Financial markets are imbalanced and lack liquidity in crucial sectors, even historically stable and predictable markets such as the global bond and currency markets. Investments are slanted in one direction more frequently and the markets are vulnerable to big price swings as a result. These large global markets are not immune to ever more lopsided trades creating extreme volatility. This occurs even when a small change occurs in positions, sentiment, or news. Even the world’s most liquid markets, US dollar currency trades and US Treasuries, are seeing skewed positioning resulting in surprisingly large shifts in prices and Treasury bond yields.
The market now leans too far one way or the other, and that imbalance will be forced to reverse more powerfully and unpredictably.
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.
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.
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.
S&P 500 stock market values are experiencing the same volatility as the first half of 2020, the start of the Covid-19 pandemic (based on the 50 largest value movements as a percentage of the index’s total market value). These dramatic movements show that market volatility leads to big price movements in stocks, both up and down. There are a couple of factors combining to enhance this turbulence: The popularity of the momentum trade (buying stocks that are rising quickly and dump the relative losers quickly). Decreasing liquidity (fewer buyers and sellers for the other side of trades). Both factors magnify the market’s moves in either direction.
