Predictability and Panic

Prepare for more frequent and extreme volatility. New and powerful influences, ranging from social media and financial technology to algorithmic trading and esoteric valuation models, will increasingly upset market stability and bring unprecedented rewards and unpredictable disaster.

Predictable market conditions will be upset by sudden unpredictable movements.

Financial markets can be predicted reliably only when the world does not change. Even during periods of stability, judgment based on expectations and assumptions as much as hard facts and economic analysis, form the basis for buying and selling decisions. Market crashes and financial crises are a continuing and breathtaking reminder that markets are irrational and uncertain. Taken to an extreme, the combustible combination disrupts global markets and societies. New analytical tools and technologies appear to make worrying about unforeseen risks obsolete. But this naïve belief in technology’s ability to understand and predict catastrophic risk is a fundamental cause of that very catastrophe.

Stability is illusory because in an uncertain world, unforeseen changes can have seismic effects. The pandemic is only the latest example, but there are always greater risks inherent in markets than is acknowledged, and most investment strategies do not accurately reflect the risk that certain investments are assuming for a given return. Safety can be an illusion if the risks are not well understood, both systemic and undiversified.

As we have seen, oversight, regulation, or any sort of self-imposed moderation will continue to be ineffective or nonexistent, and always trail behind the most dangerous and detrimental market developments. Financial weapons of mass destruction continue to multiply and are now available via smart phone in everyone’s pocket. Expect more and greater turbulence.

Predictability and Panic

Prepare for more frequent and extreme volatility. New and powerful influences, ranging from social media and financial technology to algorithmic trading and esoteric valuation models, will increasingly upset market stability and bring unprecedented rewards and unpredictable disaster.

Predictable market conditions will be upset by sudden unpredictable movements.

Financial markets can be predicted reliably only when the world does not change.

Even during periods of stability, judgment based on expectations and assumptions as much as hard facts and economic analysis, form the basis for buying and selling decisions. Market crashes and financial crises are a continuing and breathtaking reminder that markets are irrational and uncertain. Taken to an extreme, the combustible combination disrupts global markets and societies.

Uncertainty and Irrationality

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.