Curated Insights 2018.09.14

Risk, uncertainty and ignorance in investing and business – Lessons from Richard Zeckhauser

People feel that 50% is magical and they don’t like to do things where they don’t have 50% odds. I know that is not a good idea, so I am willing to make some bets where you say it is 20% likely to work but you get a big pay-off if it works, and only has a small cost if it does not. I will take that gamble. Most successful investments in new companies are where the odds are against you but, if you succeed, you will succeed in a big way.” “David Ricardo made a fortune buying bonds from the British government four days in advance of the Battle of Waterloo. He was not a military analyst, and even if he were, he had no basis to compute the odds of Napoleon’s defeat or victory, or hard-to-identify ambiguous outcomes. Thus, he was investing in the unknown and the unknowable. Still, he knew that competition was thin, that the seller was eager, and that his windfall pounds should Napoleon lose would be worth much more than the pounds he’d lose should Napoleon win. Ricardo knew a good bet when he saw it.

…in any probabilistic exercise: the frequency of correctness does not matter; it is the magnitude of correctness that matters…. even though Ruth struck out a lot, he was one of baseball’s greatest hitters…. Internalizing this lesson, on the other hand, is difficult because it runs against human nature in a very fundamental way… The Babe Ruth effect is hard to internalize because people are generally predisposed to avoid losses. …What is interesting and perhaps surprising is that the great funds lose money more often than good funds do. The best VCs funds truly do exemplify the Babe Ruth effect: they swing hard, and either hit big or miss big. You can’t have grand slams without a lot of strikeouts.

Risk, which is a situation where probabilities are well defined, is much less important than uncertainty. Casinos, which rely on dice, cards and mechanical devices, and insurance companies, blessed with vast stockpiles of data, have good reason to think about risk. But most of us have to worry about risk only if we are foolish enough to dally at those casinos or to buy lottery cards….” “Uncertainty, not risk, is the difficulty regularly before us. That is, we can identify the states of the world, but not their probabilities.” “We should now understand that many phenomena that were often defined as involving risk – notably those in the financial sphere before 2008 – actually involve uncertainty.” “Ignorance arises in a situation where some potential states of the world cannot be identified. Ignorance is an important phenomenon, I would argue, ranking alongside uncertainty and above risk. Ignorance achieves its importance, not only by being widespread, but also by involving outcomes of great consequence.” “There is no way that one can sensibly assign probabilities to the unknown states of the world. Just as traditional finance theory hits the wall when it encounters uncertainty, modern decision theory hits the wall when addressing the world of ignorance.


Hank Paulson says the financial crisis could have been ‘much worse’

While Bear Stearns’ failure in normal markets would not hurt the U.S. economy, we believed that the system was too fragile and fear-driven to take a Bear Stearns bankruptcy. To those who argue that Bear Stearns created moral hazard and contributed to the Lehman failure, I believe just the opposite—that it allowed us to dodge a bullet and avoid a devastating chain reaction.

If Bear had failed, the hedge funds would have turned on Lehman with a vengeance. Lehman would have failed almost immediately and the result would have been much worse than Lehman’s September failure, which occurred after we had stabilized Fannie Mae and Freddie Mac and Bank of Americaacquired Merrill Lynch. I would hate to imagine what would have happened if this whole thing started before we’d stabilized Fannie and Freddie.

An interview with Tim Geithner on this topic was done recently at the Yale School of Management and he speaks much more authoritatively on the limits of the Fed powers than I, but here goes. While our responses may have looked inconsistent, Ben, Tim, and I were united in our commitment to prevent the failure of any systemically important financial institution. But we had a balkanized, outdated regulatory system without sufficient oversight or visibility into a large part of the modern financial system and without the necessary emergency powers to inject capital, guarantee liabilities, or wind down a non-banking institution. So we did whatever we could on a case-by-case basis.

For Lehman, we had no buyer and we needed one with the willingness and capacity to guarantee its liabilities. Without one, a permissible Fed loan would not have been sufficient or effective to stop a run. To do that, the Fed would have had to inject capital or guarantee liabilities and they had no power to do so. Now, here’s the point that I think a lot of people miss: In the midst of a panic, market participants make their own judgments and a Fed loan to meet a liquidity shortfall wouldn’t prevent a failure if they believed Lehman wasn’t viable or solvent. And no one believed they were.

AIG is a cautionary tale. We should not have let our financial regulatory system fail to keep up with modern financial markets. No single regulator had oversight visibility or adequate powers to deal with AIG. Its insurance companies were regulated at the state level, its holding company was like a giant hedge fund sitting on top of the insurance companies, and it was regulated by the ineffective Office of Thrift Supervision, which also regulated—get this—Countrywide, WaMu, IndyMac, GE Capital. They all selected their regulator. So you get the picture, it’s regulatory arbitrage.

And I’m concerned that some of the tools we effectively used to stave off disaster have now been eliminated by Congress. These include the ability of Treasury to use its exchange stabilization fund to guarantee the money market funds, the emergency lending authority the Fed used to avoid the failure of Bear and AIG, and the FDIC’s guarantee of bank liabilities on a systemwide basis, which was critical.

The global smartphone supply chain needs an upgrade

At the peak in October 2017, smartphone components accounted for over 33% of exports from Taiwan, 17% of those from Malaysia and 16% from Singapore. Smartphones comprise 6% of Chinese exports. Memory chips flow from South Korea and Vietnam; system chips from Malaysia, Taiwan and elsewhere; and displays from Japan and South Korea. Rich-world firms, such as Qualcomm, sell licences to use their intellectual property (IP). The parts are then assembled, mainly by armies of Chinese workers.

Apple and 13 of its chip suppliers earn over 90% of the total pool of profits from the Apple system. Meanwhile the tail of other firms doing more basic activities must pay for most workers, inventories and fixed assets (see chart). So they have in aggregate a weak return on equity, of 9%, and a net profit margin of just 2%. Their earnings have not risen for five years. They include assemblers such as Taiwan’s Hon Hai and niche component makers, some of which are visibly struggling. On August 22nd AAC Technologies, a specialist in making phones vibrate, said its second-quarter profits fell by 39% compared with the previous year.

Apple, Samsung and most semiconductor makers could ride out such tensions, with their high margins and cash-laden balance-sheets. But the long chain of other suppliers could not, given their razor-thin margins, big working-capital balances and fixed costs. Tariffs could push them into the red. Of the 132 firms, 52% would be loss-making if costs rose by just 5%. And a ZTE-style cessation of trade would be disastrous. If revenues dried up and the 132 firms continued to pay their own suppliers, short-term debts and wages, 28% of them would run out of cash within 100 days.

If you are running a big firm in the smartphone complex, you should be reimagining things in preparation for a less open world. In a decade, on its current trajectory, the industry will be smaller, with suppliers forced to consolidate and to automate production. It may also be organised in national silos, with production, IP, profits and jobs distributed more evenly around the world. Firms will need to adapt—or be swiped away.

The story of Box: A unicorn’s journey to public success

The early days of Box’s selling file sharing and collaboration have largely been replaced by big corporate wins. One measure of Box’s success is its penetration of the Fortune 500—from 52% in the second quarter of 2016 to 69% in the same quarter of fiscal 2019. About 58% of Box’s total revenue comes from enterprises of 2,000 employees or more.

In Box’s recently completed fiscal quarter, it closed 50 deals of more than $100,000, compared with 40 a year ago; 11 deals of more than $500,000, versus eight a year ago; and two deals of more than $1 million, compared with four a year ago. It expects a strong pipeline of seven-figure deals in the back half of this year.

But in encouraging its salespeople to pursue bigger deals, Box increasingly faces competition from deeper-pocketed competitors in a total addressable market pegged at $45 billion, based on market research by Gartner and IDC.

Soccer fans, your team is coming after you

At the time of its 2012 initial public offering, Man United counted 659 million fans worldwide. Analysts estimate the team’s revenue this year will be about 587 million pounds ($763 million) — just $1.16 per supporter. Twitter Inc. has just 338 million active monthly users, yet enjoys revenue of $2.4 billion and a market value of $27 billion.

Digital marketing provides the opportunity for teams to put themselves in the middle of the sale of a service or product. It’s not simply about using a website or an app to sell fans more jerseys or baseball caps. It’s about turning the team into a platform, a way of connecting brands to customers, in the same way as Facebook Inc. and Alphabet Inc. already do.

Much in the way that price-comparison websites charge insurers or credit card companies for connecting them to customers, a sports team could, for example, offer its own exclusive video content with another provider’s mobile phone contract and take a cut of the proceeds. If that meant each fan were to spend just one more dollar a year with the club, it would provide a significant boost to sales.


Alibaba-backed apparel-sharing company YCloset brings sharing economy to a new level

Founded in December 2015, YCloset charges a monthly membership fee of 499 yuan and allows female users to rent unlimited clothes and accessories country-wide. Furthermore, users can choose to buy the apparel if they like to and prices fluctuate according to the rent count. Thus far, 75% of the income comes from membership fees and the remaining comes from sales of clothing. YCloset positions itself as a company that offers affordable luxury, professional and designer brand clothing. The company hopes to have the top famous brand to drive the long-tail brands.

In terms of business model, YCloset gradually shifted from one-time supplier purchase to brand partnerships with clothing companies. Brand partnerships allow revenue sharing between YCloset and their partners. To these clothing companies, YCloset gave them a new revenue, at the same time, they may get consumer insights from the data YCloset collects. In the future, YCloset will have joint marketing campaigns with the brands and assist in incubating new brands.

Autonomous delivery robots could lower the cost of last mile delivery by 20-fold

Last mile delivery – the delivery of goods from distribution hubs to the consumer – is the most expensive leg of logistics because it does not submit to economies of scale. The cost per last mile delivery today is $1.60 via human drivers but could drop precipitously to $0.06 as autonomous delivery robots proliferate.

Autonomous delivery robots are roughly seven times more efficient than electric vehicles on a mile per kilowatt basis. The major costs for autonomous delivery robots are hardware, electricity, and remote operators. Unlike in electric vehicles, the battery is not the largest cost component in slow moving robots. Air resistance is a function of velocity squared, suggesting that a robot traveling at four miles per hour loses much less energy than a car traveling at highway speeds to air resistance. As a result, rolling robots do not require large batteries, lowering both hardware and electricity costs relative to more traditional electric vehicles.

If rolling robots enable last mile delivery for $0.06 per mile, artificial intelligence could be advanced enough to improve their unit economics. A remote operator responsible for controlling robots in difficult or confusing situations probably will oversee roughly 100 robots, accounting for more than half of the cost per mile, as shown below. As autonomous capability improves, remote operators should be able to manage larger fleets of robots, bringing down the costs per robot.


Hospitals are fed up with drug companies, so they’re starting their own

A group of major American hospitals, battered by price spikes on old drugs and long-lasting shortages of critical medicines, has launched a mission-driven, not-for-profit generic drug company, Civica Rx, to take some control over the drug supply. Backed by seven large health systems and three philanthropic groups, the new venture will be led by an industry insider who refuses to draw a salary. The company will focus initially on establishing price transparency and stable supplies for 14 generic drugs used in hospitals, without pressure from shareholders to issue dividends or push a stock price higher.


Harvard Business School professor: Half of American colleges will be bankrupt in 10 to 15 years

There are over 4,000 colleges and universities in the United States, but Harvard Business School professor Clayton Christensen says that half are bound for bankruptcy in the next few decades. Christensen and co-author Henry Eyring analyze the future of traditional universities, and conclude that online education will become a more cost-effective way for students to receive an education, effectively undermining the business models of traditional institutions and running them out of business.

Christensen is not alone in thinking that online educational resources will cause traditional colleges and universities to close. The U.S. Department of Education and Moody’s Investors Service project that in the coming years, closure rates of small colleges and universities will triple, and mergers will double.

More than 90 per cent of Chinese teens access the internet through mobile phones, says report

The proportion of Chinese children under 10 years old who use the internet – which was only 56 per cent in 2010 – reached 68 per cent last year. More than 90 per cent of Chinese minors, those aged up to 18, can now access the internet through mobile phone and over 64 per cent of primary school kids have their own smartphones. Nearly 85 per cent of Chinese minors use WeChat, compared to only 48 per cent five years ago, but Chinese juveniles are still more fond of QQ, while Chinese adults prefer WeChat as a social app.

Curated Insights 2018.03.04

The #1 reason Facebook won’t ever change

Google’s core DNA is search and engineering, though some would say engineering that is driven by the economics of search, which makes it hard for the company to see the world through any other lens. Apple’s lens is that of product, design, and experience. This allows it to make great phones and to put emphasis on privacy, but makes it hard for them to build data-informed services.

Facebook’s DNA is that of a social platform addicted to growth and engagement. At its very core, every policy, every decision, every strategy is based on growth (at any cost) and engagement (at any cost). More growth and more engagement means more data — which means the company can make more advertising dollars, which gives it a nosebleed valuation on the stock market, which in turn allows it to remain competitive and stay ahead of its rivals.

Facebook’s challenge is that their most lucrative market — the US and Canada — are saturated. And to keep making money in these markets — already a ridiculous $27 in ARPU for the last three months of 2017 — they need us to give more time and attention to them. This is a crisis situation for Facebook because it doesn’t make as much money from markets outside of the US and Canada. For the same three months, it made $2.54 in ARPU in Asia-Pacific, $1.86 in rest of the world, and $8.86 in Europe.


Netflix

And if you’re dependent upon advertising you’re done. The public will not sit for it, only the cheapest individuals will endure ads, and then the ads don’t work on them, because they’re so damn tight. No, the people advertisers want to reach are the spenders, which is why everybody’s now advertising on Amazon, check it out, that’s where the dollars change hands.

So the networks and other ad-supported channels are on life support. They’re dependent upon hits, which come and go, and what do I always say…DISTRIBUTION IS KING!

So, just having good content is not enough, you’re reinventing the wheel every season, you’re only as good as your last hit.

As for HBO… That’s a dying model. If the outlet were smart, they’d band together with Hulu or another player and release all episodes on the same day. People don’t like to wait, appointment viewing is passe. We want it all and we want it NOW!

As for Hulu, forget about it, it doesn’t have critical mass, and unlike Netflix, it’s only in America. Sure, the “Handmaid’s Tale” burnished the outlet’s image, but Netflix has more than that, “Narcos,” Stranger Things,” 13 Reasons Why,” “Wormwood”… A record company can’t survive on one act, you need a steady flow of product, which Netflix has. And it’s a virtuous circle, they keep adding subscribers to the point they’ve got more money and they spend it on the best creators! So they end up with the lion’s share of the viewers. Which is why Fox wanted out, why it sold to Disney.

Nobody wants to let Google win the war for maps all over again

The companies working on maps for autonomous vehicles are taking two different approaches. One aims to create complete high-definition maps that will let the driverless cars of the future navigate all on their own; another creates maps piece-by-piece, using sensors in today’s vehicles that will allow cars to gradually automate more and more parts of driving.

Alphabet is trying both approaches. A team inside Google is working on a 3-D mapping project that it may license to automakers, according to four people familiar with its plans, which have not previously been reported. This mapping service is different than the high-definition maps that Waymo, another Alphabet unit, is creating for its autonomous vehicles.

Mobileye argues that it’s more efficient and cost-effective to let the cars we’re driving today see what’s ahead. In January, the Intel Corp. unit announced a “low-bandwidth” mapping effort, with its front-facing camera and chip sensor that it plans to place in 2 million cars this year. The idea is to get cars to view such things as lane markers, traffic signals and road boundaries, letting them automate some driving. Mobileye says this will take less computing horsepower than building a comprehensive HD map of the roads would.

Hidden profits in the prescription drug supply chain

Analysts at Bernstein tried to get a better picture of how profitable these companies are by excluding the cost of the drugs that are included in their revenue. The analysts compared the rate at which gross profit converts into earnings before interest, taxes, depreciation and amortization for pharmacy-benefits managers and other pieces of the drug supply chain, including drug distributors, insurers and pharmacies.

By this analysis, pharmacy-benefit managers are exceptionally profitable; 85% of their gross profit converted into Ebitda over the past two years. Drug distributors converted 46% of their gross profit, while health insurers and pharmacies achieved about 30%.


Sergio Marchionne’s final lap

Few people in automotive history have as impressive a legacy of wealth creation as the 65-year-old Marchionne: Henry Ford, Billy Durant, Karl Benz and Kiichiro Toyoda among them. But those titans were like the industry’s farmers — cultivating businesses from scratch and nurturing them into today’s automaking giants. Marchionne, in contrast, has been the fireman — running into the ruins of once-great companies, putting out the flames and rebuilding something better than before.

“In 2004, when you were first introduced to the auto industry, a lot of people were thinking, ‘Who the hell is this guy?’ Right? I was one of them, frankly,” Morgan Stanley analyst Adam Jonas told Marchionne during FCA’s Jan. 25 quarterly call with analysts. “We hadn’t seen anything like you. You took $2 billion, roughly, and you’ve turned it into around $72 billion, and more important than that, there are many hundreds of thousands of families across many nations that are better off because of you and your team.”

In 2009, Marchionne inherited a mess. Daimler and later Cerberus Capital had largely failed to invest in necessary product improvements or modernize the company’s industrial footprint. Morale among employees who had survived constant cost-cutting, including several rounds of layoffs, and then the bankruptcy could not have been lower. Marchionne offered the automaker’s disheartened employees a path back to potential health — one that demanded long hours, hard work, humility and sacrifice. The employees accepted the challenge. They set to work fixing many of the things that had gone so wrong with Chrysler and its products — improving quality, overhauling 16 vehicles in 19 months, banning rat-gray interiors and fixing manufacturing plants. Their level of commitment and dedication to restore the company to some semblance of health continually surprised Marchionne.


Didi Chuxing took on Uber and won. Now it’s taking on the world

With 400m registered customers in more than 400 Chinese cities, it delivers 25m rides a day, roughly twice as many as Uber and all the other global sharing apps combined. In the future, Liu imagines an even larger purpose, as Didi uses big data and machine learning to fix the many problems that snarl-up urban areas. “When you redesign the transportation system, you basically redesign the whole city,” Liu says. “You redefine how people should live.”

AI currently matches thousands of riders and drivers each minute, as part of a decision-making platform the company calls “Didi Brain”. This already predicts where riders are likely to want cars 15 minutes ahead of time, guessing right 85 per cent of the time. As it seeks out more patterns, Zhang says, the system will see forward an hour, or even a full day, using reinforcement learning, a powerful AI technique in which computers learn via experimentation, much as a child might use trial and error.

But for Didi, machine learning helps solve more basic problems, like traffic signals. “They’re sometimes manually operated every 90 seconds by someone sitting in a room,” Liu says. In the eastern city of Jinan, Didi algorithms now power “smart” traffic lights, which optimise patterns based on real-time car data, cutting congestion by ten per cent. Similar projects are under way in dozens of cities, along with plans to improve traffic lane management and bus systems.


Dyson bets on electric cars to shake up industry

Dyson has worked extensively on lightweight materials, leading several people to speculate the first vehicle may be substantially comprised of plastics rather than metals, something usually reserved for high-end supercars. This would make the cars lighter — important because of the weight of electric batteries — but also allowing for more inventive designs. When announcing the project last September, Sir James said the first car would look “quite different” to any currently on the market.

Dyson aims to lean less heavily on suppliers than traditional carmakers, partly because of a penchant for making components in house, and partly because electric cars contain substantially fewer bits than their combustion engine counterparts. The group already produces electric motors, which turn the wheels, as well as battery cells in-house, and is investing heavily in software development, an increasingly important part of modern cars.


SpaceX joins race to make web truly worldwide

If successful, however, SpaceX has said it plans to start launching its first commercial satellites next year, with a constellation of more than 11,000 circling the earth in low-earth orbit by the time the network is complete in 2024.

The satellite trial points to an impending space race that has drawn in powerful backers. Google, which once looked at developing its own satellite-based network, became one of SpaceX’s biggest backers when it led a $1bn investment round three years ago. Meanwhile, SoftBank and Richard Branson are among the backers of OneWeb, a European rival that hopes to start providing broadband internet next year.


Driverless cars: mapping the trouble ahead

“Everyone is trying to develop their own in-house HD map solution to meet their self-driving needs, and that doesn’t scale,” says Mr Wu of DeepMap. “It’s all reinventing the wheel, and that’s wasting a lot of resources. That will probably be one of the reasons to block self-driving cars from becoming a commodity.” Because companies do not share mapping data and use different standards, they must create new maps for each new city that they plan to enter. “It will delay the deployment in certain geographies,” Mr Wang says.

Willem Strijbosch, head of autonomous driving at TomTom, says the maps needed for driverless cars are different from the current map applications because they will need to “serve a safety critical function”, rather than just being used for navigation. “Another change is that you can no longer use GPS as your only means of localisation in the map,” he adds, because the global positioning system is not precise enough for self-driving cars.


Eyes in the sky: a revolution in satellite technology

Farmers can use the imagery to estimate crop yields around the world, investors are counting the number of oil storage tanks in China and estimating consumption trends, while human rights campaigners have used it to map the flight of the Rohingya population from Myanmar. On a daily basis, we can now study the shrinkage of glaciers, the expansion of cities, the deforestation of remote wildernesses and the devastation of armed conflict in intense detail.

“Seeing the whole Earth as a single entity is not new,” says Martin Rees, Britain’s astronomer royal. “But what is happening now is that we are monitoring it on a daily basis at high resolution. Satellites have enough resolution to observe every big tree in the world every day.”

Planet now has a fleet of 190 satellites in orbit, including 13 SkySat satellites. That network provides a steady feed of imagery — more than 1.3 million photographs a day — that can be combined with other data streams to create a comprehensive “space data processing platform”. The company includes feeds from the Sentinel satellites, which operate as part of the EU’s Copernicus programme, and the US Landsat 8 satellite, adding infrared and radar capability.

Over the past two years, Planet has sold its data services to hundreds of customers in about 100 different countries, including the US, UK and German governments and big companies such as Bayer, Monsanto and Wilbur-Ellis. Planet says it has strict ethical guidelines and vets its customers as best it can to ensure that sensitive images do not end up in the wrong hands.

The number

Dr. Edward Deming once said that the numbers that best define a company are two factors that do not appear on any financial statement. These factors are the value of a satisfied customer and the value of a dissatisfied customer. These factors must be multiplied by every other number in a financial statement in order to assess the prospects of the business. A high satisfaction leads to repeat purchases and referrals, growing the business; while a low satisfaction leads to ending relationships and a repulsion of potential new customers. These numbers determine everything about the future and nobody quite knows what they are.

Stocks are more similar to bonds than you think

The table demonstrates that stocks have done an admirable job diversifying negative returns in bonds over time, showing losses only in three out of the 16 different times that bonds had down years. The spread between the two averaged more than 16 percent. It should also be comforting to those who practice diversification that even when both have fallen in the same year, bonds typically don’t get crushed like stocks do and instead tend to only show minor losses.

Companies pay workers to get savvier with money

Carrie Leana, a professor of organizations and management at University of Pittsburgh, said participants reported significant declines in their financial worry and increases in both their physical and psychological health.

To tackle this, companies are using incentives to boost participation in financial-wellness programs. These typically combine financial education with customized advice delivered by mobile apps and human advisers. The goal: to teach employees basic money-management skills and remind them—via text messages, emails or one-on-one meetings—to stick to budgets, pay bills and save more for everything from emergencies to retirement.

“We know that stress is the No. 1 cause of health-related issues, and the No. 1 cause of stress is money,” said SunTrust CEO William Rogers Jr. “If we can attack financial stress, we can improve our employees’ physical well-being as well.”

Curated Insights 2017.09.17

Apple’s real advantage is what’s inside the new iPhones and Watch

“If you look at the Android smartwatches that have cellular, they are literally twice the size.”

The iPhone 8 and X have the new A11 Bionic chip, which enables all sorts of clever image processing, augmented reality and artificial intelligence tasks. That gives Apple a big advantage in the AR market, which Morgan Stanley estimates could be worth $404 billion over the next three years.


Steve Jobs’ legacy & the iPhone X

The FaceID is a perfect illustration of Apple’s not so secret “secret sauce” — a perfect symbiosis of silicon, physical hardware, software, and designing for delight. Their abilities to turn complex technologies into a magical moment is predicated on this harmonious marriage of needs.

Controlling your own destiny is a smart business strategy and Apple isn’t the only one doing it. Today Google and Facebook are designing and producing their own highly optimized hardware for networking and data centers, mostly because the industry vendors like Cisco Systems made gear that had to fit the needs of many companies. Google is designing its own chips — especially to conduct resource hungry machine learning and artificial intelligence tasks.

It all starts with Silicon. Unlike software which can be written, discarded and rewritten at a rapid clip, the law of reality makes it hard for a chip to be designed, tried and manufactured at scale. So in a sense, Apple’s chip and hardware teams have to peer almost two-to-four years into the future, predict what could be possible, what they can make possible and then make it work.


Alibaba’s Jack Ma sets his sights on a new target

“Today if you look at the volume of the packages generated from our platform, it is about 55 million a day and we strongly believe that this can go grow to 1 billion, some years later. The size of the retail business in China is about 30 trillion yuan ($4.6 trillion). The question is, how do you redefine smarter package delivery? You don’t have to get the package and fly it from one warehouse to another city for a 200-kilometers delivery. You can deliver from the store nearby. It still creates a lot of new packages shipped, but very conveniently. So, today, all these logistics systems should be integrated into the commerce system.”


Meet the Earth’s largest money-market fund

Fueled by contributions from some 370 million account holders, the fund, known as Yu’e Bao—which means “leftover treasure”—has grown rapidly to manage $211 billion in assets. It is more than twice the size of the next largest money-market fund, a U.S. dollar liquidity fund managed by J.P. Morgan Asset Management, according to data from Morningstar Inc. Yu’e Bao’s assets doubled in the past year alone, and the fund now makes up a quarter of China’s money-market mutual fund industry.

Data reviewed by The Wall Street Journal indicates Tianhong boosted Yu’e Bao’s returns in recent years by increasing its allocation of funds to financial instruments with longer maturities. Such assets, however, tend to be less liquid than bank deposits and lower-yielding investments. About 40% of Yu’e Bao’s investments mature in under 60 days, versus over 60% four years ago, according to Tianhong’s reports.

Tianhong said it has various measures in place to prevent a liquidity crunch and believes the “probability of mass redemption is very low.” It said most of the fund’s customers have fairly small holdings of around $590 on average.


China fossil fuel deadline shifts focus to electric car race

The world’s second-biggest economy, which has vowed to cap its carbon emissions by 2030 and curb worsening air pollution, is the latest to join countries such as the U.K. and France seeking to phase out vehicles using gasoline and diesel. The looming ban on combustion-engine automobiles will goad both local and global automakers to focus on introducing more zero-emission electric cars to help clean up smog-choked major cities.


France drives EU tax blitz on revenues of US tech giants

Currently, US technology groups such as Apple and Facebook are taxed in Europe based on profits rather than total revenues. Many of these companies have angered European tax collectors and voters for years by using EU governments’ disparate tax codes to record profits in jurisdictions with the lowest effective rates, meaning that some companies have been able to pay little or no tax in countries where they have billions in sales.

We still don’t really know what CRISPR does to human embryos

Genome editing works by breaking DNA, and letting a cell’s natural repair mechanisms fix it. This is usually quite haphazard, and precise repairs were thought to be rare.


What machines can tell from your face

Although faces are peculiar to individuals, they are also public, so technology does not, at first sight, intrude on something that is private. And yet the ability to record, store and analyse images of faces cheaply, quickly and on a vast scale promises one day to bring about fundamental changes to notions of privacy, fairness and trust.

China’s government keeps a record of its citizens’ faces; photographs of half of America’s adult population are stored in databases that can be used by the FBI. Law-enforcement agencies now have a powerful weapon in their ability to track criminals, but at enormous potential cost to citizens’ privacy.


I’m not sold on self-driving cars

Even if self-driving cars do become ubiquitous, the benefits aren’t certain — as an overview from the Victoria Transport Policy Institute points out. Consider traffic. Freed from driving, people might demand more luxurious vehicles, in which they can work or even sleep. The added amenities will take up more space on the road, while the comfort will encourage people to take bigger trips and endure longer commutes. They might even prefer to move more slowly, to avoid unexpected accelerations that could wake them up or tip over a wine glass. Empty cars might circle endlessly to avoid parking charges. The potential result: more miles driven, more congestion and increased emissions.


Your next meal depends on 14 choke points in the world’s food supply transport chain

As the share of the world’s population with insufficient food supply has fallen from 52 per cent in 1965 to 3 per cent in 2005, most gains have come not through improved food production at home and self-sufficiency, but through increased trade; nearly 1 billion people worldwide now rely on international trade to meet their food needs.

While China is a key driver of increasing stress on the global food supply system, it is ironically not among the most vulnerable – not just because it has worked hard to diversify its food supply sources, but because it stands alone in investing serious money in improving the food supply chains on which it so heavily depends.

International commentators claiming that China’s US$20 billion investment this year in overseas ports is an expression of military muscle and expansionism miss the point. Investment in ports like Djibouti and Gwadar – along with the other 42 ports worldwide that Chinese companies have invested in – has much more to do with securing stable food and energy supplies than anything more sinister.