China faces a demographic shift similar to Japan three decades ago. Portfolio manager Jingyi Li explains how that comparison can help guide investors looking at China today.
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China faces a demographic shift similar to Japan three decades ago. Portfolio manager Jingyi Li explains how that comparison can help guide investors looking at China today.
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Portfolio manager Jingyi Li discusses how several Global Equities portfolio companies are using their pricing power to navigate through this period of higher interest rates and higher inflation.
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Portfolio manager Anix Vyas, CFA, discusses how the current conflict in the Middle East is affecting International Small Companies portfolio holding CyberArk.
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In 2023, Chinese markets have been roiled by continued trade tensions, slowing economic growth, and deleveraging in the property sector. Despite this difficult backdrop, there are reasons to be optimistic about the growth prospects of some Chinese companies. Portfolio Managers Andrew West, CFA, and Lee Gao discuss their current perspectives on China with Portfolio Specialist Apurva Schwartz, including how they weigh the opportunities and risks of investing in the market.
Real estate, the biggest source of wealth for Chinese consumers, was in bubble territory and has been slowing for a while. This has negatively affected consumer confidence and household consumption.
I see it differently. Viewed through the lens of Michael Porter’s competitive forces, which we use at Harding Loevner to analyze industry dynamics, the dispute was a clear example of a change in the bargaining power of buyers amid the changing economics of streaming services.
The twist is that Ozempic, a trade name for semaglutide, is a diabetes drug, not an obesity drug. Semaglutide is however effective in inducing weight loss; its creator Novo Nordisk markets a separate version called Wegovy specifically for obesity. Wegovy became so popular there were shortages of it, so doctors began prescribing Ozempic “off label” for a condition other than its intended use. That popularity fueled Novo Nordisk shares and this month it pushed past LVMH as Europe’s most valuable company.
Portfolio manager Scott Crawshaw highlights several companies in our Emerging Markets portfolio that are poised to benefit from increasing electrical power demand.
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In its second-quarter earnings conference call, Meta founder and CEO Mark Zuckerberg detailed how AI permeates the company. For example, nearly all of Meta’s advertisers now use at least one AI-based product, allowing them, for instance, to personalize and customize ads. He also touted an increase of 7% in time spent on Facebook after launching AI-recommended content from accounts that users don’t follow.
Now the company plans an aggressive push of its own version of generative AI, the kinds of large language models that have gotten so much attention lately. In July, the company released an open-source—i.e., free for even commercial use—generative AI platform called Llama 2, which Meta hopes will emerge as a competitor to OpenAI’s GPT-4. Meta is betting its platform will unleash users’ creative potential and result in a flood of content. If that occurs, Meta’s powerful algorithms for matching content with users—4 billion of them across all of its platforms—will become indispensable as a content-discovery tool with a rich set of monetization options from advertising to ecommerce to subscriptions.
Anyone who has interacted with popular AI models—asked them about the mysteries of life and the cosmos or created convincing Van Gogh replicas using AI-enabled image generators—can sense that we may be in the midst of a technological revolution. That prospect has consumed equity markets lately, with seven US tech-related stocks responsible for most of the market appreciation in the second quarter.
As an investor in high-quality, growing businesses, we have always tried to position this portfolio to benefit from secular trends, the kind that transcend economic cycles and are driven by fundamental changes in key areas such as tech. Still, it is incredibly difficult for anyone to predict how such trends will unfold; the vicissitudes of cryptocurrency are a sobering reminder of this. Furthermore, as seen with the rise of the internet and, later, mobile connectivity, technology is merely a platform; it’s the applications of the technology that eventually determine many of the winners and losers. In the case of generative AI, some of the future applications may not yet be conceivable, although many companies, even outside the tech field, are now pondering the possibilities.
Portfolio Manager Wenting Shen, CFA, and Portfolio Specialist Apurva Schwartz discuss why Chinese companies are relocating production facilities to Southeast Asia. Watch the rest of their conversation.
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As the world’s largest consumer-goods company, Procter & Gamble provides insight into what’s driving the pricing decisions at big brands.
Portfolio manager Pradipta Chakrabortty discusses the earnings bright spots within emerging markets regions and sectors.
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While US companies account for just over 60% of the market capitalization of the MSCI All Country World Index, their weight is a tad misleading given that a few technology giants—Alphabet, Amazon, Apple, and Microsoft—weigh heavily on the scale. Together, those four are valued at nearly US$8 trillion, more than the next 15 largest US stocks combined.
The superheroes of the stock market—mainly US corporations valued at or close to a trillion dollars—tend to dominate investment news and research. And yet little-known small companies—often based outside the US—that never generate a headline remain some of the most vibrant sources of innovation. If the biggest large caps sell the finished products that investors and consumers know well, small caps often occupy a small niche along the global supply chain, providing a critical piece of technology known only to its intended audience.
One of our more acid-tongued colleagues likes to observe that “just because we don’t do macro, it doesn’t mean the macro cannot do us.” The observation is a challenge to our bottom-up investment philosophy and merits a response. What does his comment really mean? Is he correct?
But days before Shen’s departure, new complications arose: outbreaks of the Omicron variant in several Chinese cities, including Shanghai, were prompting citywide lockdowns. The flight was still due to depart, but had been rerouted to Fuzhou, a coastal city across the strait from Taiwan, 450 miles to the Southwest.
The natural—some would say, prudent—decision at this point might have been to postpone her trip. But Shen, worried she might not easily get another ticket, pressed ahead. Here are her travel bulletins.
While ours certainly is not the only firm to have been caught out by Russian exposure, and the past few months of rising inflation and interest rate fears have in some ways brought even bigger headaches for our quality-growth investing style, the Russia losses were still “a gut punch,” as a colleague recently told NPR. And we have been asking ourselves, what did we get wrong, and debating what could have been predicted.
Much of the debate surrounding indexing centers on the relative merits of taking an active versus passive investment approach. But the question of how indexing might be reshaping market structure is largely unexplored. The standing assumption is that, since passive investment flows mirror the prevailing distribution of capital, index trades are bereft of information and therefore have no effect on the pricing of the underlying securities; hence the overall scale of indexing is irrelevant. But this assumption becomes more tenuous as the share of passively managed assets grows. What if passive increased to, say, 100% of all equity assets? Would those investments still have no effect on prices?
It’s unclear how the widespread use of indexing may be affecting market structure; that is, at what point the sheer quantity of assets mimicking market behavior could start to change the behavior. Maybe it already has.
The outsized demand for durable goods has run headlong into the diminished supply. While the springboard for price increases may have been reduced supply, the strength and persistence of those increases, which are now feeding through to labor markets, are raising the specter that aggregate demand is outpacing even normalized aggregate supply. There is precious little that monetary policy can do to counter supply-led inflation, but—Omicron willing—it is likely to be temporary. But if inflation comes to be led by stubborn excess demand, then tight monetary policy is the orthodox response, and we can expect central banks to hit the economy over the head with a brick to prevent a sustained wage-price spiral. Demand-led inflation would have significant implications for asset prices.
Inflation is notoriously difficult to forecast; even some at the US Federal Reserve (Fed) concede that it has no working model for inflation.1 We could do no better and accordingly make no effort to forecast future inflation. What we can do is talk to the companies we own or follow and tease out the impact on their earnings from the rising input costs they’re experiencing; their changing bargaining power vis à vis their suppliers; whether they are able to pass on higher costs to their customers before stifling demand; and how all that is coloring their business outlook. The following represents what our research analysts have been able to glean from those conversations.
One can only speculate on the reasons for this synchronous timing, but one possibility that stands out is the confluence of the five-year policy and leadership cycles in China. This is the first year of the 2021-25 Five-Year Plan, but more importantly, it is the final full year before the top 200 or so members of the Central Committee of the Communist Party of China are selected at its National Congress in October 2022. It bears remembering that those politicians are similar to counterparts elsewhere in facing challenges that have diverted them from other priorities. They spent the first two years of their terms coping with escalating US-China trade tensions, and just when “normal order” loomed after the signing of the Phase One trade agreement, COVID-19 hijacked everyone’s lives. Only recently have they gotten a chance to work on much-delayed goals.
There are many similarities between cultures at football clubs and investment organizations, despite the underlying processes required by their core activities—making decisions on the pitch about how to try and score and defend or making decisions about buying and selling securities—being very different.
In both industries, the goal is for the team to be greater than the sum of its parts. On the pitch, an individual must rely on teammates, but certainly not debate or challenge them. Rather, coaches teach decision making so that, like muscle memory, it is instantaneous and requires little active thought.
At Harding Loevner, rules and processes constrain decision making to prevent it from being dominated by cognitive biases. Colleagues think for themselves but must expose their ideas to challenge. This is the core of our investment culture—what we call “collaboration without consensus.” We believe that one of the most difficult biases to overcome in conducting research is the tendency to give precedence to evidence that confirms our beliefs and to ignore evidence that challenges them. So, it is important that our ideas be continuously exposed to challenge. However, this leads to other problems. Humans, as social beings, generally don’t like disagreement; they are literally fearful of it. That’s why an important part of a culture of collaboration without consensus is that it be enabled by both transparency and the value of tolerance. We strive to sustain an environment in which colleagues do not feel threatened by disagreement and recognize that challenges—while discomfiting—are essential for good decision making.
In investing, there has been at least a little progress towards improving decision making by resisting the power of stories. Quantitative investors describe how they adhere to purely objective rules (rules and lines of code that, of course, they themselves have written) to govern their behavior and reduce bias. “Quantamentalists,” another breed of investor, allow some judgement to enter their decision making once they have established the framework. They do this in part in recognition that, as a rule, most humans don’t like rules. We suffer from what psychologists call “algorithm aversion,” i.e. preferring to go with our gut. That preference results from our need to remain in control, or at least to believe we are. Permitting human override of an algorithm may degrade the quality of its output, but in granting themselves the comfort of exercising some degree of control, decision makers likely improve their rate of adherence, for an overall improvement in outcomes. I fully expect self-driving cars to come with a steering wheel that will have no impact on direction of travel, but will allow the human passenger to feel more secure than if she were simply sitting back and giving herself over fully to the computer under the hood.
In his book The Success Equation, Michael Mauboussin writes extensively about the importance of a strong process and rules in activities where the immediate outcome is driven by luck and skill. He describes how it is possible to improve skill through what has become known as deliberate practice: repetitive, purposeful, and systematic repetition with immediate and specific feedback. Luck, however, can only be managed by having a strong process, with rules or standards constraining decision making and the urge to impute too much importance to our role in any one result. In activities such as investing or team sports—arenas where skill and luck both come into play—narrative is particularly seductive, making adherence to this recipe for success a constant battle.
The GameStop debacle, and the meme stock phenomenon more broadly, certainly fit that category. The story bears all the hallmarks of a Hollywood script: how a ragtag group of mostly retail investors, armed with commission-free trading apps and loosely coordinated across online message boards, executed a colossal short squeeze on the hedge funds betting against a down-at-its-heels brick-and-mortar video game retailer while inflicting bloody noses on some of Wall Street’s supposedly most-sophisticated operators. Predictably, several films are already in the works. But beyond the thrill of extravagant market pyrotechnics served up with a generous side of schadenfreude at seeing the odd master of the universe brought low by the great unwashed, why should we care?
We see this bias in many domains. Our political leaders tend to respond to a crisis with ill-considered policies that capture attention but often do little good and may even do harm. It would be unacceptable for them to stand by and simply do nothing. While serving as both vice chairman of Harding Loevner and as chairman of a professional soccer club that competes in the English Football League (EFL), I have been struck by the parallels between investing and sports when it comes to the biases that damage effective decision-making. Studies have looked at penalty kicks in soccer. When a penalty is awarded, the ball is placed 12 yards from the center of the goal and a kicker gets the opportunity to score with only the goalkeeper standing in the way. It turns out that because of the goalkeeper’s bias for action, the optimal place to kick the ball is directly at the center of the goal. A goalkeeper will almost always dive one way or another in anticipation. If he dives the wrong way, he’s forgiven as having simply guessed wrong, or as being sent the wrong way by the kicker’s supposed feint. If he dives the right way, he has a chance to stop the ball entering the goal. If he merely stands in the middle, however, he is the subject of much abuse for doing nothing.
Investors fall victim to similar pressures and impulses. The immediate costs of transacting are low, and the propensity to transact is high. The result is that investors transact too much, and their returns suffer. They tend to transact at the wrong time, buying after prices have risen, and selling after prices have fallen.
Underlying these behaviors is a general misunderstanding of the roles of luck and skill. In sports and in investing, short-term results are the outcome of a combination of the two. Yet, we tend both to attribute the outcome more to skill than to luck and to extrapolate a series of outcomes (good or bad) into the future. This tendency stems from our deep-seated need for explanation, and a need to feel we are in control even when we are not. This occurs particularly in those sports, like soccer, that are generally low-scoring affairs. Unlike in basketball, for example, where there will be more than a hundred points in a game, the average number of goals in a professional soccer game is roughly three. The result of a single game will largely be driven by luck—one bobble of the ball, the inches between hitting a goalpost and scoring, a poor refereeing decision. Yet the narrative in post-match interviews is seldom “we got lucky.” At least, it’s seldom the case that “we got lucky” when the interviewee’s team wins. When the team loses, the loss is the result of bad luck! How similar this is to investment narratives, where there seems to be only two kinds of investment managers: the talented, and the unlucky.
Indeed, when I started my career in investing in the late 1970s, obtaining even basic financial info about a German car company still required going to Germany and knocking on the company’s door.
Now gathering information no longer takes much effort. We are deluged by floods of data—not only the details of prices, volumes, margins, and capital investments of individual companies, but also highly granular data about credit card receipts, numbers of cars in parking lots, or words used in media reports. These new, “alternative” sources of information have briefly given some stock pickers a slight edge in predicting short-term stock price movements. The informational advantage provided by such data is but fleeting, however; once this data is commercially accessible to everyone, the advantage disappears. Thus, even for the short-term investor, information gathering itself no longer provides a lasting edge.
For long-term investors, the relationship to information has changed even more fundamentally. You no longer need to seek information; it finds you. Your job, rather, is to act as what Lou Gerstner, the former CEO of IBM, called an “intelligent filter”—determining the information that is important and ignoring data that (in the case of the investor) doesn’t help you forecast cash flows and estimate the value of a security.
If we are honest with ourselves, it is a question that almost all of us, as investors and people, are probably wondering right about now. In this case, it took the form of the following note from a young colleague based in locked-down London directed to me and my fellow Health Care analyst as part of the daily, ongoing Research Information Group email discussion that has always comprised much of our meeting, brainstorm, and “water-cooler” time here at Harding Loevner.
Considering the challenges of [vaccine] manufacturing and distribution, what would be your best estimate for when developed economies will return to “normality”? I.e., people in developed economies are allowed—and feel safe enough—to live a life more like 2019. E.g., Sept 2021? Jan 2022? Never?
For a vociferous minority, the only bankable hedge for inflation is gold. For them, every spike in the gold price is reproof of government perfidy and foreshadows an inflationary surge. The evidence linking gold’s price and inflation, however, is curiously threadbare. If gold is an unreliable hedge against rising prices, what role, if any, should it play in a portfolio?
The film opens with Alice saying, in part, “But, I nearly forgot, you must close your eyes otherwise you won’t see anything.” After all, Alice would never have experienced Wonderland or journeyed through the looking glass if she had not closed her eyes. And we’d have no Mad Hatter, no March Hare, and, of course, no Red Queen.
“Out of Our Minds” presents the individual viewpoints of members of Harding Loevner on a range of investment topics. For more detailed information regarding particular investment strategies, please visit our website, www.hardingloevner.com. Any views expressed by employees of Harding Loevner are solely their own.
Any discussion of specific securities is not a recommendation to purchase or sell a particular security. Non-performance based criteria have been used to select the securities discussed. It should not be assumed that investment in the securities discussed has been or will be profitable. To request a complete list of holdings for the past year, please contact Harding Loevner.
There is no guarantee that any investment strategy will meet its objective. Past performance does not guarantee future results.
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