Biotechnology

Noise and Unpredictability

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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.

Signal vs Noise

Ptolemy, Galileo, and Financial Markets

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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.

Stock Investment - Inflation, Predictions, Disruptions

Important and Unknowable

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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.

Digital Assets: Terror and Opportunity

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Cryptocurrencies Hit New Highs. Should we be terrified?

Probably.

Bitcoin, Ether and, the most recent joke, frenzy, and punch line, Dogecoin, have increased 10x to 20x over the last 12 months. A spectacular return, but can it last?

Probably not.

The forces driving the eye-watering returns are the same as those that drove the insanity behind GameStop: the equivalent of a trading floor in every pocket funded with excess cash looking for disruptive investment opportunities and charging forward like an out of control herd – or lemmings – however you want to envision it. Cryptocurrency became the overwhelming target of Reddit day traders and mobs. Social media influencers, led by various forms of PT Barnum imitators like Elon Musk and many less sophisticated contributors, combined with the public listing of Coinbase to create a massive rally.

Understanding Risk

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Risk is the permanent loss of capital.

It is not volatility, nor is it uncertainty. It is the realization of a loss. Therefore, risk is hard to understand because it is only clear with hindsight that a loss has occurred. Understanding how risk works can avoid this permanent loss by avoiding the mistakes that cause the permanent loss of capital.

Risk can also be used advantageously. Knowing that there is the prospect of loss, planning, and investment strategies that profit from these losses put you on the right side of the equation. Risk can be used to an investor’s advantage.

Essentially, anti-fragile (to coin Naseem Taleb’s term) strategies can benefit from volatility, uncertainty, and loss. Randomness permeates all markets, which means risk is always present. Knowing that, investment strategies need to be able to withstand unpredictable or unforeseen stresses. Not all risk factors can be known, or even if potential risks are identified, the magnitude and timing are unknown. What can be certain is that they will occur, and a portfolio that is “fragile” can be devastated

Uncertainty and Irrationality

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Clear and coherent markets, free from political agenda, bad compromises, and ineffective regulation is almost nonexistent. The consequences are usually pyrotechnic. It is not as if the world hadn’t provided ample warnings about the risks associated with irresponsible finance. History has centuries worth of such examples, but even looking at recent events over the last 25 years is illuminating.

In spite of Alan Greenspan acknowledging the “irrational exuberance” of the markets in 1996, stock market valuations continued to rise. The warning signs of unstable economies were believed to be localized and the broader markets decoupled from this turbulence. This was naïve thinking then and outright irresponsible now.

The idea that markets are uncertain, and consistent prediction is essentially impossible, is not new. John Maynard Keynes published a book on probability and uncertainty in 1921, with this concept of uncertain and irrational markets forming the basis of his general theory of financial markets. So, years before the stock market crash of 1929, and almost every 10 to 15 years afterward, the cycle of financial crashes and panics was predicted by a well-publicized thinker, and then, as is typical, ignored. The lesson is simple, and Keynes laid it out 100 years ago: markets seem rational but only during periods of stability. Markets are uncertain. Predictive models work most of the time, and that is their fundamental flaw. They will fail. Investment models that account for uncertainty and failure succeed in the long term.

Lessons from a Financial Blowup

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The Archegos implosion teaches the same lessons that apparently need to be taught over and over again.

1. High leverage eventually brings margin calls.
2. Margin calls equal disaster.
3. Margin calls come when too much leverage is attached to securities linked to market volatility.
4. All securities are linked to market volatility.
There is no such thing as uncorrelated assets anymore. Investment strategies founded on the belief that the securities held are somehow immune from previously “uncorrelated” volatility are anachronistic. Combine these investments with substantial leverage intended to enhance returns, and this strategy ends in disaster.

If it’s zero eventually, great quarterly performance is meaningless.

It’s risk-adjusted return, idiot.

Economics, Advanced Technology, and Social Media

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Fundamental drivers for pricing valuations in public markets have changed. Now, there is a new interaction among factors unseen just recently. Advanced technologies such as artificial intelligence have had a profound impact on the tools available and analysis presented to even the most amateurish investor. Social media, such as Reddit, Twitter, and other platforms, have allowed access to information and influence from media “stars” driving demand in an almost herd-like mentality driving up prices, and causing extreme volatility. Finally, technology has enabled a trading floor to be in everyone’s pocket. That same trading floor allows access to any information on anything from anywhere, and communication with anyone or, via social media, receive communication and information (regardless of how dubious) from anyone about any security or investment strategy.

These factors will cause unprecedented market volatility, along with extreme price movements for well-known (or perhaps more accurately, well-publicized) companies and their securities. While the supply of securities remains somewhat constant, demand for those securities is increasing (sometimes exponentially) because many more investors are now chasing those same securities.

The price of anything cannot escape supply and demand dynamics. Recent IPO activity is an attempt to meet growing demand (and raise capital at attractive prices). The new supply from IPO’s, secondary stock issuances, and most recently and monumentally, SPAC offerings, still do not provide enough supply to quench a growing and overwhelming demand. The valuations, especially those given to the SPAC’s, are entering stratospheric levels that could hardly be justified under normal market conditions. Successful investors are the ones who understand adding return without corresponding risk is the most critical component of successful investing, especially given the new equation for valuation:

Economics + Advanced Technologies + Social Media = Price

These three components are now inexorably linked and constitute an influential role in determining valuation from now on.

The More Things Change…

The pandemic has challenged many preconceived notions about the economy, markets, and public policy – and has impacted the way we live. But the inescapable truth remains unchanged:

There is no magic answer. No solution other than superior skill enables an investor to earn a high return safely and dependably. That is even more true in today’s low-interest rate, low return Tower of Babel world.

Time to Worry

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When Everything is Going Great, It Probably Isn’t.

Things can only get better from here… said the turkey the day before Thanksgiving. It’s challenging to know when it’s too late because things go badly gradually, then suddenly.

It might be time to start worrying about tech-stock valuations. Usually, all it takes is a few overly ebullient stock analysts to set off an alarm. When unreasonableness takes over (remember all those analysts’ reports from March 2000? The NASDAQ could only go up and all those internet funds were going to double again in 2001?). In March 2000, the bellwether for this nonsense was Henry Blodget’s recommendation of Amazon with a target price of $400.00 by March 2001 (at the time Amazon was trading for about $60.00 a share). Instead of being $400.00 in March 2001, Amazon’s price was $5.97 per share.

Long Term Value Means Long Term

Of course, Amazon has created an amazing business model and is fundamentally rewriting technology services and customer logistics. Trading at almost 100 times earnings the market believes there is much more growth and profitability to come. Really? Regardless of your perspective about that, Amazon is an example of investments that are either “don’t bother it’s ridiculous” or “never sell it’s ridiculous.”

The market may stay permanently irrational about companies like Amazon, or Amazon may catch up to the market’s irrationality. What should an investor do? The answer is simple – don’t play. By that I mean you either buy the stock and ride the tiger (which means you can never get off – or sell) or stay out of the jungle completely – don’t ever buy. Half measures rarely have good outcomes.

Amazon is exemplary. This tiger has rallied substantially since those woeful days in March 2001 to close above $3,200 per share in February 2021. So, even if you listened to the absurdity belched out in March 2000, and on paper, had substantial losses from your Amazon investment for several years, if you held on, you are brilliant and rich (more like lucky; but it’s smarter to be lucky than lucky to be smart). Don’t listen to the analysts and don’t get off.

Things Have Changed – Sort of

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The last few weeks highlighted the need to bring a new understanding of, and strategy for, investment risk. Volatility is increasing and occurring over a significantly compressed timeframe – for individual stocks and the overall market. Recent trading activity in GameStop, AMC, and a few other stocks demand an investment strategy focusing on Risk Adjusted Return. The new power of retail investors is here to stay, and that will shake up traditional portfolio managers because they are increasingly losing control of the trading process. Trading apps on platforms like Robinhood and social media chat rooms found on Reddit are game changers, fueling an unprecedented level of interest and activity (social media information is easily accessible and trading activity has very little friction – few, if any fees, and immediate). These two factors are irreversibly changing the market. In the past year, U.S. brokers added at least 10 million new retail trading accounts, and a shift to zero trading commissions late in 2019 unlocked a wave of activity that dwarfed even the wild days of the dot-com bubble. Beginning in early 2020, and coinciding with coronavirus lockdowns, trading activity started to surge and has not subsided, even as the economy has gradually reopened. Average daily trading at the biggest retail brokers hit a record of 6.6 million a day in December 2020. In January 2021, it reached 8.1 million. On January 27, 2021, equity volume was triple the average day in 2019.Retail investing has been a small fish trading in the large hedge fund and institutional pond. But that’s changing. Before the pandemic, retail trading made up about 15% of equity volume; now, it’s consistently making up more than 20%. The game changer is when that activity is concentrated on just a few stocks, a much more likely event among retail investors (driven by social media platforms), and it makes a substantial difference. In the case of GameStop and several other highly shorted stocks, it can cause startling price movements in a very short time.