When up is down

Nov 16, 2021Nicholas MitsakosInflation, Investment Strategy, Public Policy, The Marketinvestment strategy, investments, public policy, risk, valuation, volatility

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

Nov 16, 2021Nicholas MitsakosInflation, Investment Strategy, Prediction, The Marketinvestment strategy, investments, risk, valuation, volatility

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.

Lessons on inflation

Nov 6, 2021Nicholas MitsakosBook Chapter, Inflation, Investment Strategy, Public Policycentral banks, corruption, fiscal policy, government policy, inflation, investments, irresponsibility, risk, valuation, volatility

Central bank independence and fiscal responsibility matter, even though the Western world is acting as if these rules no longer apply. Well, perhaps. But the world has given us three examples where the consequences are extreme when these basic foundations of economic policy are ignored or violated.

Failures are not Failure

Oct 29, 2021Nicholas MitsakosBook Chapter, Investment Strategycreativity, failure, fortitude, innovation, risk, success, volatility

Failures are essential for success. The NASA flight director, Gene Kranz, who is famous for the Apollo 13 quote, “Failure is not an option” has been misunderstood. Mr. Kranz did not mean “don’t fail.” He meant was that there will be a solution, think boldly and courageously because, while the solution may not be obvious to you now, you will find it eventually.

Accepting failures is not accepting failure.

Failures – trial and error, unforeseen roadblocks, creative thinking, visions, and revisions that a minute will reverse – lead to insight, innovation, creativity, and unforeseen breakthroughs. That’s success.

Failure is when you stop.

Noise and Unpredictability

Aug 26, 2021Nicholas MitsakosBook Chapter, Investment Strategy, PredictionAnti-Fragile, china, data, data analysis, economic activity, economic growth, economic model, economic prediction, hedge, investment strategy, investments, lockdowns, Noise, pandemic, prediction, reliability, risk, risk analysis, risk management, Signal, stability, virus, volatility

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

Aug 26, 2021Nicholas MitsakosBook Chapter, Investment Strategy, PredictionAnalysis, demand, exchanges, financial markets, financial model, financial theory, first principles, investment strategy, investments, price, prices, risk, securities analysis, strategy, supply, systems, understanding, valuation, value, volatility

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.

Important and Unknowable

Jul 30, 2021Nicholas MitsakosBook Chapter, Investment Strategy, PredictionBitcoin, budget deficit, ethereum, federal reserve, inflation, investment strategy, investments, knowledge, Predictability, prediction, public policy, risk, stimulus, technology, Uncertainty, US Treasuries, valuation, volatility

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

May 17, 2021Nicholas MitsakosAdvanced Technology, Book Chapter, Investment StrategyBitcoin, cryptocurrencies, decentralized finance, digital asset, digital currency, Dogecoin, ether, ethereum, risk, speculation, volatility

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

May 4, 2021MitsakosBook Chapter, Investment StrategyAnti-Fragile, Asymmetric, concave, convex, expertise, risk, risk management, Uncertainty

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

Apr 13, 2021Nicholas MitsakosBook Chapter, Investment StrategyBlack Scholes, calls, credit default swaps, derivatives, financial crisis, irrationality, John Maynard Keynes, leverage, long-term capital management, markets, options, prediction, puts, risk, Uncertainty

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.

Nicholas Mitsakos

Executive, Entrepreneur, and Author