Curated Insights 2018.10.26

A change in perspective

Which one of these investments would you want for the next 20 years? Mathematically you should be indifferent, but behaviorally you won’t be.

If you are aged 25-44, asset C will be cheap while you are still in the wealth accumulation stage of your life. This is why Josh Brown says millennials should be stoked for a market crash, and he is right. However, since we don’t know the future, it would be near impossible to stay with asset C while assets A and B also exist. Once again, the deciding factor is perspective.

This is why you should never forget the impact of your perspective, and the perspectives of others, when making investment decisions. You have to consider someone else’s investment umwelt before you make any important financial choices. When you see friends rushing into the hottest asset class, consider what their goals are. When you hear about a new stock tip from a broker, think about why they would be telling you that. When you feel the panic set in as everyone around you is selling, remind yourself of your long term financial plan.

Can the stock market predict the next recession?

By my calculations, the S&P 500 has had 20 bear markets (down 20% or worse) and 27 corrections (down 10% but less than 20%) since 1928. The average losses saw stocks fall 24% and lasted 228 days from peak-to-trough. Of those 47 double-digit sell-offs, 31 of them occurred outside of a recession and didn’t happen in the lead up to a recession. That means around 66% of the time, the market has experienced a double-digit drawdown with no recession as the main cause. Of those 31 which occurred outside of a recession, the losses were -18% over 154 days, on average.

We’ll have a recession at some point but odds are the stock market won’t tip us off ahead of time. In fact, most of the time people don’t even realize we’re in a recession until after it’s already begun. NBER typically gives the official word for a recession around the time they’re ending or already in the midst of a slowdown. The recession that began in March 2001 wasn’t officially called a recession by NBER until November 2001, the month it ended. The recession that began in the summer of 1990 wasn’t determined until the spring of 1991. And the recession that began in the summer of 1981 wasn’t called a recession until January of 1982.

21 lessons from Jeff Bezos’ annual letters to shareholders

2017: Build high standards into company culture
2016: Move fast and focus on outcomes
2015: Don’t deliberate over easily reversible decisions
2014: Bet on ideas that have unlimited upside
2013: Decentralize decision-making to generate innovation
2012: Surprise and delight your customers to build long-term trust
2011: Self-service platforms unlock innovation
2010: R&D should pervade every department
2009: Focus on inputs — the outputs will take care of themselves
2008: Work backwards from customer needs to know what to build next
2007: Missionaries build better products
2006: Nurture your seedlings to build big lines of business
2005: Don’t get fixated on short-term numbers
2004: Free cash flow enables more innovation
2003: Long-term thinking is rooted in ownership
2002: Build your business on your fixed costs
2001: Measure your company by your free cash flow
2000: In lean times, build a cash moat
1999: Build on top of infrastructure that’s improving on its own
1998: Stay terrified of your customers
1997: Bring on shareholders who align with your values
Links to Jeff Bezos’s Shareholder Letters (1997-2017)

The quality of quantity at Netflix

Calculating the customer acquisition cost for Netflix is easy — take the segmented marketing costs (handily provided by the company), and divide by the number of paid subscribers added.

The lifetime value of a Netflix subscriber. To work this out: 1. take the average revenue of a user in the quarter; 2. multiply it by the gross margin (to figure out how profitable a subscriber is), then
3. divide this figure by the churn rate — the proportion of customers which leave each quarter.

On to stage 2 of our calculation: the profitability per user. So that’s the numbers above, multiplied by the gross margin (revenues, minus the cost of providing the service).

Lower gross margins in the future due to higher content costs might effect the lifetime value assessment, but lets stick with existing numbers for now. So we’ve got the first two parts of our customer lifetime value calculation, leaving just the churn rate.

But that isn’t really what we’re after, what we want to know is the ratio between how much money a paid subscriber is worth — the lifetime value — and how much it costs Netflix to pull one in to its platform — the customer acquisition cost.

Tesla short seller warns of ‘massive’ supply-chain disruption

“We question the ability for Tesla to actually deliver on their promises to their customers when they’re on the brink of potentially a massive supply-chain disruption,” Quadir said in an interview on Bloomberg Television. “We see very little contingency planning, and we also see executives from the supply chain department departing in recent weeks and months.’’


Trupanion stock sinks after report of state probe

Part of the short thesis on Trupanion is based on the idea that vet activity may not comply with some state insurance regulations. It represents a bigger risk than consumer complaint investigations, which are commonplace for insurers. If regulatory challenges continue it could further dent investor sentiment about the shares.

Serverless computing’s innovative approach to software development

“By purchasing more cloud computing capacity then they really need – even as a deliberate strategy to safeguard against crashing key systems – or buying advanced reserves that they will never use, companies across all industries may be overspending on cloud services by an average of 42%, according to data compiled by Densify, a cloud optimization firm that works with big companies worldwide. That can translate into hundreds of thousands or even millions of lost dollars in IT budgets a year, depending on the size of cloud deployments, the firm said. Its estimates are based on input from 200 cloud-industry professionals and 70 global companies over the last year.”

Serverless is based on a very different resource management model. The biggest overhead is in the design of the application. Serverless applications are woven or composed from a collection of loosely coupled, lightweight modules or microservices. Each such module is only given resources when triggered by another application module or invoked by an external function. Serverless modules are expected to run for a relatively short time, and are generally limited in how long each invocation is allowed to run. Once the module finishes running, its resources are returned to the serverless platform and made available to other modules that need them. The modules are stateless, meaning that no information is carried over or remembered between invocations. Any information that needs to be persistent across invocations must be explicitly stored in a separate file or data base.

Given the special nature of serverless applications, developers no longer need to plan, allocate or provision module instances. Once a module is invoked, the serverless platform will figure out the resources it requires and automatically provision them. As other modules are invoked, the platform will automatically allocate the required resources, and take them away once they’ve finished running. Developers are only charged for the resources used during the time their modules actually run. If invoked infrequently, or if invocations are spiky, there’s no need to plan for and pay for just-in-case-resources.


Now apps can track you even after you uninstall them

Uninstall tracking exploits a core element of Apple Inc.’s and Google’s mobile operating systems: push notifications. Developers have always been able to use so-called silent push notifications to ping installed apps at regular intervals without alerting the user—to refresh an inbox or social media feed while the app is running in the background, for example. But if the app doesn’t ping the developer back, the app is logged as uninstalled, and the uninstall tracking tools add those changes to the file associated with the given mobile device’s unique advertising ID, details that make it easy to identify just who’s holding the phone and advertise the app to them wherever they go.

Curated Insights 2018.10.19

AMA with Steli Efti

A lot of times, people who are insecure about their product will offer it for free as a way to feel more comfortable, as a way to offer the customer something that’s “fair”. I would argue strongly against that. If you’re inclined to do that, don’t. Instead, ask them for money, tell them it’s completely refundable, and then don’t under any circumstance spend that money. Put it in a separate bank account. It’s not revenue until the customer has stayed for six months and says that they are happy with everything—then you can touch the money.

This has the same effect as giving your product away for free—there’s zero risk for the customer—but by doing this you’ll weed out bad customers and you’ll learn how to get customers to pay you. In the enterprise world, if you’re not putting a price tag on your product, it’s not going to be valued. A lot of times people think I’m going to start by not asking for money and then it’ll organically lead to asking for money. That’s not true. You have to charge enterprise customers, no matter how early it is. If you don’t, a lot of people are going to be friendly and give you pleasant feedback. “Oh, new technology, of course I want to see this!” It’s even going to feel like you’re accomplishing things. But you’ll be wasting your time.

Netflix’s pricing power

Despite steadily increasing the quality of its service for customers, Netflix’s pricing has lagged the growth of that consumer value leading to the build up of a large consumer surplus. That surplus, or the excess consumer value over the price of the service, is an important factor that has driven such a rapid rate of growth for the service. The bigger the surplus, the better the deal for the consumer. But this also results in a sub-optimal return for the shareholder, at least in the short run, which can look like an inferior business model if you don’t look more carefully.

The power of the model is to realize that the consumer surplus represents latent pricing power that can be reallocated via price increases or reinvestment changes towards future profits for shareholders. In Netflix’s case, we believe this is an important lever in managing the rate of its growth and returns. By offering a compelling value proposition to incremental consumers, Netflix drives subscriber growth because it is a fantastic deal at $10/month. The consumer surplus is an investment in Netflix’s rapid growth, an implicit subscriber acquisition expense in the form of foregone revenue and profit, intentionally leveraged to quickly scale so that nearly all traditional media incumbents would be left too far behind when they awoke to the direct to consumer global scale streaming video opportunity. It’s clear at this point that this strategic goal has either been accomplished or nearly has.

Tesla through the lens of Apple

Tesla picks up on Apple’s vertical integration strategy but takes it further. In addition to hardware, software, and retail, Tesla also owns and operates manufacturing facilities as well as a global supercharger network. Vertically integrating battery pack production at its Gigafactory is why Tesla is the only high volume EV manufacturer today. Had Tesla waited for the supply chain to catch up, it wouldn’t have been able to launch and scale the Model 3 for years. In our view, this is a key reason why no auto maker has released a viable competitor to the Model 3 thus far and why no company will be able to do so until 2020 at the earliest.

Tesla has spent more than a decade preparing for this moment and, in our view, has the most compelling EV pipeline of any company. The Tesla Model 3 and Model Y (a crossover SUV) have the potential to catapult EVs into the mainstream, much like the one-two punch from the iPhone and iPad in mobile computing. In the U.S. the Model 3 competes in a price category that has three times the addressable market of the Model S, and the price category where the Model Y is likely to compete has an addressable market eight times larger than the Model X. Scaled globally, if the Model 3 and Model Y are as successful as the S and X in their respective segments, Tesla should be able to generate on the order of $65 billion sustainably, even on a distribution footprint that constrains it from selling in 26 states and imposes severe price penalties on its imports into China—the world’s largest EV market. Follow-on products, such as the pickup, the semi-truck, and the Roadster, will pave the way for at least a decade of rapid growth.

While Tesla’s and Apple’s product strategy and business models share many similarities, their financial pictures could not be further apart. Apple had $9 billion in cash in 2007, while Tesla has $12 billion of long-term debt today. Apple’s gross margins were approaching 40%, while Tesla’s are 14%, and Apple spent 6% of its revenues on capital expenditure compared to Tesla’s 26%.4 In other words, Tesla’s business today is less profitable and more capital intensive than was Apple’s in 2007, a seemingly inferior model made more questionable by its substantial debt load and meager cash flows.

Adobe remains a creative software king

Great software companies have more than one act, and Act 2 for Adobe has centered on analytics and digital marketing initiatives, which are currently housed in the digital experience segment. Adobe’s prowess in creative content has allowed it to nab synergies in the digital marketing space, cross-selling to enterprise chief marketing officers already using Adobe’s software. The product, now dubbed Experience Cloud, operates in a nascent and growing industry, but Adobe’s end-to-end functionality, built internally and through acquisitions such as Omniture, TubeMogul, Magento, and Marketo, has meant it is largely regarded as the leader in the space. As companies look to create omnichannel, targeted ad campaigns, Adobe’s marketing software has become a mission-critical offering for major brands and enterprises. Experience Cloud spans marketing, advertising, and analytics, among other features. It competes with the likes of Salesforce.com (CRM) and Oracle (ORCL), which compete in the broader customer relationship management space, but we think a rising tide can lift multiple boats, with optionality for Adobe to cement itself as a digital experience leader.


Ensemble Capital quarterly call transcript Q4 2018

An important point here is that Trupanion prices its policies based on how much it costs to treat a certain breed of a certain age in a certain zip code. Once Trupanion determines how much it costs to service an average pet based on the previous data points, it adds a 30% margin to calculate the pet’s premium payments.

Each state has its own insurance regulations and Trupanion says its Territory Partners are licensed where they need to be. Technically, Territory Partners do not sell directly to policyholders in the veterinary channel and Trupanion does not pay veterinarians or their staff for referrals. The actual solicitation of the policies is done on Trupanion’s website or over the phone with one of their licensed agents. We also believe Trupanion has increasingly viewed state regulators as partners and it has added to its compliance department in recent years. That said, state insurance regulations are intentionally vague and give regulators a lot of discretion in enforcement. As such, we won’t be surprised if there’s some adverse regulatory news during our investment. But the magnitude of these events and their impact on the long-term success of the business should be kept in context.

We believe that Trupanion customers are by-and-large extremely satisfied with the product – Trupanion consistently produces monthly retention rates above 98.5% and has growing customer referrals. Surveys also show that veterinarians recommend Trupanion more frequently than any other pet insurance offering. We also believe that the company is facilitating a positive ecosystem that creates value for all the parties involved — pet owners, pets, and veterinarians.

Booking has intentionally focused on these areas because hotel reservations are far more profitable than airfare and market fragmentation outside the US makes hotels far more dependent on Booking than those in the US. In the US, the top 10 hotel chains lead the market with many travelers going directly to Hilton.com or Hyatt.com to book a room. While in Europe and Asia, independent hotels dominate, and these hotels need some sort of central “marketplace” on which travelers can find them.

Booking is so dominant that one risk they run is letting their heavy spending on advertising (Google ads or ads on other travel sites such as TripAdvisor) push up the going rate on these auction-based ads. With that in mind, the company strategically reduced their spending on these sorts of ads starting last year in an attempt to reduce market prices and reinvest in driving visitors directly to their website. One casualty of this move was online hotel metasearch site Trivago, which was so dependent on Booking’s ad spend that the company’s strategic shift lead to Trivago’s revenue growth to fall from +70% to a 20% decline over the last year, sending the stock down 80%. Rarely in our memory can we recall a competitive move by one of our holdings so completely debilitating another member of their industry.

Ctrip and Booking have essentially declared a truce with Booking owning a large stake (with the right to buy more) of Ctrip. In essence, their agreement funnels Chinese travelers using Ctrip to travel outside of China to Booking.com while many non-Chinese travelers traveling to China via Booking.com are routed to Ctrip. Why have they made this deal? Well, in the words of Ctrips CEO Jane Sun, “Booking.com is a global brand and in hotels, they are just so far ahead of anybody else. I think it will be very difficult for anybody to come close to them.”

How Netflix expanded to 190 countries in 7 years

Taken together, the elements of Netflix’s expansion strategy constitute a new approach that I call exponential globalization. It’s a carefully orchestrated cycle of expansion, executed at increasing speed, to an increasing number of countries and customers. The approach has helped the company expand far more quickly than competitors. Going forward, Netflix will face increasing competition not only from other global players such as Amazon Prime but also from new entrants and regional or local players. In that regard, it will have to continue to expand its blending of global and regional content.


Did Uber steal Google’s intellectual property? | The New Yorker

Indeed, even if the criminal investigation and the arbitration against Levandowski come to naught, in many ways Waymo and Google have already prevailed. “The people at Google got what they wanted,” one of the lawyers who represented Uber told me. “They got Anthony fired, they distracted Uber and slowed its progress for an entire year, and they let everyone know that if you leave with some of their stuff they can screw with you so bad that everyone will think you’re toxic.”

Porsche IPO could value carmaker as high as $81 billion, CFO says

Porsche is Volkswagen’s crown jewel and closely connected with its history. The companies were separate until Volkswagen acquired the Porsche brand in 2012 in the aftermath of a failed takeover attempt by the the descendants of Ferdinand Porsche. The family, which was forced to sell the maker of the 911 sports car after financing collapsed on the deal, still controls a majority of Volkswagen’s common stock and would need to sign off on any deal to spin off Porsche.

Ferrari’s listing in 2015 not only showed the supercar maker’s own value, but also exposed weaknesses at parent Fiat Chrysler Automobiles NV’s mass-market operations, Meschke said. Fiat was able to address these more specifically after the spin off, he said. While it’s been a windfall for the Italian-American auto maker, the strategy isn’t infallible. Aston Martin, another luxury sports-car maker that is seeking a Ferrari-like multiple, has slumped more than 20 percent since its London debut this month.

Points International poised for 72% reward

PCOM operates in the loyalty industry with an unfair advantage in airline loyalty programs. They work with: 7/10 largest airlines in North America; 2/10 largest airlines in Europe; 2/10 largest airlines in AMEA (Emirates was onboarded this year).

Little/no real competition except internal systems developed by airlines.

PCOM is typically the 2nd largest buyer of loyalty points after the banks. The loyalty industry is a large and growing.

In addition, PCOM has developed a software/technology layer that provides common functionality to all three businesses. This technology layer is what the company calls “Loyalty Commerce Platform”. In the last 5 years PCOM has invested heavily into developing this platform which now enables client onboarding in as little as 3 weeks. It also provides operating leverage as the system manages many of the functions previously managed by people.

It takes years of working with multi-billion-dollar brands to get access to their customer base. This represents a level of stickiness that cannot be built quickly with venture capital money. It is also resistant to disruptive technology.

Schadenfreude: reposting a 2011 post on Sears

My view: owning Sears as a property play is a demonstration of the arrogance and breathtaking naivete of much that passes on Wall Street. Sears Holdings has over 300 thousand employees. I don’t know how you successfully liquidate a business integrated with that many lives. I don’t know of anyone who has ever successfully liquidated a business with that many employees.** I am not sure it can be done and it certainly can’t be done by someone with my skill-set (highly analytical, ability to spy value or value traps but no people management skill and not much tact).

The idea that Sears was going to be managed/liquidated by a bunch of hedge fund guys (people like me) well – that was comical.

Just to stress the point for my fund manager friends who read accounts and have my skills (but like me are often disconnected from the businesses they invest in) I will state the obvious. The employees are living breathing people and as you pull the business apart the way you treat those people and how they think about you (and behave towards you) are critical to any value you extract in liquidation. Someone has to look these people in the eye and tell them they don’t have a job. And someone has to pick-and-choose which people to fire and which to retain. And they have to do this without destroying much of the value extracted along the way. They have to liquidate the firm in such a way that the value accrues to the liquidators and not to the people who are being screwed.

Curated Insights 2018.10.12

“[The whole tech bubble] is very interesting, because the stock is not the company and the company is not the stock. So as I watched the stock fall from $113 to $6 I was also watching all of our internal business metrics: number of customers, profit per unit, defects, everything you can imagine. Every single thing about the business was getting better, and fast. So as the stock price was going the wrong way, everything inside the company was going the right way. We didn’t need to go back to the capital markets because we didn’t need more money. The only reason a financial bust makes it really hard is to raise money. So we just needed to progress.”

“Everything I have ever done has started small. Amazon started with a couple of people. Blue Origin started with five people and the budget was very small. Now the budget approaches a billion dollars. Amazon was literally ten people, today it’s half a million. For me it’s like yesterday I was driving packages to the post office myself and hoping one day we could afford a forklift. For me, I’ve seen small things get big and it’s part of this ‘day one’ mentality. I like treating things as if they’re small; Amazon is a large company but I want it to have the heart and spirit of a small one.”

“I believe in the power of wandering. All of my best decisions in business and in life have been made with heart, intuition and guts. Not analysis. When you can make a decision with analysis you should do so. But it turns out in life your most important decisions are always made with instinct, intuition, taste and heart.”

“AWS completely reinvented the way companies buy computation. Then a business miracle happened. This never happens. This is the greatest piece of business luck in the history of business as far as I know. We faced no like-minded competition for seven years. It’s unbelievable. When you pioneer if you’re lucky you get a two year head start. Nobody gets a seven year head start. We had this incredible runway.”

“We are so inventive that whatever regulations are promulgated or however it works, that will not stop us from serving customers. Under all regulatory frameworks I can imagine, customers are still going to want low prices, they are still going to want fast delivery, they are still going to want big selection. It is really important that politicians and others need to understand the value big companies bring and not demonise or vilify big companies. The reason is simple. There are certain things only big companies can do. Nobody in their garage is going to build an all carbon-fiber fuel efficient Boeing 787. It’s not going to happen. You need Boeing to do that. This world would be really bad without Boeing, Apple, Samsung and so on.”

How big can Amazon get?

What business is Amazon most similar to? Definitely not Wal-Mart. Amazon’s model is much, much closer to Costco’s model. How does Costco’s model differ from Wal-Mart’s model?

Costco does not try to be a leading general retailer in specific towns, counties, states, the nation as a whole, etc. What Costco does is focus on getting a very big share of each customer’s wallet. Costco also focuses on achieving low costs for the items it does sell by concentrating its buying power on specific products and therefore being one of the biggest volume purchasers of say “Original” flavor Eggo waffles. It sells these waffles in bulk, offers them in one flavor (Wal-Mart might offer five different flavors of that same product) and thereby gets its customer the lowest price.

There’s two functions that Costco performs where it might be creating value, gaining a competitive advantage, etc. One is supply side. Costco may get lower costs for the limited selection it offers. In some things it does. In others, it doesn’t. The toughest category for Costco to compete in is in fresh food. I shop at Costco and at other supermarkets in the area. The very large format supermarkets built by companies like HEB (here in Texas) can certainly match or beat Costco, Wal-Mart, and Amazon (online and via Whole Foods stores) when it comes to quality, selection, and price for certain fresh items. But, what can Costco do that HEB can’t? It can have greater product breadth (offering lots of non-food items) and it can make far, far, far more profit per customer.

Now, an interesting question to ask is what SHOULD determine the market value per customer. Not what does. But, what should? In other words, if we had to do a really, really long-term discounted cash flow calculation – what variables would matter most? If two companies both have 10 million customers which company should be valued higher and why? Two variables matter. One: Annual profit per customer. Two: Retention rate. Basically, we’re talking about a DCF here. If Company A and Company B both have 10 million customers and both make $150 per customer the company that should have a higher earnings multiple (P/E or P/FCF) should be the one with the higher retention rate.

What Spotify can learn from Tencent Music

Tencent Music is no small player: As the music arm of Chinese digital media giant Tencent, its four apps have several hundred million monthly active users, $1.3 billion in revenue for the first half of 2018, and roughly 75 percent market share in China’s rapidly growing music streaming market. Unlike Spotify and Apple Music, however, almost none of its users pay for the service, and those who do are mostly not paying in the form of a streaming subscription.

Its SEC filing shows that 70 percent of revenue is from the 4.2 percent of its overall users who pay to give virtual gifts to other users (and music stars) who sing karaoke or live stream a concert and/or who paid for access to premium tools for karaoke; the other 30 percent is the combination of streaming subscriptions, music downloads, and ad revenue.

Tencent Music has an advantage in creating social music experiences because it is part of the same company that owns the country’s leading social apps and is integrated into them. It has been able to build off the social graph of WeChat and QQ rather than building a siloed social network for music. Even Spotify’s main corporate rivals, Apple Music and Amazon Music, aren’t attached to leading social platforms.


Traffic acquisition costs

In other words the two companies have an agreement that Apple is paid in proportion to the actual query volume generated. This would extend the relationship from one of granting access for a number of users or devices to revenue sharing based on usage or consumption. Effectively Apple would have “equity” in Google search sharing in the growth as well as decline in search volume.

The idea that Apple receives $1B/month of pure profit from Google may come as a shock. It would amount to 20% of Apple’s net income and be an even bigger transfer of value out of Google. The shock comes from considering the previously antagonistic relationship between the companies.

The remarkable story here is how Apple has come to be such a good partner. Both Microsoft and Google now distribute a significant portion of their products through Apple. Apple is also a partner for enterprises such as Salesforce, IBM, and Cisco. In many ways Apple is the quintessential platform company: providing a collaborative environment for competitors as much as for agnostic third parties.

Shares of pet insurer Trupanion are overvalued

Much of the Trupanion excitement is based on the low 1% penetration rate and the fact that it’s the only pet-insurance pure play. Bradley Safalow, who runs PAA Research, an independent investment research firm, disputes the lofty expectations. Bulls extrapolate from industry data that say about two million pets out of 184 million in North America are insured now. Safalow says that ignores a key factor—the income levels of pet owners. Because Trupanion’s policies cost about $600 to $1,500 annually and don’t cover wellness visits, he estimates that, in the case of dogs, which represent 85% of the pet market, a more realistic target customer would be owners who earn $85,000 or more a year. Based on that benchmark, Safalow estimates insurance penetration—of those most likely to buy it—at about 6% already for dogs.

The requests for rate increases would indicate that premiums aren’t keeping up with claims; that the policy risks are worse than the company expected; and that the profitability of its book of business is relatively weak. APIC’s ratio of losses and loss-adjustment expense to premiums earned have risen steadily over the past four years to 75.6% in the first quarter of this year from 68.9% for all of 2014, according to state filings. The loss ratio is total losses incurred in claims plus costs to administer the claims (loss adjustment expense) divided by premiums earned.

Bob Iger’s bets are paying off big time for Disney

Iger thinks he knows how to coax consumers who already pay for one streaming service to either add another or switch to Disney’s. “We’re going to do something different,” he says. “We’re going to give audiences choice.” There are thousands of barely watched movies on Netflix, and Iger figures that people don’t like to pay for what they don’t use. So families can buy only a Disney stream, which will offer Pixar, Marvel, Lucas, Disney-branded programming. Sports lovers can opt just for an ESPN stream. Hulu, of which Disney will own a 60% stake after it buys Fox (and perhaps more if it can persuade Comcast to sell its share), will beef up ABC’s content with Fox Searchlight and FX and other Fox assets. “To fight [Amazon and Netflix], you’ve got to put a lot of product on the table,” says Murdoch. “You take what Disney’s got in sports, in family, in general entertainment—they can put together a pretty great offer.”

Having a leader who is willing to insulate key creative people from the vicissitudes of business has helped Disney successfully incorporate its prominent acquisitions. They have not been Disneyfied. Marvel movies are not all of a sudden family friendly (at least not by Disney standards). Pixar movies have not been required to add princesses. Most of the people who ran the companies before Disney bought them still run them (with the exception of John Lasseter, who was ousted in June in the wake of #MeToo). “I’ve been watching him with his people and with Fox people; he’s clearly got great leadership qualities,” says Murdoch.”He listens very carefully and he decides something and it’s done. People respect that.”


Can anyone bury BlackRock?

Today the Aladdin platform supports more than $18 trillion, making it one of the largest portfolio operating systems in the industry. BlackRock says Aladdin technology has been adopted in some form by 210 institutional clients globally, including asset owners such as CalSTRS and even direct competitors like Vanguard.

“Not only does it provide risk transparency, but it also provides an ability to model trades, to capture trades, to structure portfolios, to manage portfolio compliance — all of the operating components of the workflow,” Goldstein says. “It’s a comprehensive, singular enterprise platform versus a model where you’re piecing together a lot of things and trying to figure out how to interface them.”

In a market that’s traditionally been very fragmented, BlackRock’s ability to offer an integrated, multipurpose platform has proven a strong selling point for prospective clients — even when it’s up against competitors that perform specific functions better.

How to break up a credit ratings oligopoly

This is not to say Kroll’s firm, Kroll Bond Rating Agency, hasn’t been successful. It grew gross fees by 49 percent annualized between 2012 and the end of 2017 on the back of growing institutional demand for alternative investments. Since 2011 it has rated 11,920 transactions, representing $785 billion and 1,500 issuers. Still, KBRA and other competitors, including Lisbon-based ARC Ratings and Morningstar Credit Ratings, that have entered the sector in the last decade have barely made a dent in the market share of the big three.

The upstarts are facing more than just deeply entrenched competition, although that is striking: S&P, Moody’s, and Fitch control more than 90 percent of the market combined. A host of other complex factors have combined to make it nearly impossible to dislodge the big three — and to address the central conflict of interest baked into the ratings agency business model.


Elon Musk, Google and the battle for the future of transportation

We think a similar analogy is likely with AV/EV — the most economically well-off people will still care about comfort, features, and identity that the AV/EV they ride and arrive in imparts on them. If Waymo can deliver a premium experience at a better price and higher utility than their current solution (i.e. driving themselves in their own cars or Ubers/taxis) with cost economics that yield a strong profit margin/ROIC at scale (1/2-1/3 the pricing of Uber at 1/10 the cost), it will have built an offering that will be set to be the leading AV service and create tremendous value for shareholders despite the early capital intensity. Estimates of the value of this Transportation as a Service (TaaS) or Mobility as a Service (MaaS) go from hundreds of billions on up based on Morgan Stanley’s estimate of 11 billion miles (3B in the US) driven globally and forecasted to double over the next decade.

Eventually, if Waymo is successful at taking the strong lead via network effects in AV and converting enough consumers to use its premium service (achieving a cultural and regulatory tipping point), it could decide to open up its service’s usage across other auto “hardware” partners as they demonstrate their ability to deliver a certain level of quality experience and scale globally, enabling a broader application of its service to lower tiers of the market with lower capital intensity (akin to Apple’s 2nd hand iPhone market, which broadens its user base for services offerings).


Network effect: How Shopify is the platform powering the DTC brand revolution

“The 21st-century brand is the direct-to-consumer brand,” said Jeff Weiser, chief marketing officer at Shopify. “A couple of things have enabled the rise of the DTC, which is the ability to outsource the supply chain.” For Weiser, who described himself as “loving” anything to do with DTC, what Shopify does is power all of that ability — from selling to payments to marketing. “We run the gamut of a retail operating system.” The company has admittedly benefited from a DTC boom: Starting with small businesses run from people’s kitchens, then going upmarket to giant Fortune 500 companies, Weiser said that DTC’s “graduation” into giant juggernauts themselves has made a huge difference. Shopify powers hundreds of those companies, from Allbirds to mattress brand Leesa to Chubbies.

Just as Google and Facebook are core to anyone marketing online, Shopify is becoming the same to those who sell directly online. Like any platform, Shopify is building an ecosystem of developers, startups and ad agencies. The company has 2,500 apps through its own app store. The company can, like the Apple App Store, add apps into its ecosystem that merchants can then purchase.


Why the Elastic IPO is so important

Elastic’s open source products are downloaded voluminously, with over 350M downloads of its open source software to date. As a result, sales engages with customers who are already users and highly familiar with the products. This leads to shorter sales cycles and higher sales conversions. Additionally, awareness and engaged prospects are generated by popular open source projects, such as Elasticsearch and others from Elastic, obviating the need for top-of-funnel and mid-funnel marketing spend. Elastic still spent a healthy 49% of revenue on Sales & Marketing in FY ’18 (year ending Jan ’18) but this was down from 60% the prior year, and the implied efficiency on Elastic’s Sales & Marketing spend is extremely high, enabling the 79% top-line growth the company has enjoyed. Finally, Elastic shows how disruptive an open source model can be to competition. There are already large incumbents in the search, analytics, IT Ops and security markets, but, while the incumbents start with sales people trying to get into accounts, Elastic is rapidly gaining share through adoption of its open source by practitioners.

Elastic controls the code to it open source projects. The committers are all employed by the company. Contributions may come from the community but committers are the last line of defense. This is in contrast to open source projects such as Linux and Hadoop, where non profit foundations made up of many commercial actors with different agendas tend to govern updates to the software. The biggest risk to any open source project is getting forked and losing control of the roadmap, and its difficult for a company to build a sustainable high margin business supporting a community-governed open source project as a result. Elastic, and other companies who more tightly control the open source projects they’ve popularized, have full visibility to roadmaps and are therefore able to build commercial software that complements and extends the open source. This isn’t a guarantee of success. The viability of any open source company rests with the engagement of its open source community, but if Elastic continues to manage this well, their franchise should continue to grow in value for for foreseeable future.


Elastic closed 94% up in first day of trading on NYSE, raised $252M at a $2.5B valuation in its IPO

“When you hail a ride home from work with Uber, Elastic helps power the systems that locate nearby riders and drivers. When you shop online at Walgreens, Elastic helps power finding the right products to add to your cart. When you look for a partner on Tinder, Elastic helps power the algorithms that guide you to a match. When you search across Adobe’s millions of assets, Elastic helps power finding the right photo, font, or color palette to complete your project,” the company noted in its IPO prospectus.

“As Sprint operates its nationwide network of mobile subscribers, Elastic helps power the logging of billions of events per day to track and manage website performance issues and network outages. As SoftBank monitors the usage of thousands of servers across its entire IT environment, Elastic helps power the processing of terabytes of daily data in real time. When Indiana University welcomes a new student class, Elastic helps power the cybersecurity operations protecting thousands of devices and critical data across collaborating universities in the BigTen Security Operations Center. All of this is search.”

The Big Hack: How China used a tiny chip to infiltrate U.S. companies

One government official says China’s goal was long-term access to high-value corporate secrets and sensitive government networks. No consumer data is known to have been stolen.

With more than 900 customers in 100 countries by 2015, Supermicro offered inroads to a bountiful collection of sensitive targets. “Think of Supermicro as the Microsoft of the hardware world,” says a former U.S. intelligence official who’s studied Supermicro and its business model. “Attacking Supermicro motherboards is like attacking Windows. It’s like attacking the whole world.”

Since the implants were small, the amount of code they contained was small as well. But they were capable of doing two very important things: telling the device to communicate with one of several anonymous computers elsewhere on the internet that were loaded with more complex code; and preparing the device’s operating system to accept this new code. The illicit chips could do all this because they were connected to the baseboard management controller, a kind of superchip that administrators use to remotely log in to problematic servers, giving them access to the most sensitive code even on machines that have crashed or are turned off.

Can anyone catch America in plastics?

Ethane, once converted to ethylene through “cracking” is the principal input into production of polyethylene. Simply put, ethane is turned into plastic. Polyethylene is manufactured in greater quantities than any other compound. U.S. ethane production has more than doubled in the past decade, to 1.5 Million Barrels per Day (MMB/D).

The result is that ethane trade flows are shifting, and the U.S. is becoming a more important supplier of plastics. The Shale Revolution draws attention for the growth in fossil fuels — crude oil and natural gas, where the U.S. leads the world. But we’re even more dominant in NGLs, contributing one-third of global production. The impact of NGLs and consequent growth in America’s petrochemical industry receives far less attention, although it’s another huge success story.


Amazon’s wage will change how U.S. thinks about work

If $15 an hour becomes the new standard for entry-level wages in corporate America, its impact may be felt most broadly among middle-class workers. Average hourly earnings for non-managerial workers in the U.S. were $22.73 an hour in August. The historically low level of jobless claims and unemployment, combined with $15 an hour becoming an anchor in people’s minds, could make someone people earning around that $22 mark feel more secure in their jobs. Instead of worrying about losing their job and being on the unemployment rolls for a while, or only being able to find last-ditch work that pays $9 or $10 an hour, the “floor” may be seen as a $15 an hour job.

That creates a whole new set of options for middle-class households. In 2017, the real median household income in the U.S. was $61,372, which is roughly what two earners with full-time jobs making $15 an hour would make. A $15-an-hour floor might embolden some workers to quit their jobs to move to another city even without a job offer there. It might let some workers switch to part-time to focus more time on education, gaining new skills or child care.

Circle of competence

It’s not the size of your circle of competence that matters, but rather how accurate your assessment of it is. There are some investors who are capable of figuring out incredibly complex investments. Others are really good at a wide variety of investments types, allowing them to take advantage of a broad set of opportunities. Don’t try to keep up with the Joneses. Figure out what feels comfortable, and do that. If you are not quite sure whether something is within your circle of competence or not – that in and of itself is an indicator that it’s better to pass. After all, to quote Seth Klarman’s letter to his investors shortly after the Financial Crisis of 2008, “Nowhere does it say that investors should strive to make every last dollar of potential profit; consideration of risk must never take a backseat to return.”


Lessons from Howard Marks’ new nook: “Mastering the Market Cycle – Getting the Odds on Your Side”

… you can prepare; you can’t predict. The thing that caused the bubble to burst was the insubstantiality of mortgage-backed securities, especially subprime. If you read the memos, you won’t find a word about it. We didn’t predict that. We didn’t even know about it. It was occurring in an odd corner of the securities market. Most of us didn’t know about it, but it is what brought the house down and we had no idea. But we were prepared because we simply knew that we were on dangerous ground, and that required cautious preparation.


Market timing is hard

People use data to justify market timing. But it’s hindsight bias, right? If you know ahead of time when the biggest peaks and troughs were through history, you can make any strategy look good. So Antti and his co-authors made a more realistic and testable market timing strategy. And here’s the key difference — instead of having all hundred years of history, Antti’s strategy used only the information that was available at the time. So, say for example it’s 1996, early tech bubble. We know after the fact that the U.S. stock market would get even more expensive for a few years before it crashed. But in 1996 you wouldn’t actually know that. So by doing their study this way, Antti could get a more realistic test of value-based market timing.

The interesting and troubling result was when we did this market timing analysis the bottom line was very disappointing. It was not just underwhelming, it basically showed in the last 50-60 years, in our lifetimes, you didn’t make any money using this information.

The Decision Matrix: How to prioritize what matters

I invested some of that time meeting with the people making these decisions once a week. I wanted to know what types of decisions they made, how they thought about them, and how the results were going. We tracked old decisions as well, so they could see their judgment improving (or not).

Consequential decisions are a different beast. Reversible and consequential decisions are my favorite. These decisions trick you into thinking they are one big important decision. In reality, reversible and consequential decisions are the perfect decisions to run experiments and gather information. The team or individual would decide experiments we were going to run, the results that would indicate we were on the right path, and who would be responsible for execution. They’d present these findings.

Consequential and irreversible decisions are the ones that you really need to focus on. All of the time I saved from using this matrix didn’t allow me to sip drinks on the beach. Rather, I invested it in the most important decisions, the ones I couldn’t justify delegating. I also had another rule that proved helpful: unless the decision needed to be made on the spot, as some operational decisions do, I would take a 30-minute walk first.

Risk management

Once you frame risk as avoiding regret, the questions becomes, “Who cares what’s hard but I can recover from? Because that’s not what I’m worried about. I’m worried about, ‘What will I regret?’”

So risk management comes down to serially avoiding decisions that can’t easily be reversed, whose downsides will demolish you and prevent recovery.

Actual risk management is understanding that even if you do everything you can to avoid regrets, you are at best dealing with odds, and all reasonable odds are less than 100. So there is a measurable chance you’ll be disappointed, no matter how hard you’ll try or how smart you are. The biggest risk – the biggest regret – happens when you ignore that reality.

Carl Richards got this right, and it’s a humbling but accurate view of the world: “Risk is what’s left over when you think you’ve thought of everything.”


The most important survival skill for the next 50 years isn’t what you think

Even if there is a new job, and even if you get support from the government to kind of retrain yourself, you need a lot of mental flexibility to manage these transitions. Teenagers or 20-somethings, they are quite good with change. But beyond a certain age—when you get to 40, 50—change is stressful. And a weapon you will have [is] the psychological flexibility to go through this transition at age 30, and 40, and 50, and 60. The most important investment that people can make is not to learn a particular skill—”I’ll learn how to code computers,” or “I will learn Chinese,” or something like that. No, the most important investment is really in building this more flexible mind or personality.

The better you know yourself, the more protected you are from all these algorithms trying to manipulate you. If we go back to the example of the YouTube videos. If you know “I have this weakness, I tend to hate this group of people,” or “I have a bit obsession to the way my hair looks,” then you can be a little more protected from these kinds of manipulations. Like with alcoholics or smokers, the first step is to just recognize, “Yes, I have this bad habit and I need to be more careful about it.”

And this is very dangerous because instead of trying to find real solutions to the new problems we face, people are engaged in this nostalgic exercise. If it fails—and it’s bound to fail—they’ll never acknowledge it. They’ll just blame somebody: “We couldn’t realize this dream because of either external enemies or internal traitors.” And then this is a very dangerous mess.

The other danger, the opposite one, is, “Well, the future will basically take care of itself. We just need to develop better technology and it will create a kind of paradise on earth.” Which doesn’t take into account all of the dystopian and problematic ways in which technology can influence our lives.

Curated Insights 2018.09.21

Brent Beshore: Learning to pole vault

Marketing will only get you where you’re going faster. If your product isn’t valuable, marketing will help put you out of business, fast. The best way to build trust and generate attention is to be relatively excellent. I say “relatively” because some markets are more efficient/mature than others. The less developed a market, the less valuable you have to be in absolute terms. You just have to be better than everyone else. I don’t want to try to outcompete smart, well-read, and hard working people. I want to find the lowest bar to jump over and then get good at pole vaulting.

Picking your field is arguably more important to your success than your current skill and future capacity. In some segments of business, everyone makes lots of money and the very best do outrageously well. In other areas, even the very best often declare bankruptcy. It’s a base rate analysis. Assume you’re only going to be mediocre, then explore what business and life look like if that’s true. So choose your field wisely and get good at what you’re doing before trying to make noise.

AI has far-reaching consequences for emerging markets

Without a cost incentive to locate in the developing world, corporations will bring many of these functions back to the countries where they’re based. That will leave emerging economies, unable to grasp the bottom rungs of the development ladder, in a dangerous position: the large pool of young and relatively unskilled workers that once formed their greatest comparative advantage will become a liability – a potentially explosive one.

The result will be an unprecedented concentration of productive capacity and wealth in the hands of the elite AI companies, almost all of which are located in the US and China. Of the US$15.7 trillion in wealth that AI is forecast to generate globally by 2030, a full 70 per cent will accrue to those two countries alone, according to a study by consulting firm PwC.

Spotify will now let indie artists upload their own music

According to a recent report by The NYT, artists working with labels may see much smaller percentages. The report said that Spotify typically pays a record label around 52 percent of the revenue generated by each stream. The label, in turn, then pays the artist a royalty of anywhere from 15% to as high as 50%. If artists are dealing directly with Spotify, they could be making more money.

Labels suggested that they could retaliate against Spotify for overstepping. The NYT had also said. They may do things like withhold licenses Spotify needs for key international expansions, like India, or not agree to new terms after existing contracts expire. They could also offer more exclusives and promos to Spotify’s rivals, like Apple Music, which has surged ahead in the U.S. and is now neck-and-neck here with Spotify for paid subscribers.

A music upload feature also means artists who own their own rights could break out big on Spotify if they catch the attention of playlist editors – something that Spotify now makes it easier for them to do, as well. In addition, having indies upload music directly means Spotify could better compete against Apple Music by attracting more artists and their fans to its platform.


Apple’s neural engine = Pocket machine learning platform

If you have followed many of the posts I’ve written about the challenges facing the broader semiconductor industry, you know that competing with Apple’s silicon team is becoming increasingly difficult. Not just because it is becoming harder for traditional semiconductor companies to spend the kind of R&D budget they need to meaningfully advance their designs but also because most companies don’t have the luxury of designing a chip that only needs to satisfy the needs of Apple’s products. Apple has a luxury as a semiconductor engineering team to develop, tune, and innovate specialized chips that exist solely to bring new experiences to iPhone customers. This is exceptionally difficult to compete with.

However, the area companies can try with cloud software. Good cloud computing companies, like Google, can conceivably keep some pace with Apple as they move more of their processing power to the cloud and off the device. No company will be able to keep up with Apple in client/device side computing but they can if they can utilize the monster computing power in the cloud. This to me is one of the more interesting battles that will come over the next decade. Apple’s client-side computing prowess vs. the cloud computing software prowess of those looking to compete.


Tim Cook reveals in interview that the Chinese consumer is different because they don’t carry the burden of the desktop era

China has not experienced the so-called stage of the desktop Internet, but directly embraced the mobile Internet. Therefore, Chinese consumers do not have the burden of the desktop Internet era. This explains to some extent why China’s mobile payment share is so high. In other countries, the mobile payment process is much slower. In fact, they just have no more attempts.”

Perhaps Apple’s delay in advancing Macs and angering the pro community comes from this deep seated attitude that it’s a “burden” holding back the advancement of their iOS agenda.

The best company you’ve never heard of

With no true competitive threats, wide-moat commercial real estate data provider CoStar Group is a borderline monopoly. The other companies in the space are predominately small startups focused on crowdsourcing data. These companies can’t replicate the intangible assets from the vast cost and effort associated with compiling the data the company offers to its customer base.

Given the importance customers place on the underlying data, CoStar also keeps competitors at bay with a switching cost moat source. It’s just too risky to switch sources. Strong platform effects found throughout CoStar’s product offerings earn the company a network effect moat source, too.

The company continues to increase its coverage and boasts that it covers every building in the country, widening the gap between itself and its fragmented competition. The firm recently established itself as a leading provider of rental data with its acquisitions of Apartment Finder and Apartments.com. CoStar is only 30% penetrated in its target market for apartments, so we see room for growth in this area.

Moreover, CoStar is only 15% penetrated in the broker community and 7% penetrated with institutional investors, two groups we can see the firm going after. As several investments are integrated and benefits are realized, we project CoStar’s economic profit to steadily increase over the next several years, reflecting our positive moat trend rating.

Here’s why Yelp and Grubhub could keep rising

“Grubhub is in the early stages of enabling the shift to online of the still offline dominant restaurant takeout businesses and driving the improved consumer experience that comes with it,” they wrote. About “90% of delivery and pickup orders still come from offline, making the phone book, print out menus and walk-ins the number one competitor to Grubhub and its peers.”

How early is the shift? “We estimate Grubhub has about 40% market share of the third-party online delivery/pickup industry which itself we estimate has a 4% penetration of the $250 billion restaurant takeout industry,” they wrote. “Its early mover and scale advantage—about 85,000 restaurants on its platform in 1,600 cities—has allowed Grubhub to offer, in our view, the best consumer value across its competitors.”


Why Yelp could rise 200%

If we can introduce ourselves to those advertisers with a good ‘til canceled $300, $400 a month, $10, $20 a day kind of service proposition, what we’re finding is it really opens up our sales funnel. It makes our product more competitive in the marketplace. It allows us to get into third-party sales channels that we haven’t been in before. And we’re now kind of one quarter into it and we had this quarter, the first quarter, about 140% as many new or net customer additions in this quarter as we’ve had in any prior quarter and kind of 2x the run rate that we’ve normally seen when we were selling the term contract. And, now, we move to the non-term contract.

In the long-term, our tests and our analysis all show that the LTV of a cohort of advertisers that we bring in today will be quite a bit higher. And what we’ve seen in our tests is that we continue to sell the sort of long and strong loyal long-term advertisers under the new pricing model just as we always have, but on top of that we’re introducing ourselves to a lot more new customers along the way

Yelp is in the early days of elevating the consumer experience by expanding the number of transactional features such as Request-A-Quote from a home service professional or book a restaurant reservation or spa appointment. Request-A-Quote lead volume grew 27% from the first to the second quarter of 2018 and topped 5.5 million delivered requests in the second quarter. During that same short timeframe, revenue attributable to Request-A-Quote increased by more than 50%, surpassing a $35 million annual run rate at the end of the second quarter. The company is not yet fully monetizing Request-A-Quote, which we believe could accelerate free cash growth even further. We like finding misunderstood, yet promising, and free embedded call options within the companies we invest in and hope Request-A-Quote proves to a second material avenue for free cash per share growth.


GGV Capital: Unpacking Xiaomi’s IPO

Instead of paying for users, Xiaomi actually gets paid at least 5% gross margin through hardware to get users…it’s a very different model from almost any other internet services model out there. So if this is sustainable, and to make sure this is sustainable is to have a lot more hardware products out there that the middle class can buy, and use that portfolio of hardware devices to get paid for acquiring users, so that internet services can scale thereafter…There’s definitely elements of Muji and Uniqlo in a different field for Xiaomi, there’s definitely elements of a Costco model of subscription plus very low cost to make sure more products are affordable by the rising consumer class, there’s definitely elements of Amazon in there as a platform to sell many products and being very focused at delivering a superior experience…

If we look at the number of internet users coming online, the next 1.5bn internet users coming online between now and 2030, most of that growth will come from the 74 countries that Xiaomi is in already. So when people ask me if Xiaomi is coming to the US or not, they completely miss the point, the growth is coming from the existing countries that Xiaomi’s already in…

Xiaomi has over 18 apps, each with monthly active users of over 50mn. It also has 38 apps, each with over 10mn MAUs. In aggregate, it did over 1.5bn RMB in internet services revenue in 2017, which already puts them as a top 25 internet services only company in the world. The most popular [app] that people know is probably Xiaomi Video, which has an interesting way of becoming aggregation services. It doesn’t license content from anyone, what it does is it aggregates content from all the top Chinese video apps, each of which have already licensed the content and whenever a user clicks on a video, it takes you to the content from its partners but within the app itself, so you can have a more integrated experience. It charges advertising revenue and also subscription from the users…and they share that revenue with its partners that provide the original video content. So, it can focus on providing the most comprehensive collection of content to the user, at the same time, so far, they don’t have to spend much money on acquiring the content itself.”


Tesla, software and disruption

It’s pretty clear that electric disrupts the internal combustion engine, and everything associated with it. It’s not just that you replace the internal combustion engine with electric motors and the fuel tank with batteries – rather, you remove the whole drive train and replace it with sometime with 5 to 10 times fewer moving or breakable parts. You rip the spine out of the car. This is very disruptive to anyone in the engine business – it disrupts machine tools, and many of the suppliers of these components to the OEMs. A lot of the supplier base will change.

We will go from complex cars with simple software to simple cars with complex software. Instead of many stand-alone embedded systems each doing one thing, we’ll have cheap dumb sensors and actuators controlled by software on a single central control board, running some sort of operating system, with many different threads (there are a few candidates). This is partly driven by electric, but becomes essential for autonomy.

Tesla’s first bet is that it will solve the vision-only problem before the other sensors get small and cheap, and that it will solve all the rest of the autonomy problems by then as well. This is strongly counter-consensus. It hopes to do it the harder way before anyone else does it the easier way. That is, it’s entirely possible that Waymo, or someone else, gets autonomy to work in 202x with a $1000 or $2000 LIDAR and vision sensor suite and Tesla still doesn’t have it working with vision alone.

‘Flash Boys’ exchange IEX wins first listing

The U.S. corporate-listings business, in which companies pay fees to an exchange for services tied to being the primary venue for the company’s stock trading, has for years been an effective duopoly of the NYSE and Nasdaq. A third big exchange group, Cboe Global Markets Inc., lists exchange-traded funds and its own shares, but hasn’t made a bid to attract other companies. NYSE parent Intercontinental Exchange Inc. and Nasdaq earned a combined $684 million from listings last year, according to the two exchange groups.

“We at Interactive Brokers understand that being the first listing on a new exchange may entail certain risk, but we think that individual and institutional customers who own and trade our stock will receive better execution prices and that advantage will outweigh the risk,” Mr. Peterffy said in a press release announcing the move.

Because of China’s outsized workforce, the density of automation usage lags other countries: 68 robots per 10,000 industrial workers, compared with 631 bots for every 10,000 manufacturing staff in South Korea, the global leader in automation. Singapore, Germany and Japan all have higher densities of automation than China. China wants to more than double that usage density to 150 for every 10,000 workers by 2020. To do so would require massive amounts of government help.

‘Made In China 2025’: a peek at the robot revolution under way in the hub of the ‘world’s factory’

A skilled factory worker earns about 36,000 yuan a year in wages and benefits in China’s poorer provinces and second-tier cities, away from the coast. Total remuneration can exceed 60,000 yuan in cities nearer the coast and along the eastern seaboard, like in the Pearl River and Yangtze River deltas. A 200,000 yuan robot that can do the job of three humans can recoup its capital cost in 22 months in central provinces, or in a little over a year in coastal cities. In the face of rising prices pressures for labour, energy and rents, such a cost advantage would be attractive to many manufacturers.

China’s total spending on research and development is estimated to have risen 14 per cent last year to 1.76 trillion yuan, according to the Ministry of Science and Technology.

“Among the thousands of so-called Chinese robotics companies – including robot and automated equipment producers as well as those who only provide automation integration solutions – only about 100 firms could mass produce the main body and core components of high-end and middle-market industrial robots, such as servo motors, robot controllers and speed reducers,” he said. “We lack original research and have already tried to catch up by copying advanced technology. But neither technology-related mergers and acquisitions nor copycat [production] can close the gap in the short term.”

He said many domestic robotics manufacturers were still developing the traditional core parts of robots, like servo motors, robot controllers and speed reducers. But these parts would not be the core components of the future, he said.

Don’t take asset allocation advice from billionaires

One of the best ways to stay out of trouble with your finances is to focus all of your energy on your own circumstances and ignore what other people say or do with their money. Not only will it likely save you from making a grievous financial error but it will also make you happier. Constantly comparing yourself or your portfolio to others can be exhausting.

This is how to raise emotionally intelligent kids: 5 secrets from research

Don’t argue the facts. Feelings aren’t logical. You wouldn’t expect the new employee to know how to find the bathroom and you shouldn’t expect a child to know how to handle emotions that, frankly, you still have problems dealing with after decades of experience. Don’t immediately try to fix things. You need to establish you’re a safe ally before you can solve anything. Understanding must precede advice, and, just as with adults, they decide when you understand.

The critical distinction Gottman realized is that it’s important to accept all feelings — but not all behavior. If you skip immediately to problem-solving, the kid never learns the skill of how to deal with those uncomfortable emotions. You want to use “empathetic listening.” Get them to talk. Help them clarify. Validate their feelings (but, again, not necessarily their behavior). They need to feel you really understand and are on their side.

Providing words in this way can help children transform an amorphous, scary, uncomfortable feeling into something definable, something that has boundaries and is a normal part of everyday life. Anger, sadness, and fear become experiences everybody has and everybody can handle. Labeling emotions goes hand in hand with empathy. A parent sees his child in tears and says, “You feel very sad, don’t you?” Now, not only is the child understood, he has a word to describe this intense feeling. Studies indicate that the act of labeling emotions can have a soothing effect on the nervous system, helping children to recover more quickly from upsetting incidents.

As we have discussed earlier, the implications of teaching a child to self-soothe are enormous. Kids who can calm themselves from an early age show several signs of emotional intelligence: They are more likely to concentrate better, have better peer relationships, higher academic achievement, and good health. My advice to parents, then, is to help your kids find words to describe what they are feeling. This doesn’t mean telling kids how they ought to feel. It simply means helping them develop a vocabulary with which to express their emotions.

In an ideal world, we’d always have time to sit and talk with our kids as feelings come up. But for most parents, that’s not always an option. It’s important, therefore, to designate a time—preferably at the same period each day—when you can talk to your child without time pressures or interruptions.

Curated Insights 2018.09.07

A market shakeup is pushing Alphabet and Facebook out of the tech sector

One of the biggest impacts will be on tech—a sector that has grown so big, at 26.5% of the S&P 500, it has produced more than half of the market’s gain this year, according to Bespoke Investment Group. Tech is being cut down to size, though, as several of its biggest stocks head over to the new communication sector. The losses will chop about 23% off the tech sector’s market value. It will be more oriented to chip makers, hardware, and software.

Thankfully, S&P and MSCI don’t make such changes often. The GICS taxonomy goes back to 1999. It has grown to 11 sectors, the latest being real estate, carved out of financials in 2016. But that was minor compared with the new musical chairs—affecting more than 1,100 companies globally.

Redrawing the GICS boundaries was necessary to reflect the changing tech and media landscapes. When the old sector lines were drawn, people made calls with flip phones, used MySpace for social media, and paid AT&T for cellular service and landlines. But mergers and tech developments have jumbled things up: Netflix is threatening Hollywood, Comcast has turned into a media giant, and Alphabet is in everyone’s business. Sure, technology remains the heart of these businesses. But so what? Facebook and Alphabet aren’t like Apple and Microsoft, which develop hardware and software, says Blitzer. It makes more sense to group Facebook and Alphabet with firms making money off advertising, content delivery, and other types of “communications,” he says.

Amazon sets its sights on the $88 billion online ad market

In turn, brands are increasingly recognizing Amazon’s vast customer reach, particularly to its more than 100 million Prime subscribers. In a study conducted last summer by Catalyst, the search and social media marketing company, only 15 percent of the 250 brands marketers polled felt they were making the most out of advertising on Amazon’s platform, and 63 percent of the companies already advertising there said they planned to increase their budget in the coming year.

In India, Google races to parry the rise of Facebook

Facebook ads, compared with those on Google search or YouTube, tend to transcend language barriers more easily because they rely more on visual elements. Pinpointing younger consumers and rural populations is easier with Facebook and its Instagram app.

Facebook and Google between them took 68 percent of India’s digital ad market last year, according to advertising buyer Magna. Media agency GroupM estimates digital advertising spending will grow 30 percent in India this year.

The tension is building between Spotify and the music industry

The easiest way for Spotify to save money would be to cut labels out of the process entirely. While the company has said time and time again that it doesn’t want to operate a label or own copyrights, it has been taking on functions of a record label. The company has developed tools to help artists plan tours and collect royalties, funded music videos and recording sessions, and held workshops with songwriters.

Record companies know Spotify can’t cut them out completely. They control too much music and offer resources artists need. But Spotify’s growth poses a threat. Successful independent artists, like Chance the Rapper, have created the perception that musicians may not need labels at all. “The music industry hates that Spotify, YouTube and Apple Music reduce the relevance of the traditional music business,’’ Masuch said. “Distribution is controlled by companies that aren’t part of the traditional ecosystem.’’

4 reasons Tesla Mobility is worth a lot less than Alphabet’s Waymo

Jonas estimates that Tesla has a 13% discount rate, versus Waymo’s 10%. “Tesla likely has a higher cost of capital vs. Alphabet/Waymo,” he writes.

Tesla will have to make money on the rides themselves, while big tech companies like Alphabet can also make money off the time spent in the car as well as what it learns from drivers. “Tesla’s business model offers potentially less room for adjacent revenue monetization,” he explains.

Tesla has offered very little information on what Tesla Mobility’s business model will look like, while Waymo and General Motors (GM) have “become increasingly conspicuous with their efforts to grow the business with specific targets for commercialization and deployment,” he explains.

More than half the value assigned to Waymo by Morgan Stanley’s internet team came from logistics, by which they apparently mean moving people and stuff around. That’s an opportunity Jonas doesn’t include for Tesla. “Logistics accounts for $89bn of the total $175bn value in our internet team’s Waymo DCF,” he writes. “We have not specifically ascribed any logistics based revenue to Tesla Mobility at this time.”

Lessons from Chance the Rapper (Value chains and profit pools)

“There is what’s called a master and a publishing portion of the record. So the master is the recording of it, so if I sign a record deal or a recording deal, I sign away my masters, which means the label owns the recording of that music. On the publishing side, if I write a record, and I sign away my publishing in a publishing deal, they own the composition of work… so the idea of it, you know what I’m saying? So if I play a song on piano that you wrote, I have to pay you publishing money, because it comes from that idea. Or if I sing a line from that song, it’s from the publishing portion. If I sample the action record, if I take a piece of the actual recorded music, that’s from the master. None of that shit makes any sense right, that shit didn’t make any sense to you? ‘Cause that shit is goofy as hell.”

Peak Valley?

Silicon Valley has always had one important advantage over other regions when it comes to the tech sector. There is a much higher density of talent, capital, employment opportunity, and basic research in Silicon Valley versus other locations. When I say density, I mean physical density. If you walked a mile, how many tech companies would you pass along the way? That metric in Silicon Valley has always been higher than elsewhere and still is. So even though the return on capital (human and invested) has significant headwinds in today’s Silicon Valley, it is still a lot easier to deploy that capital there. And I think that will continue to be the case for a long time to come.

Quantum computing: the power to think outside the box

That could make it easier to design new materials, or find better ways for handling existing processes. Microsoft, for instance, predicts that it could lead to a more efficient way of capturing nitrogen from the atmosphere for use in fertilisers — a process known as nitrogen fixation, which currently eats up huge quantities of power.

When something is familiar and common, you set a low reference point. So most bad outcomes are placed in the “Oh well, you got unlucky. Next time you’ll do better,” category, while all wins are placed in the, “Easy money!” category. Index funds live here. Even in a bad year, no one thinks you’re crazy.
When something is new or unfamiliar, you have no idea where the reference point is. So you’re cautious with it, putting most bad outcomes in the “I told you so” category and most wins in the “You probably got luck” category. When something is new and unfamiliar, the high reference point means not only will bad outcomes will be punished, but some good outcomes aren’t good enough to beat “par.” So even high-probability bets are avoided.

Newcomers

We were doing something different. And anytime you’re doing something different the only people who can participate are people who don’t have career risk. Anytime you introduce the factor of career risk into the decision-making process, you have to do the norm. It’s a divergent system: If you invest in a divergent system and it goes wrong, you have massive downside for your career personally, separate from the organization. It could be the right decision – it was probabilistically a great bet. But if it goes wrong and it looks different, you could get fired. And if it goes right, you still may not have enough upside career-wise.

Deciding whether to do something isn’t just about whether or not it’ll work. It’s not even about the probability of whether it might work. It’s whether it might work within the context of a reference point – some gauge of what others consider “normal” to measure performance against. Thinking probabilistically is hard, but people do it. And when judging the outcomes of decisions, a win isn’t just a win; it’s “You won, but that was an easy bet and you should have won.” Or, “You won, but that was a gamble and you got lucky.”

Curated Insights 2018.08.24

Tech firms account for 60% of profit margin growth in the past 20 years

The information technology sector – which contains the bulk of superstar firms – accounts for 60% of the increase in S&P 500 profit margins over the past 20 years, while the “adjacent tech” sector, comprising the health care (including biotech firms) and consumer discretionary sectors (incl. firms such as Booking Holdings and Expedia) accounts for 40% of the rise. It also means the bulk of the market – i.e., all firms ex. tech, healthcare and consumer discretionary – have seen no margin growth at all since 1998.

Dear Elon: An open letter against taking Tesla private

First, as a private company, Tesla will be unable to capitalize on its competitive advantages as rapidly and dramatically as it would as a public company, an important consideration given the network effects and natural geographic monopolies to which autonomous taxi and truck networks will submit. Second, in the private market, Tesla would lose the free publicity associated with your role as the CEO of the public company not only with the bestselling mid-sized premium sedan in the US, but also arguably in the best position to launch a completely autonomous taxi network nationwide in the next few years. Just ask Michael Dell: he wants to lead a public company once again for a reason. Third, you will deprive most of your individual investors of a security to bet on you and your strategy, ceding that opportunity to high net worth and institutional investors. Finally, if you do not take Tesla private, you will be surprised and gratified at investor reaction once they realize and understand the scope and ramifications of your long-term vision and strategies.

Thoughts on Xiaomi’s eighth anniversary and inaugural month as a public company

As of March 2018, Xiaomi already had 38 apps with more than 10 million monthly active users, and 18 apps with more than 50 million monthly active users, including the Mi App Store, Mi Browser, Mi Music, and Mi Video apps. Rather than paying search engines to acquire users, Xiaomi is essentially getting paid for acquiring users through selling its smartphones. This allows Xiaomi to have a negative CAC (customer acquisition cost) for its Internet services.

Another under-appreciated pillar of Xiaomi’s growth is its “ecosystem strategy.” Xiaomi strategically invests in many startups as well as the many Internet services providers they work with, both in China and outside of China. Companies in the Xiaomi ecosystem include SmartMi (air purifiers), Zimi (power banks), Huami (Mi bands), Chun Mi (rice cookers), and 80-plus more. Thanks to these prolific investments, you can find a wide variety of products in any Xiaomi store, from scooters to ukeleles (see below). As a result, every time consumers visit a Xiaomi store, they can find something new, and the frequency of store visits is a lot higher than typical smartphone brands, even Apple.

Ensure the price of the hardware is as low as possible so the company can grow market share and users. Sell the phones online, direct-to-consumer, bypass the middlemen, and past the enormous cost savings to consumers. Overtime, the company will monetize on Internet services.

When Yahoo! Invested in Alibaba (another GGV portfolio company) in 2005, the world had 1 billion Internet users. Now, the world has 3.5 billion Internet users. Over the last 13 years, Alibaba’s valuation increased 100 times from $5 billion to $500 billion. The fact that China was the fastest growing market for Internet users during this period, coupled with Alibaba’s amazing ability to execute, turned the company into a growth miracle. In the next 12-13 years, the world will most likely grow to 5 billion Internet users. The world’s next 1 billion Internet users that will come online in the next decade – via affordable but high-quality smartphones – are outside of the US. They are in the 74 countries that Xiaomi is already in today. Going forward, Xiaomi is very well-positioned to take advantage of the next phase of growth through selling hardware, software, and bundled Internet services, as well as by investing in partner companies in those countries.


Does Tencent Music deserve a Spotify-like valuation?

Tencent Music this year could generate revenue less than half of Spotify’s projected $6 billion. Tencent Music is profitable, which is rare in music-streaming. The firm pulled in roughly two billion yuan ($290 million) in net income last year. Spotify, in contrast, reported a net loss of about $1.4 billion last year, although nearly $1 billion of that was due to a one-time financing charge.

In terms of users, Tencent Music is way bigger than Spotify. Tencent Music operates streaming service QQ Music as well as karaoke and live-streaming music apps Kugou and Kuwo. The three services had a combined 700 million monthly users in China as of September 2017, according to Tencent Music. Tencent Music operates a fourth service, the karaoke app WeSing, which at the end of last year had more than 460 million registered users. By comparison, Spotify had 180 million monthly users and 83 million paid subscribers as of June, the company has said. But Spotify’s ratio of paid versus free users is higher than at Tencent Music, where only a fraction of its Chinese users pay for music.

The secret of Tencent Music’s profitability is virtual goods and cheap music rights. Most of its revenue comes from non-subscription services including karaoke and live-streaming services, where users can pay to send virtual gifts to performers.

Swelling clout of US corporate giants is depressing pay, analysts say

As the economic weight of a small number of highly profitable and innovative “superstar” companies has increased, workers’ slice of the pie has fallen in their industries. This may have contributed to a broader fall in labour’s share of income that has been particularly noticeable in the US since the beginning of the 2000s. At the same time, corporate profitability has surged to record highs. 

Goldman Sachs analysts say rising product and labour market concentration has imposed a drag of 0.25 percentage points on annual wage growth since the early 2000s. They also stress, however, that America’s dreary productivity growth is a bigger problem.

ARK Disrupt Issue 138: GPUs, crypto, fintech, mobility, and disease

Turing will be able to perform graphics, deep learning, and ray tracing operations simultaneously, a first for any processor. The Turing GPU can perform 10 billion operations per second, enabling ray tracing in real time. In addition, it is capable of 125 trillion deep learning operations and 16 trillion graphics operations per second. Nvidia and other chip companies rarely dedicate hardware to a specific algorithm in the absence of a large market opportunity. Nvidia posits that the $2,000 Turing ray tracing GPU will target 50 million artists and designers globally. A 10% hit rate would create a $10 billion market, nearly matching Nvidia’s annual revenue today.

Because 98% of all genetic diseases are polygenic, that is involving more than one gene, the clinical utility of whole genome sequencing (WGS) is taking on new importance. To date, roughly two million whole human genomes have been sequenced. If DNA sequencing costs continue to drop by 40% per year, the number of whole human genomes sequenced should increase at 150% rate per year. As a result, genome-wide association studies should power poly-epigenetic models of disease and result in molecular diagnostic tests which introduce more science into health care decision-making.

Why battling bugs is a booming business, and may be getting bigger

Preventing pest infestations—or mitigating them after the fact—is particularly important for restaurants, hotels, and hospitals. Not only can regulators impose heavy fines or shut down businesses that violate health ordinances, customers who encounter a bug-infested business may shame them on social media. “In the age of customer review apps such as Yelp, businesses are well-aware that a customer report or, worse, photo of a pest infestation can be shared around the internet within minutes and potentially damage their brand,” says Zhu. With reputations at stake, businesses in the food and beverage, hospitality, and health care sectors are especially inclined to hire a pest control company promptly when faced with an infestation. In fact, many commercial customers schedule routine treatments to prevent potential infestations, providing pest control companies with a recurring revenue stream.

The companies best positioned to thrive in this environment are those with access to sufficient capital to acquire or open new locations. Operating an extensive branch network confers a number of competitive advantages, including the opportunity to generate greater brand recognition through cost-effective advertising and the ability to operate with lower average costs due to economies of scale. In recent years, consolidation has been intense in North America, which is still home to about half the world’s pest control companies. In fact, four of the 100 largest pest control companies in the US were acquired in May 2018 alone, two of them by US-based Terminix, and one each by European firms Rentokil and Anticimex.

Despite modern pesticides and the efforts of tens of thousands of companies, pest control remains a Sisyphean task. “It’s easy to kill bugs, but it’s much harder to keep them from coming back,” Zhu says. For the foreseeable future, the bedbugs will continue to bite—and demand for professional pest control services should continue to grow.

Litigation finance offers investors attractive yields

Funds that invest in litigation are on the rise. In the past 18 months some 30 have launched; over $2bn has been raised. Last year Burford Capital, an industry heavyweight, put $1.3bn into cases—more than triple the amount it deployed in 2016. Lee Drucker of Lake Whillans, a firm that funds lawsuits, says he gets calls weekly from institutional investors seeking an asset uncorrelated with the rest of the market—payouts from lawsuits bear no relation to interest-rate rises or stockmarket swings.

Returns are usually a multiple of the investment or a percentage of the settlement, or some combination of the two. Funders of a winning suit can expect to double, triple or quadruple their money. Cases that are up for appeal, where the timespan is short—usually 18-24 months—and the chance of a loss slimmer, offer lower returns. New cases that are expected to take years offer higher potential payouts.

As funders compete for high-quality investments, opportunities in new markets arise. Bentham IMF, a litigation funder based in New York, has joined Kobre & Kim, a law firm, to set up a $30m fund for Israeli startups to pursue claims against multinationals—for example, over trade-secret violations. A burgeoning secondary market is likely to develop further, allowing investors to cash out before long-running suits are closed. Burford recently sold its stake in an arbitration case concerning two Argentine airlines for a return of 736%. Such mouth-watering profits should keep luring capital into the courtroom.

Network-based businesses will disrupt all sectors of the economy

Networks are even more powerful because their foundations are even stronger. Large corporations leveraged mass production, mass distribution, and economies of scale. Networks leverage mass computation, mass connectivity, and network effects. Because computation and connectivity improve at exponential rates, the owner of a network has insurmountable advantages over the owner of a traditional corporation.

Corporations believe that bits enhance atoms. Networks recognize that bits are the new capital and atoms are the new labor.

Dragon quest

China now has over 100 cities with populations topping one million, compared to the entire continent of Europe which has a paltry 34. Ever heard of Zhengzhou? Don’t worry if not, it’s a tier two city in Henan province that only just makes it into China’s top 20, yet it has a bigger population than the whole of Denmark. Expressed another way, China already has more millennials than the US has people.

China is of course the world’s second biggest economy and poised one day to reach the top, but consider this: if its per capita wealth were to catch up with that of Hong Kong’s, then its resulting GDP would not just surpass the United States’ today, but triple it. This is more simply reflected in the fact that each year approximately 35 million Chinese enter the middle and affluent classes. No wonder multinationals around the world are flinging everything they have at the country.


China reaches 800 million internet users

The U.S is estimated to have around 300 million internet users. The number of internet users in China is now more than the combined populations of Japan, Russia, Mexico and the U.S., as Bloomberg noted. The new statistic takes internet adoption in the country to 57.7 percent, with 788 million people reportedly mobile internet users. That’s a staggering 98 percent and it underlines just how crucial mobile is in the country.

Jakarta, the fastest-sinking city in the world

It sits on swampy land, the Java Sea lapping against it, and 13 rivers running through it. So it shouldn’t be a surprise that flooding is frequent in Jakarta and, according to experts, it is getting worse. But it’s not just about freak floods, this massive city is literally disappearing into the ground.

“If we look at our models, by 2050 about 95% of North Jakarta will be submerged.”

It’s already happening – North Jakarta has sunk 2.5m in 10 years and is continuing to sink by as much as 25cm a year in some parts, which is more than double the global average for coastal megacities. Jakarta is sinking by an average of 1-15cm a year and almost half the city now sits below sea level. The impact is immediately apparent in North Jakarta.

There is technology to replace groundwater deep at its source but it’s extremely expensive. Tokyo used this method, known as artificial recharge, when it faced severe land subsidence 50 years ago. The government also restricted groundwater extraction and businesses were required to use reclaimed water. Land subsidence subsequently halted. But Jakarta needs alternative water sources for that to work. Heri Andreas, from Bandung Institute of Technology, says it could take up to 10 years to clean up the rivers, dams and lakes to allow water to be piped anywhere or used as a replacement for the aquifers deep underground.

We all have it now

Think about that. It took 7 months for the biggest volcanic explosion in the last 10,000 years, one that affected the global climate and killed twice as many people as any other volcanic explosion in recorded history, to become news. If the same event were to happen today, we could have someone tweeting it within minutes and we would probably have video footage online within the hour. This is possible because of the democratization of information. We all have it now. Historically, having an informational edge was worth something. Being faster or having better access meant making more money. Not anymore.

This is where we are. Only those using advanced quantitative techniques have any chance of exploiting anomalies in the data. The rest of us will need to do something else. We went from a world of privileged access to information to a world where a single tweet can change everything. A world where anyone can break the story, anyone can get the data, and anyone can be a media company. If, as Brendan Mullooly points out, today’s edges are tomorrow’s table stakes, what does that leave the typical investor to do? The answer lies in a maxim from Jim O’Shaughnessy: you must arbitrage human nature.


Buyback derangement syndrome

Investors generally do not spend the money paid out in buybacks on champagne bubble baths or other forms of consumption. Rather, they reinvest it in other stocks and bonds. Buybacks thus facilitate a movement of capital from companies that don’t need it to those that do. That’s how markets are supposed to work.

Yet another claim is that much of the market rise over the last few years has been from buybacks. The numbers don’t bear this out. The direction is plausible, as researchers have found that share prices do tend to increase—by around 1%—when buybacks are announced. Several explanations have been offered for this positive reaction including that investors see repurchases as a signal that management thinks shares are undervalued, and that investors cheer when management returns cash to shareholders rather than, perhaps, wasting it on “empire building.” These explanations are behavioral effects at the margin.

Indexers will cause the next stock market crash?

My Bloomberg colleague Eric Balchunas points out that during the 2008 credit crunch, the money flows were into index funds and exchange-traded funds; more than $205 billion was put into these funds while active funds experienced $259 billion in outflows. In other words, the 57 percent sell-off of U.S. equity markets during the financial crisis gives us a good idea how passive indexers will behave when markets crash: they become net buyers while active funds become net sellers.

Beyond the 2008 crash, we have seen several market corrections since 2009. As my colleague, Michael Batnick observed, from May to October 2011, the Standard & Poor’s 500 Index fell about 20 percent. Again, between May 2015 and mid-February 2016 the S&P 500 fell about 14 percent. Other indexes, such as the Russell 2000 fell even more. And what happened? Passive index funds continued to gain market share at the expense of actively managed funds.

Which raises the question: Just who was “cruelly exposed” in those corrections? By all lights, it looks like it was the actively managed funds.

Curated Insights 2018.08.17

Not enough people are paying attention to this economic trend

Haskel and Westlake outline four reasons why intangible investment behaves differently:

  • It’s a sunk cost. If your investment doesn’t pan out, you don’t have physical assets like machinery that you can sell off to recoup some of your money.
  • It tends to create spillovers that can be taken advantage of by rival companies. Uber’s biggest strength is its network of drivers, but it’s not uncommon to meet an Uber driver who also picks up rides for Lyft.
  • It’s more scalable than a physical asset. After the initial expense of the first unit, products can be replicated ad infinitum for next to nothing.
  • It’s more likely to have valuable synergies with other intangible assets. Haskel and Westlake use the iPod as an example: it combined Apple’s MP3 protocol, miniaturized hard disk design, design skills, and licensing agreements with record labels.

For example, the tools many countries use to measure intangible assets are behind the times, so they’re getting an incomplete picture of the economy. The U.S. didn’t include software in GDP calculations until 1999. Even today, GDP doesn’t count investment in things like market research, branding, and training—intangible assets that companies are spending huge amounts of money on.


How Box conquered the enterprise and became a $1.7 billion company in a decade

However, what most people failed to understand—and continue to misunderstand to this day—is that Dropbox was never launched as a competitor to Box. The use cases were completely different. Box.net and Dropbox may have shared some similar underlying technologies (and an uncomfortably similar name), but the focus of Dropbox was cloud-based file management for the consumer market. Box was focused on file sharing. By the time Dropbox launched in 2007, Box.net had already largely abandoned the consumer market in favor of the enterprise. There were other key differences between the two products, such as the necessity of installing a dedicated Dropbox directory on a user’s local machine versus Box.net’s entirely cloud-based interface. Additionally, the two companies’ target markets and business models couldn’t have been more different.

Levie knew SharePoint was Box’s biggest competitor, so he did what any inventive, irreverent entrepreneur would do—he took out a billboard advertisement on a stretch of highway on Route 101 between San Francisco and Silicon Valley. The ad promised SharePoint users that Box would pay for three months of SharePoint access if they didn’t prefer Box. In February 2009, Box went one step further in its media assault on Microsoft by erecting another billboard, this one highlighting the many aspects of SharePoint that were most unpopular among its user base.

While the enterprise market represented a unique chance for Box to pivot away from the increasingly competitive consumer market, essentially shifting the focus of the entire company was no small undertaking. Until that point, Box had used a freemium business model. This worked fine for the consumer market, but it was completely unsuitable for the enterprise. This meant Box would not only have to radically redesign its product from the ground up but also restructure its entire business model.

By acquiring Increo, Box immediately gained access to Increo’s innovative document collaboration tools. This was crucial. It wasn’t enough for Box to offer cloud-based storage or integrations with Salesforce and Office. It had to offer additional value as competing tools vied for dominance.

The consumerization of enterprise IT driven by Box and other forward-thinking companies wasn’t merely an attempt to cultivate a unique value proposition or drive adoption. It reflected much broader shifts in computing in general. The advent of Web 2.0 apps created a new design paradigm that placed emphasis on ease of use and accessibility across multiple devices over complex file management tools. Smartphones fundamentally changed the way we think of computing. For an enterprise software company like Box to be at the forefront of trends in usability was impressive.

OneCloud was an excellent example of how consumer-focused design informed Box’s broader strategy. The company had built a platform for developers in 2011 known as the Box Innovation Network, which functioned similarly to an app marketplace. OneCloud was an extension of this idea, only it was intended exclusively for mobile devices. This would later become a predictable cycle in Box’s development. New features were added to the product to meet emerging needs, and those features were presented to users in ways that directly mirrored those of consumer apps and sites.

What’s more important, however, is how well Box converted its free users to paid subscribers. Consumer apps like Evernote convert free users to paid plans at a rate of approximately 3%. Box was converting free users to paid plans at a rate closer to 8%, including major corporate customers such as Bank of New York and ambient advertising powerhouse Clear Channel. As a result, Box achieved revenues of more than $11M in 2011.

Because most of Box’s sales calls came from companies that had already been using the product, Box’s sales teams were typically able to close 60% of those deals within two weeks—an impressive figure, especially considering the often months-long sales cycles typically associated with the enterprise market.

Box has done an excellent job of not only carving out its own niche in an increasingly competitive space but also by applying design and UX principles of consumer-focused SaaS products to redefine how enterprise software looks, feels, and works. With its keen focus on usability, ease, and simplicity, Box has become a leading force in the consumerization of the enterprise and has shaped how other enterprise software companies approach their products.

Ad tech firm poised to surge 50%

Bid factoring is essentially a linear equation that enables marketers to apply multipliers to different targeting parameters. This approach makes it easier to value each user individually and dynamically, allowing marketers to more easily reach their target users. Bid factoring saved time for marketers through automation and removed the need to store tons of line item permutations, therefore lowering data storage costs.

When Green started The Trade Desk, his goal was to “build a company for the next 100 years.” He did not want to follow the same mistakes that other companies in the space made such as having a conflict of interest by being on both the buy and sell side. Green decided to build a demand side platform because he believed the demand side of the advertising transaction will always have the advantage. In advertising it will always be a buyer’s market because it is easy to add supply by having an extra impression on a web page or additional 30-second spot to a commercial break to meet increased demand. This basic economic reality means advertising supply is more elastic than demand and will forever put the buy side in the power position.

The Trade Desk would also be transparent and not charge unsustainable take rates. Green believed once the digital advertising industry matures, total transaction costs to purchase a digital ad would be $0.20-$0.30 for every $1.00 spent, with roughly $0.15-$0.20 going to the DSP and $0.05-$0.10 being split between the SSP and the ad exchange. The Trade Desk could have charged much higher take rates but decided to charge customers what it believed would be the fair end-state price for their services. While take rates could become lower as competition potentially increases, similar to what happened with discount stock brokerages, barriers to entry and the DSP’s ability to provide increasing value to advertisers overtime should preserve prices.

As the ad market has grown, the number of auctions has increased exponentially. In order for a DSP to win an auction, it now takes many more looks. For each ad campaign, costs have increased while revenues remained fairly flat, increasing operating leverage. DSPs that have half the ad spend as The Trade Desk will struggle because they will incur the same amount of expense per ad campaign but monetize less, making it much more difficult to be profitable if you are a smaller player and don’t have the scale.

Every day The Trade Desk’s customers log into their platform to use the data and analysis to value ad inventory and run marketing campaigns. Advertisers provide their customer data and publishers provide their user data, which The Trade Desk uses to help advertisers value media for their specific needs. As The Trade Desk accumulates more data over time, its insight and analysis add more value to its customers, creating a self-reinforcing virtuous cycle.


Nvidia’s new Turing architecture is all about real-time ray tracing and AI

Nvidia describes the new Turing architecture as “the greatest leap since the invention of the CUDA GPU in 2006.”

“Hybrid rendering will change the industry, opening up amazing possibilities that enhance our lives with more beautiful designs, richer entertainment and more interactive experiences,” said Nvidia CEO Jensen Huang. “The arrival of real-time ray tracing is the Holy Grail of our industry.”

The new RT cores can accelerate ray tracing by up to 25 times compared to Nvidia’s Pascal architecture, and Nvidia claims 10 GigaRays a second for the maximum performance.

With NGX, Nvidia today also launched a new platform that aims to bring AI into the graphics pipelines. “NGX technology brings capabilities such as taking a standard camera feed and creating super slow motion like you’d get from a $100,000+ specialized camera,” the company explains, and also notes that filmmakers could use this technology to easily remove wires from photographs or replace missing pixels with the right background.


Tesla’s autonomous opportunity is severely underappreciated

We estimate that net revenue for autonomous platform providers – those companies that own the software technology stack for autonomous ride-hailing services – should exceed $2 trillion by 2030, roughly equal to our expectations for automaker revenue at that time. Unlike their auto-manufacturing peers, however, autonomous platform providers should see software-like margins, be less capital-intensive, and enjoy network-effect-driven regional competitive dominance. So, while autonomous platform providers may generate the same revenue as automotive manufacturers, ARK believes these providers will generate six times the operating earnings and consequently will prove to be substantially more valuable. In fact, ARK estimates autonomous platforms will be worth more than the entire $4 trillion global energy sector.

An enhanced Autopilot package with the ability to self-drive costs $5,000 upfront or $6,000 for customers who choose to wait and buy later. Payment for this feature alone can be thought of as nearly pure profit on every Tesla sold. In addition, once Tesla launches the Tesla Network, its autonomous ride-hailing network, it could collect platform fees, similar to Uber’s model today, from every autonomous ride charged to the consumer. Given a rate of $1 per mile to the end consumer and over 100,000 miles per year per vehicle, Tesla could benefit from $20,000 in high-margin platform fees per car per year. Over a five-year lifetime, a single Model 3 could generate $40,000 in net cash flow. Even investors optimistic about Tesla’s prospects project the Model 3 cash flow at $4,000 and one-time in nature. In effect, each Model 3 sale could generate 10 times more cash flow than investors currently understand.

Google’s targeted ads are coming to a billboard near you

Digital outdoor ad spending is growing at 15 percent annually, and will overtake traditional outdoor outlays by 2020, according to PwC. But Google is the 800-pound gorilla that’s not yet in the room. It would give the company another major edge over Facebook, which doesn’t have the same access to location-based mobile data.


Alibaba tweaks a controversial legal structure

There are three problems with VIEs. First, key-man risk. If the people with nominal title die, divorce or disappear, it is not certain that their heirs and successors can be bound to follow the same contracts. Second, it is not clear if the structure is even legal. China’s courts have set few reliable precedents on VIEs and the official position is one of toleration rather than approval. Third, VIEs allow China’s leading tech firms to be listed abroad, preventing mainlanders from easily owning their shares and participating in their success.

Alibaba’s proposed change is aimed at tackling the first problem, key-man risk. At the moment four of its five VIEs are nominally owned by Jack Ma, the firm’s leader, and Simon Xie, a co-founder and former employee. After the restructuring, the two men will no longer be the dominant counterparties. Instead the VIEs will be owned by two layers of holding companies, which will sign contracts with Alibaba. These holding companies will ultimately be nominally owned by a broader group of Alibaba’s senior Chinese staff. The idea is that if anyone gets run over by a bus, then the scheme will not be disrupted, because nominal control is spread among a wider group of people. The new approach is far from perfect but it is an improvement. If all goes to plan it will be completed by 2019. Other tech firms may feel pressure to follow.

$1b+ market map: The world’s 260 unicorn companies in one infographic
60+ startups disrupting IKEA in one market map

SoftBank’s Son says WeWork is his ‘next Alibaba’

It is rare for Son, who casts a wide net with his startup investments, to commit so much resources to a single company. But he said WeWork is more than just a renter of office space: it is “something completely new that uses technology to build and network communities.”

The use of shared space to forge connections is not unique to WeWork. The company’s edge lies in the steady flow of data it collects on members, which is shared with other locations and can be accessed by users of the WeWork app around the world. The idea is that more data means more innovation — a model that underlies Son’s excitement about the company.

What MoviePass can teach us about the future of subscription businesses

Pricing is so powerful that playing with it requires great skill and precision. MoviePass should have done its price experimentation at the outset and on a local basis. It could have optimized the price points and tested alternative pricing models quietly, instead of jerking millions of customers around. Even a slight tweak — such as moving to a club pricing model like Costco’s — might have solved its cash-flow problems.

These kinds of tweaks could also have enabled the company to consider regional pricing strategies, given that its cost of goods (the full price of movie tickets, which it pays theater operators) varies from $8 in Nebraska to over $15 in New York. This case is also a good reminder that the United States has local profit pools. It is silly to think that a one-size-fits-all national strategy is the right approach for a market as ethnically and economically diverse as the United States.

MoviePass failed to recognize how the behavior of superconsumers, customers who are highly engaged with a category and a brand, differs from that of average consumers — and how, if not anticipated, this difference can create problems for a company’s cost model. It can especially be a problem if the company uses a “buffet” model of fixed price and unlimited quantities, as MoviePass did.

Quantum computers today aren’t very useful. That could change

Quantum computers are, however, far more prone to errors than binary machines. Instead of using electric signals to generate a series of zeros and ones like a conventional computer, quantum computers rely on the real-world, mechanical behavior of photons, which are packets of microwave energy. The machines require a complex, multi-layered refrigeration process that brings quantum chips to a temperature just above absolute zero. By eliminating certain particles and other potential interference, the remaining photons are used to solve computational problems. The true magic of this system is how photons can become entangled and produce different but related results. Scientists only partially understand why it works the way it does.

A quantum chip doesn’t look like much with the naked eye. Through an optical microscope, though, you can see the quantum logic gate that makes everything possible. The team here is working on a process of stringing together 16-qubit chips to execute on the 128-qubit design. Essential to this is a new kind of quantum chip that communicates results in three dimensions instead of the current two, which allows Rigetti to fit the chips together like puzzle pieces and turn them into a single, more powerful computer. “What we’re working on next is something that can be scaled and tiled indefinitely,” Bestwick said.

Why the future belongs to ‘challenge-driven leaders’

The consensus view of Mr. Marchionne, relayed by hundreds of tributes, is that he possessed an unusual blend of vision, technical expertise, analytical rigor, open-mindedness and candor. The remembrances also agreed on something else: he was a bona fide eccentric. “God bless you, Sergio,” Morgan Stanley analyst Adam Jonas told Mr. Marchionne during a January conference call. “We’re never going to see anyone like you again.”

The trajectory of great ideas

“Being right is the enemy of staying right because it leads you to forget the way the world works.” – Jason Zweig. Buddhism has a concept called beginner’s mind, which is an active openness to trying new things and studying new ideas, unburdened by past preconceptions, like a beginner would. Knowing you have a competitive advantage is often the enemy of beginner’s mind, because doing well reduces the incentive to explore other ideas, especially when those ideas conflict with your proven strategy. Which is dangerous. Being locked into a single view is fatal in an economy where reversion to the mean and competition constantly dismantles old strategies.

Survivorship bias on wheels

One last thing: When it was introduced as new in 1984, the 1985 Testarossa listed for $90,000 (but dealers charged huge premiums over list due to “Ferrari fever.”) You can still find Testarossas for that original list price — meaning the net returns over 43 years has been precisely zero — before maintenance, storage and repair costs.

As a comparison, in 1985, the benchmark S&P500 was about 200, and it closed yesterday at 2,821.93. That generated an average annual return of about 8.5%, returning 1,400% price appreciation since then, and, with dividends reinvested, over 3,000% total return (in nominal terms, like the chart above, neither is adjusted for inflation).

Selecting investments after the fact is easy; ask yourself this question: What car do you want to buy as an investment for the next 34 years to be sold in 2052?


Curated Insights 2018.08.10

Climbing the wall of worry: Disruptive innovation could add fuel to this bull market

This explanation of the flattening yield curve seemingly suggests that “this time is different,” but this time is not different in the context of disruptive innovation. During the 50 years ended 1929, the last time that three or more general purpose technology platforms were evolving simultaneously, the yield curve was inverted more than half of the time.1 The disruptive innovations of that time – the internal combustion engine, telephone, and electricity – stimulated rapid real growth at low rates of inflation. Through booms and busts in an era without the Federal Reserve and with minimal government intervention, US real GDP growth averaged 3.7% and inflation 1.1%, while short rates averaged roughly 4.8% and long rates roughly 3.8%.2 The yield curve was inverted. So, this time is not different, but investors do have to extend their time horizons to understand the impact of profound technological breakthroughs on the economy.

They all fall down

$1 invested in Disney in 1970 is now worth $197. $1 invested in the S&P 500 is worth $125, for comparison. The 19,500% return in Disney had plenty of bumps in the road. The stock lost 10% on a single day 11 times, including a 29% loss on October 19, 1987. Disney gained 11.5% for 48 years. But of course, there is a huge difference between 11.5% for 48 years and 11.5% every year for 48 years.

These returns were earned only by those able to withstand a massive amount of pain. Disney experienced 13 separate bear markets over the last 48 years, including an 86% crash during the 1973-74 bear market. The S&P 500 experienced just four over the same time.

Nobody could have known in real-time what the future held for this company, or whether its best days were behind it, but these would have been very real questions during every decline along the way. Disney hit an all-time high in January 1973, and wouldn’t see those levels again until 1986. It made a high in April 2000 and then didn’t get back there until February 2011.

Spotify’s playlist for global domination

This has been Ek’s plan all along: to get the music industry so dependent on Spotify that even the doubters can’t live without it. “We need this company to be robust,” Borchetta says of Spotify. “It’s important to the ecosystem of the whole business that they are successful.”

The Spotify team realized that they needed a mobile product that could be accessed by everyone, not just paying subscribers. And they needed it quickly. They had already been negotiating with labels about licensing rights for a free mobile version, but the deals weren’t done. Nor were engineers ready with a product. The sudden crisis sparked company-wide urgency. When the licensing deals were finally signed, in December 2013, “we literally just pushed the button on the same day to get it out there,” says Soderstrom of the new app. There was no time for rigorous testing. “If it had taken another six months, it might have been too late to recover.” The strategy worked: At the end of 2013, Spotify had 36 million users and 8 million paying subscribers; by January 2015, it announced 60 million and 15 million, respectively. Forty-two percent of time spent on Spotify was now via phones and 10% on tablets, the first time mobile listening surpassed desktop.

The new free tier has been a top priority for more than a year. It reflects how important it is for the company to keep acquiring new customers (and turn them into paying ones), but it also has its own commercial element. “Billions of people listen to radio, and most of that today isn’t monetized very efficiently,” Ek says as we chat on the couch in his Stockholm office. “Commercial radio, that’s conservatively a $50 billion industry globally. The U.S. radio industry is $17 billion, close to the size of the whole global recorded music industry, which is $23 billion. And what do people listen to? Primarily music.” Ninety percent of Spotify’s current revenues come from subscriptions, but if the free product expands, so can Spotify’s radiolike advertising business. As Ek notes, with typical understatement, “We still have a lot of room to grow.”

Ek didn’t see the value at first—”Oh, this is going to be a disaster,” he recalls thinking about one playlist innovation—but playlisting did more than increase Spotify’s consumer appeal. It turned Spotify into a user’s personal DJ. The company told investors in its prospectus, filed last February, that “we now program approximately 31% of all listening on Spotify” via playlists, which has created powerful new brands within Spotify such as Rap Caviar and ¡Viva Latino!. There are now Rap Caviar and ¡Viva Latino! concert series, pointing the way toward an even broader role for the company within the music business, where it’s generating live event and merchandising revenue without having to pay record labels.

He’s succeeded in the [music] business because he’s extremely patient and not high on his own supply, meaning he has not been susceptible to the vices that ruin people in entertainment. Ek’s personality has opened the door to a different kind of relationship with musical artists from what prevailed in the era of cocaine-snorting, thieving record execs. So far, Ek has been focused on changing how creators get paid; in streaming, an artist is compensated every time a song is played, creating lifetime revenue (albeit a fraction of a penny at a time), whereas in the old model they got paid (sometimes) after selling a CD or download. But that’s only the beginning. “Spotify’s first eight to 10 years were focused on consumers,” says R&D chief Soderstrom. “The next eight to 10 will be focused on artists.”

Spotify for Artists is the most visible example of this new directive. The service, which launched in its current form in 2016, allows musicians to access data on who is listening to their work on the platform and to personalize their presence to enhance engagement. Iconic rock band Metallica, which once helped sue Napster out of existence, used this data on tour to customize its setlists based on what local fans listen to most. Smaller artists have used it to identify where to tour, and to activate their superfans. “Whatever your genre is, you can find an audience,” says Spotify chief marketing officer Seth Farbman.

Ek has been talking a lot this year about Spotify’s mission to get 1 million artists to make a living off the platform, but he doesn’t mean there will be 1 million Lady Gagas or Bruno Marses. Financial analysts often compare Spotify to Netflix—a comparison Ek pushes back against—but Ek’s vision of the future looks more like YouTube: a meeting spot for creators and fans, in groups both large and small, and Spotify benefits when transactions happen in this “marketplace.” Ek says: “In that model, it’s almost like you’re managing an economy.”

“The major-label system was built out for the 5,000 biggest artists in the world,” Carter notes. “If we’re going to [enable] a million artists to make a living, that’s going to require an entirely different ecosystem.” In this world, “an artist might be happy making $50,000 a year, supplementing income from other work to help pay their mortgage, raise their kids, by doing what they love. I’m just as committed to that kind of artist. How do we make it so there are a lot more winners,” Carter says, “to redefine what it means to be a winner?”


The definitive timeline of Spotify’s critic-defying journey to rule music

May 2013: Spotify makes its first acquisition: Tunigo, which already helped users find, create and share new music and playlists on Spotify. Turned out to be a good one! It still underpins the company’s editorial playlist strategy to this day.

March 2014: Spotify acquires The Echo Nest, a startup that specializes in using machine learning to make recommendations and predict the type of music users will want to listen to, generating playlists from that data as well as helping advertisers reach those music fans. This also was a great acquisition! It underpins the algorithmically generated playlists such as Discover Weekly.

Is a change goin’ to come?

Last year, according to the IFPI, global revenues for recorded music (as opposed to live performance) grew 8.1 per cent to $17.3bn, driven by digital revenue’s 19.1-per-cent increase to $9.4bn. Of this digital revenue, streaming did the heavy lifting, as the $6.6bn from subscriptions and advertising constituted a 41-per-cent increase from the previous year. In what perhaps will be seen as a watershed moment, digital revenues accounted for the highest proportion of total recorded revenues for the first time ever, at 54 per cent. In nominal terms, music-industry revenues are still 32 per cent below its 1999 peak. Convert the dollars from Prince’s favourite year to today’s, and you’ll find artists, labels, publishers and the like are earning 54 per cent less than they used to.

Despite the launch of advertising channel Vevo, which Mr Morris led, musicians are still getting nickel-and-dimed by Alphabet’s platform and its competitors. Last year, video streaming accounted for a mammoth 55 per cent of all music listened to online, according to the IFPI. In turn, it only contributed 15 per cent of the revenues that Spotify and friends did.

FAANGs are more solo acts than a tech supergroup

The five biggest stocks in the S&P 500 have accounted for an average of 12.3 percent of the index since 1990, the earliest year for which numbers available. By comparison, the index’s allocation to the five FAANGs is 12.8 percent.

There are lots of surprises. First, not all FAANGs are growth stocks, as measured by historical earnings and revenue growth and predicted earnings growth. Apple, for example, scores a negative 0.1 for growth. Google’s growth score is a modest 0.4.

Second, they’re not all wildly expensive, based on stock price relative to book value, earnings, cash flow and other measures. Apple is slightly more expensive than average, with a value score of 0.05. Google and Facebook score a negative 0.45 and 0.39 for value, respectively — not cheap but far from the richest.

Third, some are higher quality than others, as measured by profitability, leverage and stability of operating results, and not in the order investors might think. Apple has a reputation for sky-high profits and reliable revenue, and yet it scores 0.15 for quality. Meanwhile, Netflix spends lavishly on programming and has negative cash flow, and its quality score is 0.63 — second only to Google’s score of 0.68.

Nor is it likely that the FAANGs will ever have much in common because their attributes are constantly changing. Apple, for example, was a much different bet five years ago, scoring high for growth and low for quality and momentum. The probability that all five stocks will be similarly situated at any given time is exceedingly low.

Elon Musk has some fun with Tesla

Now Tesla does have debt: It has three different convertible bonds, but it also has $1.8 billion of straight bonds that it issued last August to quite receptive investors. Those bonds have sold off since issuance and are rated Caa1 at Moody’s, which, again, are not auspicious signs for adding like 20 times as much debt. And my general assumption about Tesla bonds is that they operate on sort of a Netflix theory, in which bondholders get their security not from the company’s cash flows but from the knowledge that there’s a whole lot of equity value beneath them. If you issue billions more dollars of bonds to get rid of that equity, then why would anyone buy the bonds? FT Alphaville notes that the pressure of public markets, for Tesla, “surely pales in comparison to the pressure to maintain bank/ bond covenants and make interest payments.” “Even if say $40 billion could be financed in the high yield market,” note analysts at Barclays, “the annual interest bill would consume $2.7 billion in cash.”

The eight best predictors of the stock market

• The Philosophical Economics blog’s indicator is based on the percentage of household financial assets—stocks, bonds and cash—that is allocated to stocks. This proportion tends to be highest at market tops and lowest at market bottoms. According to data collected by Ned Davis Research from the Federal Reserve, this percentage currently looks to be at 56.3%, more than 10 percentage points higher than its historical average of 45.3%. At the top of the bull market in 2007, it stood at 56.8%. This metric has an R-square of 0.61.

• The Q ratio, with an R-squared of 46%. This ratio—which is calculated by dividing market value by the replacement cost of assets—was the outgrowth of research conducted by the late James Tobin, the 1981 Nobel laureate in economics.

• The price/sales ratio, with an R-squared of 44%, is calculated by dividing the S&P 500’s price by total per-share sales of its 500 component companies.

• The Buffett indicator was the next-highest, with an R-squared of 39%. This indicator, which is the ratio of the total value of equities in the U.S. to gross domestic product, is so named because Berkshire Hathaway Inc.’s Warren Buffett suggested in 2001 that is it “probably the best single measure of where valuations stand at any given moment.”

• CAPE, the cyclically adjusted price/earnings ratio, came next in the ranking, with an R-squared of 35%. This is also known as the Shiller P/E, after Robert Shiller, the Yale finance professor and 2012 Nobel laureate in economics, who made it famous in his 1990s book “Irrational Exuberance.” The CAPE is similar to the traditional P/E except the denominator is based on 10-year average inflation-adjusted earnings instead of focusing on trailing one-year earnings.

• Dividend yield, the percentage that dividends represent of the S&P 500 index, sports an R-squared of 26%.

• Traditional price/earnings ratio has an R-squared of 24%.

• Price/book ratio—calculated by dividing the S&P 500’s price by total per-share book value of its 500 component companies—has an R-squared of 21%.

It’s not terribly hard to find a measure that shows an overvalued market. Then, use a long time period to show the market has performed below average during your defined overvalued period. That’s easy. The difficulty is timing the market. For example, during the housing bubble, what I found interesting was how many people were right, that housing was indeed in a bubble. Lots of people realized it. Also, lots of people thought it would burst in 2004. Then in 2005. Then in 2006. They were right, but their timing was way off. Even if you know the market is overpriced, that doesn’t tell you much about how to invest today.


Hot chart: The A-D Line is roaring higher

You have two options as an investor: you could listen to the media or you could listen to the market. They’ve been pushing the notion lately that only a handful of Tech stocks are leading the way for the market, suggesting a weakening breadth environment. In the real world, however, we are participating in a united rally among Tech stocks as a group.

In fact, the Equally-Weighted Technology Index went out just 0.4% away from another all-time weekly closing high, just shy of it’s record high set last month. This is the Equally-Weighted Index, not the Cap-weighted index that the bears are suggesting is pointing to weakening breadth because the big names are such a large portion. If it was true that only a handful of names are going up and market breadth is deteriorating, the Equally-weighted index, which takes the extra-large market capitalization stocks completely out of the equation, would not be behaving this way.

So when someone tells you that breadth is weakening and only a handful of names are driving the market’s gains, you know they haven’t done the work themselves. They’re just regurgitating what they read or overhead somewhere, which happens a lot.

Natural maniacs

A problem happens when you think someone is brilliantly different but not well-behaved, when in fact they’re not well-behaved because they’re brilliantly different. That’s not an excuse to be a jerk, or worse, because you’re smart. But no one should be shocked when people who think about the world in unique ways you like also think about the world in unique ways you don’t like.

There is a thin line between bold and reckless, and you only know which is which with hindsight. And the reason there’s a difference between getting rich and staying rich is because the same traits needed to become rich, like swinging for the fences and optimism, are different from the traits needed to stay rich, like room for error and paranoia. Same thing with personalities and management styles.

“You gotta challenge all assumptions. If you don’t, what is doctrine on day one becomes dogma forever after,” John Boyd once said.

These maxims are always true

In 1962, Warren Buffett began buying stock in Berkshire Hathaway after noticing a pattern in the price direction of its stock whenever the company closed a mill. Eventually, Buffett acknowledged that the textile business was waning and the company’s financial situation was not going to improve. In 1964, Stanton made an oral tender offer of $11​1⁄2 per share for the company to buy back Buffett’s shares. Buffett agreed to the deal. A few weeks later, Warren Buffett received the tender offer in writing, but the tender offer was for only $11​3⁄8. Buffett later admitted that this lower, undercutting offer made him angry.[12] Instead of selling at the slightly lower price, Buffett decided to buy more of the stock to take control of the company and fire Stanton (which he did). However, this put Buffett in a situation where he was now majority owner of a textile business that was failing.

Being stubborn can cost you money. Buffett has talked about that at length over the years. But what is interesting is Buffett operated Berkshire from 1962 to 1985 and made millions of dollars without doing any publicity. No mass media. No hype. Can you imagine that today?

You know what gets you more customers? Execution. Delighting them. Focusing on them.

Scorched earth: the world battles extreme weather

Lloyds, the London-based insurance market, estimates that as much as $123bn in global gross domestic product in cities could be at risk from the impact of a warming planet, including windstorms and floods.

Meanwhile a 2015 study by the journal Nature found that due to climate change, global incomes were likely to be one-fifth lower in 2100 than they would be with a stable climate. And later this year the UN will issue a landmark report that quantifies the impact of 1.5C of warming, compared with 2C. Leaked copies suggest that the world will pass the 1.5-degree warming target by about 2040.

Curated Insights 2018.07.20

Professor Aswath Damodaran on valuation

The most egregious valuation mistake that I see investment professionals make is mistaking pricing for valuation. Most investment professionals don’t do valuation, they do pricing. What I mean by that is that you price a number to a stock based on what other people are paying for similar stocks. Any time you use a multiple comparable you’re not valuing the company, you’re pricing a company. Ninety percent of the time, when someone says “I’ve valued a company at X”, I always have to stop and ask them, “What do you mean value the company?”. Most of the time when I extract the answer, the answer is that they’ve really priced the company. There’s nothing wrong with pricing. But it’s not valuation. Valuation is about digging through a business, understanding the business, understanding its cash flows, growth, and risk, and then trying to attach a number to a business based on its value as a business. Most people don’t do that. It’s not their job. They price companies. So the biggest mistake in valuation is mistaking pricing for valuation.

The biggest mistake is that VCs don’t value users, they price them. What I mean by that is that if there’s a line of VCs and you go up to a VC and say “I have a million users”, the VC says “Amazing, I’ll pay you $1 Billion”. Most VC’s are still pricing users, with the assumption that all users have value, and that all their data is going to be useful. And I think that’s a dangerous thing. The reason I wrote that paper is to illustrate that users can be valuable, but users can be useless. Moviepass users are useless – there are a lot of them, but I don’t think the marginal Moviepass user adds any value. In fact, I think that they destroy value, because you’re giving them a service for way below cost. Netflix users, are clearly much more valuable as a commodity. I think that we have to differentiate between users, and to do that we have to start asking serious questions about what separates good users from bad users, what separates valuable users from useless users.

Well it’s massively impacted prices. It’s going to mean that there’s going to be a lot more splitting up of the market, like with Uber and Didi in China, and with Uber and Grab’s agreement in Southeast Asia. I think increasingly that the ridesharing companies think that the future lies in each of them carving out markets for themselves where they don’t face competition. Softbank incentivizes that by being invested in all of these companies. Uber, Lyft, and Grab fares will start to go up, and you can thank Softbank for that. They’re the ones in the background impacting how this business is evolving.

It’s a feature not a bug. It’s the nature of young companies and young markets, that you will overvalue them, because you’re looking at clusters of what I call overoptimism. Each cluster, be it the VCs and employees of a company think that they have the answers to the big questions. It’s how markets evolve, and I think that it’s a healthy process. I think that bubbles are not always bad, because they’re what allow us to change and move on. So I think that you can look at bubbles as a bad thing and try to make them go away, but I think that they’re a good feature of markets and allow us to shift from one business to another, from one technology to another.


How internet advertising can grow to $600 billion by 2023

While digital direct response advertising took share from print in the first leg of internet, digital video advertising could take share from TV in the second leg. What would be the impact on budgets of sustained strong growth in internet advertising? If you assume compounded growth rates of 15% for Google, 20% for Facebook, 20% for China, and 12% for everyone else, internet advertising would reach $620 billion by 2023—a figure that’s larger than the entire global advertising market today.

One might say that that is sufficient proof that internet advertising must slow down less it exceeds its total addressable market. But it’s just as dangerous to assume that the size of advertising market is a static number or a fixed percent of global GDP.

Amazon in particular has potential to contribute out-sized growth. Already roughly half of US consumers start their product search on Amazon, bypassing Google’s most important search ads. These shoppers see Amazon’s sponsored product ads which are highly valuable and result in direct measurement of sales. Amazon’s $3 billion ad business is growing quickly and could dampen Google’s search business in the coming years.

Analysts and investors have historically underestimated the size of the internet advertising market and continue to do so based on a static set of assumptions. Yet, more than any other medium, internet advertising has evolved and re-invented itself constantly. The drivers of growth today – mobile, video, and programmatic – barely existed ten years ago. There’s no telling what the next ten years might bring.


Texas to pass Iraq and Iran as world’s No. 3 oil powerhouse

Texas is pumping so much oil that it will surpass OPEC members Iran and Iraq next year, HSBC predicted in a recent report. If it were a country, Texas would be the world’s No. 3 oil producer, behind only Russia and Saudi Arabia, the investment bank said.

The combined output of the Permian and Eagle Ford is expected to rise from just 2.5 million barrels per day in 2014 to 5.6 million barrels per day in 2019, according to HSBC. That means Texas will account for more than half of America’s total oil production. By comparison, Iraq’s daily production is seen at about 4.8 million barrels, while Iran is projected to pump 3 million. Oil supplies from Iran are likely to plunge due to tough sanctions from the United States.


Beijing did a tech reality check on its industrial champions. The results were not amazing

The ministry questioned the companies about 130 “core components and materials”, finding them reliant on imports for 95 per cent of central processing unit and CPU-related chips for their computers and servers. The companies also depended on foreign suppliers for 95 per cent of the advanced manufacturing and testing components on production lines for various sectors, including rockets, large aircraft and even cars, according to the report published on Friday. About a third of the “key materials” covered by the survey were not available in China, the state news agency reported, without detailing the items covered or when the survey was conducted.

Google fined a record $5 billion by the EU for Android antitrust violations

While many had expected Google to face its own “Microsoft moment,” the EU doesn’t seem to be forcing any strong future oversight on Android or asking Google to modify its software to include a ballot for alternative browsers or search engines.

This decision seems to be more about preventing Google from bundling its services to Android, than forcing the company to change Android significantly. Phone manufacturers will still be free to bundle Chrome and Google search apps if they wish, but they won’t be forced to do so, and they’ll be free to offer devices with forked versions of Android.

Amazon’s share of the US e-commerce market is now 49%, or 5% of all retail spend

The figures are also remarkable not because of their size, but because of Amazon’s pace has not slowed down. Its sales are up 29.2 percent versus a year ago, when it commanded 43 percent of all e-commerce retail sales.

The rocket ship for Amazon’s growth at the moment is its Marketplace — the platform where Amazon allows third-party sellers to use its retail and (if they choose) logistics infrastructure to sell and deliver items to Amazon shoppers. It’s currently accounting for 68 percent of all retail sales, working out to nearly $176 billion, versus 32 percent for Amazon’s direct sales, and eMarketer projects that by the end of this year, Marketplace’s share will be more than double that of Amazon’s own sales (it’s already about double).


Amazon set for Prime Day ad revenue bonanza

The need to advertise to cut through the crowd on Prime Day underscores the growing contribution of advertising to Amazon’s business. While its Amazon’s core retail operations generate the majority of its revenue, executives and analysts see advertising as a promising growth area. Its “other” revenue segment, mostly derived from advertising, more than doubled to $2bn in the first quarter and the company flagged the high-margin business as “a strong contributor to profitability”.

Amazon’s slice of the $100bn US digital ad market is still very small: 2.7 per cent, or fifth place, this year compared with Google’s 37.2 per cent and Facebook’s 19.6 per cent, according to eMarketer. Its share is expected to reach 4.5 per cent by 2020, passing Microsoft and Verizon’s Oath to climb to third place, while Google and Facebook are predicted to lose ground.


Mark Mahaney, analyst at RBC Capital Markets, estimates that by 2022 Amazon’s ad revenues will top $25bn and generate more than $8bn in incremental operating profit, making the business “as impactful” to the company as Amazon Web Services, its cloud computing business, is today.

Travel giant Booking invests $500M in Chinese ride-hailing firm Didi Chuxing

Besides Booking.com and Agoda, Booking also operates Kayak, Priceline.com, Rentacars.com and OpenTable, all of which makes it a powerful ally for Didi. That’s particularly important since the Chinese firm is in global expansion mode, having launched services in Mexico, Australia and Taiwan this year. Beyond those three, it acquired local ride-hailing company 99 in Brazil and announced plans to roll into Japan.

Beyond boosting a brand and consumer touchpoints, linking up with travel companies makes sense as ride-hailing goes from simply ride-hailing to become a de facto platform for travel between both longer haul (flights) and short distance (public transport) trips. That explains why Didi has doubled down on dock-less bikes and other transportation modes.

Reuters reports that the unit, which was formed in April and consists of Didi’s car rental, sales, maintenance, sharing and gas services businesses, could be spun out in a deal worth $1.5 billion. The thinking is apparently that Didi’s IPO, which is said to be in the planning stages, would run smoother without these asset-heavy businesses involved.


Spotify’s new tool helps artists and labels reach its playlist editors

The company says that, today, more than 75,000 artists are featured on its editorial playlists every week, plus another 150,000 on its flagship playlist, Discover Weekly.

These days, artists and labels ask for intros to playlists editors, believing that getting to the right person will give them an edge in having their tracks selected for a playlist. The new submissions feature aims to change this process, while also driving artists and labels to use Spotify’s own software for managing profiles and tracking their stats on the service.

We want to make something crystal clear: no one can pay to be added to one of Spotify’s editorial playlists. Our editors pick tracks with listeners in mind. They make these decisions using data about what’s resonating most with their community of listeners.

What are cobots? Understanding the newest wave of smart robot reinventing whole industries

Now, incumbents are playing catch-up against Teradyne’s cobot division Universal Robots (UR), which currently claims around 60% of the cobot marketshare. Big names like ABB, Fanuc, Yaskawa, KUKA, and Robert Bosch, which are all better known for their low-tech robots, have followed UR into the cobot market. (It’s estimated that Fanuc has between 6% and 10% of cobot market share, and Yaskawa’s is even smaller.) And partnerships are springing up: Kawasaki is now working with its Swiss rival ABB to standardize robotic programming.

One big reason could be labor costs rising worldwide. Because of economic growth, wages in industrialized countries have soared. In China, for example, average wages have more than doubled since 2006, and the country is no longer considered a destination for low-cost outsourcing. In fact, China is now so expensive that it’s losing consumer electronics jobs to lower-cost neighbors like Vietnam, pushing its robot demand to grow more than 20% just last year.

Expensive labor is also tilting the scale for more localized manufacturing, and robotics are enabling a new wave of re-shoring (the return of manufacturing to the United States). In a 2015 survey by BCG, 20% of US-based manufacturers surveyed said they were actively shifting production back to the US from China, or were planning to do so over the next two years. The majority said lower automation costs have made the US more competitive.

Subsequently, firms are increasingly turning to cobots, which these days are easily programmable, cheaper than traditional labor, and even inexpensive compared to “dumb” robots. For all of these reasons, cobot makers are selling more units at lower prices than ever before.

How has the average US house size changed?

Over the past 95 years, average [residential home] floor area has increased from 1048 square feet to 2657 square feet, which equates to a 2.5x increase. Furthermore, the average floor area per person has more than quadrupled, from 242 square feet to 1046! Essentially, it’s likely that one person nowadays has the same amount of space as a family back in the 1920s.

Curated Insights 2018.05.06

WeWork’s $20 billion dream: The lavishly funded startup that could disrupt commercial real estate

The company makes money primarily through rent arbitrage: charging its members more than it has to pay its landlords. The principal means of accomplishing this is by packing a lot of people into its locations. In WeWork’s buildings, the average square footage per person hovers around 50 square feet. This compares to 250 sq ft for commercial offices industry-wide. Despite this small footprint, members pay an average of $8,000 per year, with WeWork capturing a healthy 30 – 40% operating margin, according to the company.

WeWork is shifting from leases to co-management deals. In this scenario, landlords might pay for the renovation and buildout of offices and/or split membership profits 50/50, similar to the management agreement popularized by the hotel industry. Neumann says WeWork has followed this strategy nearly 100% of the time in markets like India and Israel.

In cities where there are numerous WeWork locations, each additional location serves to drive down membership churn. Artie Minson, WeWork’s former COO and current President, has noted, “in cities where WeWork opened more locations, membership cancellations declined.” While the vast majority of WeWork’s membership plans assign its members to a location, it does let members switch between locations.

First, it can quickly expand at scale, opening between 500K – 1M sqare feet per month. And second, it can design spatially efficient offices in non-identical locations. Both of these accomplishments rely on defensible strategic advantages, namely, a control of the complete building lifecycle and a mastery of data-informed design.

Why Amazon and Google haven’t attacked banks

Cloud spending by banks is expected to skyrocket. By 2021, banks globally are forecast to spend more than $12 billion on public cloud infrastructure and data services, up from $4 billion last year. By many metrics, the cloud business offers better opportunities to tech firms than, say, retail banking. Overall cloud-industry revenues are growing at about 60% year-over-year, Jefferies estimates. Meanwhile, retail-banking revenue, comprising products such as checking accounts and cards, at most big banks is growing at a fraction of that rate. And any real foray into banking or financial products could also entail substantial regulatory issues and expense.

Experts say Tesla has repeated car industry mistakes from the 1980s

Robots are supposed to allow production of more cars with fewer workers, but one ironic consequence of over-automation is that it can actually require more workers. Ingrassia and White report that GM’s Hamtramck plant had around 5,000 workers on its payroll in the mid-1980s, compared to 3,700 workers at a nearby Ford plant with many fewer robots. Yet the Ford plant was “outproducing Hamtramck by a wide margin.”

This kind of rapid iteration works well in the software industry because a programmer can change one line of code and then re-build the entire project with the click of a button. But physical manufacturing isn’t like that. Car design decisions have to be translated into physical tooling that takes months to build and fine-tune. And rapid iteration is a nightmare for suppliers, Shook added. “I talked to a supplier and asked ‘who’s your worst customer'” Shook said. “The answer was Tesla. How can you be a good supplier when you don’t know when you’re supposed to deliver?”

Free cash flow to whom?

Alphabet has 1,000 shares trading at $50. They buy back 100 shares for $500. They should now have 900 shares. However in their financial statements, it says they now have 1100 shares, due to 200 shares being issued to employees. Those 100 net new shares are worth $500, which we then subtract from the financial year’s free cash flow, to arrive at a new Free Cash Flow with Hypothetical Cash Compensation™ metric.

When a company’s share price is rising, prospective employees are more than happy to be paid in stock units that incrementally mature over four years. Companies with the best-performing stocks will be able to attract the best talent, which (all else being equal) should improve the performance of the business, and therefore increase the share price in a virtuous cycle.

But that cycle can effectively function as a type of confidence game as well. While it makes good times look especially good, it can make the bad times far worse. In a severe share-price decline, engineers will likely be reticent to receive stock-based compensation instead of cold hard cash, which would put pressure on operating margins and cash flow. And as share prices fall, companies would have to pony up more stock to provide the same compensation, and further dilute the shareholder base.

Air pollution kills 7 million people a year, WHO reports

Nine of 10 people around the world are exposed to dangerously high levels of pollutants that can lead to cancer and cardiovascular diseases. Air pollution levels were the highest in the eastern Mediterranean and southeast Asia, where in some areas airborne toxins were five times WHO limits and disproportionately affected the poor and most vulnerable. About 3 billion people are breathing deadly fumes from domestic cooking stoves and fires. Household air pollution caused an estimated 3.8 million deaths in 2016.

The Grumpy Economist: Basecoin

The Fed was founded in 1907 in part to provide an “elastic currency,” exactly the lesson missing from bitcoin and at the center of basecoin. Alas, the Fed trades money for treasury bonds, backed by taxes, not for Fed bonds backed by future seignorage. And laws against using foreign currency or issuing private currency help a lot. Basecoin buyers will soon learn the lesson that bonds cannot pay more interest than money in a liquid market, and that claims to future seignorage cannot back money in the face of competitive currencies.


Ray Dalio: An unconventional take on success

Everything I’ve done with a singular focus on economics has fallen short. Everything I’ve pursued because I believed in the intrinsic value has exceeded expectations. Assessing a business based on unit economics is especially popular today. But a durable competitive advantage comes from the value it creates for its stakeholders. If you get that right, the unit economics will follow. Economics is not always an accurate reflection of intrinsic value. The same can be said of a career.