Too Cleaver by Half

Too Cleaver by Half

Investment models that account for uncertainty, volatility, and failure succeed in the long term. Events in Ukraine, oil and natural gas markets, commodities, supply chain disruption, and spiking inflation highlight that, while none of these were predictable, all represent increasing uncertainty permeating all markets. The pandemic and war in Ukraine were unforeseen, but that’s just the point, unforeseen events will occur. It is a waste of time to try to predict the specifics, it is an essential investment strategy to manage risk to not only withstand but profit from “certain uncertainty.” Irrationality, not only in human behavior (with unfortunate, often tragic results) but market movements, investment volatility, and bewildering prices, is another certainty. “Mr. Market” as Benjamin Graham said, “is an irrational schizophrenic.” Investing as if he is not assures an investment strategy that will ultimately fail. An increasing number of growth and momentum investment funds are shutting down after sustaining significant losses recently, a sign of the severe pain the selloff in growth stocks is inflicting. More importantly, it signals an inability for investment funds to manage risk and understand that markets and investments do not move in a singular direction for long, and the correction is sudden and painful – regardless of how compelling “momentum” may seem. Risk management is the key to investment sustainability, but this seems to go ignored among most investment professionals. Frequent and extreme volatility is here to stay, and that is likely to decimate growth and momentum funds, as well as highly leveraged equity investment funds (from LTCM in 1998 to Archegos in 2021, the lesson is never learned for long – and there will be more examples to come). Clear and coherent markets, free from political agenda, bad compromises, and ineffective regulation are almost nonexistent. The consequences continue to be pyrotechnic.

Russia, the U.S., and Liar’s Poker

Russia, the U.S., and Liar’s Poker

Collectively, the world is good at screaming about all sorts of immediate and looming crises, whether that is climate change, totalitarian governments abusing civilians and trampling on personal rights or outright genocide. A speech and a prayer suffice but we’re not going to do anything. Donation websites, lighting buildings in flag colors of abused nations, and sending hopes and prayers accomplish nothing. We send prayers. We just won’t answer them. The Ukraine war’s consequences are severalfold. Economically, global consequences may be slower and less spectacular than the dramatic Russian military invasion. But, the effects will permeate the global economy, and Russia will be the biggest long-term loser. While this does not comfort families suffering and dying in the streets of Ukrainian cities, it realigns global industries and economies, strengthens the West, and is likely to galvanize United States’ leadership in the global economy – setting up even more intense rivalry China. A big uncompromising response now is the most likely strategy to settle these dramatic issues – and if it leads to regime change in Russia, that helps everyone, especially the Russians. The US and the EU need to grow up and start acting like global leaders.

A Few Simple Conclusions on a Few Simple Topics

A Few Simple Conclusions on a Few Simple Topics

Transformation, Valuation, Employment, and Deflation

Disruption to some of the world’s most important industries, deflationary pressure caused by scaling lower-cost businesses, and sustained low interest rates challenge traditional valuation models. Technological platforms, from blockchain-based businesses to energy storage to DNA sequencing, enable unprecedented disruption to business and economic models.

Interest rates will remain low, equity values will remain high, innovation will drive deflationary pressure, and volatility will be intense and frequent. A new approach is required to understand dynamic global competition and sustainable value.

When Up is Down

When Up is Down

Investors expected that the Fed would not only end its bond buying program, but many believed it would also raise interest rates. While the Fed did agree to taper its bond buying, essentially decreasing its $150 billion monthly bond buying program by $15 billion per month, ending the program in 2022. However, the Fed kept interest rates the same and clearly signaled that it would not raise interest rates anytime soon, and almost definitely not until the taper of its bond buying was completed – in other words, not for at least one more year.

Investors who had been betting on the Fed raising interest rates wagered on the yield curve flattening for Treasuries. Therefore, they invested in short-term Treasuries believing those would outperform longer-term Treasuries, as well as 10-year and 30-year bonds. Instead, we are seeing the opposite happen. Short-term bonds are dropping in price and yields are approaching their highest levels since March 2020. Meanwhile, prices for long-term bonds have climbed. This same phenomenon is happening for government bonds that only in the United States, but also in the UK, Canada, and elsewhere.

Reality, Euphoria, and the Market

Reality, Euphoria, and the Market

There are warning signs that the stock market is transitioning from some form of reality to misguided euphoria. The S&P 500 is up almost 10% in the last 30 days. However, this broad optimism doesn’t seem to be matched by many forms of fundamental reality.

Earnings are barely moving, and profit margins are under pressure from higher wages and rising product costs. However transitory one imagines supply chain constraints and lack of available workers, the situation has certainly extended much further than most predicted.

Decentralized Finance and Central Governments

Decentralized Finance and Central Governments

Decentralized finance (DeFi) can disrupt global finance – but only if Defi systems and central governments cooperate. Yes, sworn enemies cooperating for the greater good.

While each seems to be the sworn enemy of the other, ultimately, a cooperative relationship between decentralized and efficient (versus anachronistic and cumbersome) financial infrastructure and government central banks with stable currencies is absolutely necessary.
Defi transactions, to scale globally, require stable and predictable value. Government-issued currencies are the only reliable and foreseeable foundation. Cryptocurrencies, such as Bitcoin were never currencies. They are a sideshow that will remain a speculative asset, and increasingly unimportant.

Cryptocurrencies represent an architectural shift in how financial infrastructure and technology interact, and therefore, it is disrupting how the financial industry works globally. It is neither a new kind of money system nor a danger to economic stability. It is more important than that.

Life Sciences: The Real, the Hoped, and the Hyped

Life Sciences: The Real, the Hoped, and the Hyped

Investors have been swept up in the notion of “philanthropic capitalism” and have targeted life-sciences as an avenue that can fulfill this benefit to society. While laudable in concept, this is non-scientific surrealism. “Hoped-for” is not a reliable business model, and most of the unrealistic goals would not be sustainable even if achieved. Real science and innovation are more impactful and substantial and make life sciences even more.

Noise and Unpredictability

Noise and Unpredictability

Distinguishing what’s happening in the market and the direction of important market metrics – the signal – from garbled, inconsistent, and mostly useless data – the noise – is extremely challenging today. Information is contradictory and transient making data and critical events more confusing and indistinguishable. Unusual circumstances brought about by the pandemic, subsequent supply chain interruptions, inconsistent production and demand, and unclear economic forecasts combined for almost unprecedented uncertainty and unpredictability.

Typically, near-term predictions are reasonable and reliable because we have immediately available and fairly accurate data making short-term predictions reasonably accurate. In other words, we can estimate what will happen because we have a good idea what just happened. But this is not the case today. Predictions based on the near-term past are more muddled now than ever. While we used to be able to say we can see a trend, whether that’s inflation, economic growth, or some other important metric, too much volatility, irrelevance, and lack of applicability (after all, who is going to project from a base that includes a pandemic impacting global supply chains and production?), we really can’t reasonably rely on any of that data to try to find a trend or connect the dots generating a near-term forecast with any meaningful depth of data and understanding

More intense volatility occurring more often will be characteristic of this market from now on. An investment strategy must withstand and profit from this. The only clear signal from the market is that there is far too much noise and not enough of a clear signal. Without clarity, determining an investment strategy is flying blind with no instruments.

Core holdings combined with an ability to withstand and profit from volatility and unpredictability are essential for investors today.

Ptolemy, Galileo, and Financial Markets

Ptolemy, Galileo, and Financial Markets

Assume nothing, new models and analytical tools, coupled with constant revision, questioning everything, reassessing, and re-analyzing, are essential to success in today’s markets. Often, and we are seeing that in today’s market, relying on bad assumptions, dogma, or prior belief can be disastrous.

This story about medieval astronomy applies directly to investment strategies, market valuations, and portfolio construction today. It’s the same lesson –begin by questioning the very assumptions on which an entire system is built. There is also a very specific application of this model that is particularly current.

One of the most valuable lessons is to assume no knowledge and analyze closely every initial assumption. Nothing is so obvious that it can’t be questioned. Unexamined ideas and assumptions will eventually be useless. Any assumptions and any model used to explain and predict anything (whether it’s the movement of planets or financial markets) needs to go back to first principles and discard any assumptions, preconceived knowledge, or bias.

Tech Policy and Unintended Consequences

Tech Policy and Unintended Consequences

Technology is facing a substantial crossroads as policy changes with global resonance, such as China’s new crackdown on the country’s big tech companies (such as Ant Financial and Didi Global), the rising resistance to social media behemoths like Facebook, and the need for governments, whether in the United States, Western Europe, or China, to manage and control technological development. Regardless of any good intentions, this will add friction, inefficiency, and underperformance to the most dynamic global industry. The best intentions usually bring disastrous consequences. China cannot escape the law of unintended consequences. Trying to “manage” innovation and creativity takes away the often unplanned and serendipitous breakthroughs that make many significant advancements possible in the first place. From an economic perspective, capital is not going to invest in an uncertain environment where prosperity is managed and, despite great risk where most ventures will fail, the truly successful ones which make up for the losses and encourage capital to keep investing, will be mitigated. The vanguard of capital flight from China is beginning, and it will not ease if this policy and attitude are not revised. This attempt at “fairness and more equal distribution” will do nothing more than keep capital away and stifle any attempt at creativity, technical innovation, and economic advancement. The intention of this policy will yield the opposite outcome as a consequence. The signal means substance. Substance means innovation, creativity, and competitive dynamics that create the most effective innovations, the best solutions, and the most sustainable companies. Central planning, bureaucratic industrial policy, government-led economic management, and dictatorial focus have always failed, and always will. The US should not fall into this trap, regardless of how appealing it may be.

It is only noise.

Noise and Unpredictability

Noise and Unpredictability

Separating signal versus noise is challenging these days because today’s signal is more muddled than ever. One of the more unusual circumstances, which I covered in more detail in the article “Important and Unknowable” is that the immediate past is telling us extraordinarily little about the near future. That is unusual because we can typically estimate the near-term by connecting the dots with reasonable depth and data from the recent past.

One of the reasons why people have inflation fears, currency tremors, market jitters, and emotional vacillation between joy and terror is that all these outcomes seem equally likely that any sense to realistically gauge the directions of these key metrics. We can usually rely upon near-term data to predict the near-term future, and that usually gives us a reasonable sense of comfort about the markets, and how to plan, prepare, predict, and withstand anticipated market moves. But that does not seem to be the case now.

Important and Unknowable

Important and Unknowable

Economic predictions have always been highly variable and uncertain, and, for some reason, relied upon as if the future were a magical algorithm. Essentially, economists would make one fundamental mistake. They thought they were practicing a science. Data could be collected, inputted, and a predictive algorithm could be generated. Even Nobel Prize winners like Paul Samuelson believed that with enough data we could come to understand the economy and how it functioned.

This is nonsense. As Daniel Kahneman and Amos Tversky have shown us, human behavior and irrationality, combined with unpredictability and randomness (thank you Naseem Taleb) make this even a questionable social science. Using existing analysis and algorithms to reliably forecast is a fool’s errand, essential for someone’s tenure, and maybe even a Nobel Prize, but doesn’t add much that is useful. Some of the more laughable Nobel Prizes have been given to people who determined that markets were efficient. They are not. Economies can be predicted with useful data input. They cannot. A couple of inputs about inflation and the unemployment rate, and we know how to manage an economy. We can’t. That last one is the Philip’s Curve – true for a limited time and then it goes spectacularly wrong – a lot like most risk and market prediction models.
One thing we can add is that most predictions seem too good to be true, and almost always are. The economy is not a perpetual motion machine, nor is it a credit card with no limit and no requirement to pay the balance. The current notion that “deficits don’t matter” seems patently silly and naïve to think that we can simply print money without any economic discipline to generate sustainable profitable businesses with the efficient use of capital.

“Money goes where it’s needed, but it stays where it is treated well.”
Walter Wriston (former CEO of Citicorp)

That means it has to generate a return and not be co-opted by governments and public policy, nor be flooded by capital with no economic discipline.

Deficits may be a reasonable way to jumpstart a sluggish economy, but they are not sustainable. Current thinking is that fiscal discipline, debt repayment, and the idea of a balanced budget are anachronistic and useless. It is dangerous to stress test this idea because the downside is potentially cataclysmic. Capital likes a free market, but we hardly have a free market with money today. Constant stimulus does not create economic discipline.