Many stock investors are too young to remember Black Monday in October 1987 —

Many regulatory reforms were instituted in the wake of the 1987 crash (as well as following other big subsequent drops, such as the so-called Flash Crash in May 2010). As a result, many investors have comforted themselves that another crash won’t happen.

That’s false comfort, according to research conducted by Xavier Gabaix, an economics professor at Harvard University. Two decades ago, along with three physicists at Boston College, he derived a formula that predicts the frequency of big daily changes over long periods of time. Though that frequency is low, it isn’t zero.

Read: This is the last chart investors need to see ahead of the ‘Black Monday’ market crash anniversary

Gabaix and his fellow researchers presented their research in December 2002 in the scientific journal Nature. To appreciate the model’s forecasting ability, consider that from that date until now — a period of 17.8 years — the formula would have predicted that there would be three days in which the market rose or fell by at least 10%. How many such days has the S&P 500
SPX,
-0.57%
 experienced since December 2002? Three.

This casts a different light on the huge volatility the stock market experienced in March 2020 as the stock market reacted to the COVID-19 pandemic — including the S&P 500’s 12% plunge last March 16. People’s natural reaction at the time was to focus on the historically unique and idiosyncratic causes of that crash. While understandable, this reaction also overlooked the reality that a drop of such magnitude was inevitable, sooner or later.

Since a 17.8-year period is not long enough to illustrate the predicted frequency of plunges as big as the 1987 Crash, the chart below focuses on the past century. Notice that the researchers’ model does an impressively good job of matching what actually happened.

To be sure, the researchers’ model doesn’t predict when these big daily market changes will take place. It instead specifies their frequency over long periods. So it’s entirely possible that Wall Street could go for decades without experiencing another crash like 1987’s, or suffer another one in the next year. The point of the model is that, when it does happen, we shouldn’t be surprised.

There’s a loose analogy here with pandemics. Scientists have been predicting for years that a pandemic was not a matter of if, but when. Yet, since the odds of a pandemic in any given year were so small, it was hard to get many people interested in planning for how to react when the inevitable came to pass. In retrospect, it’s clear that we all would have been well served by better planning.

The same goes for investing. It’s been more than 30 years since the 1987 Crash. People who belong to generations Y and Z were either not born at that time or not old enough to have any real memories of it. Most Gen Xers were not even out of college. No wonder it’s difficult to get most of us to spend much time imagining how we might arrange our portfolios to survive another crash.

In other words, today’s market is dominated by investors who are too young to remember the 1987 crash. I’m reminded of what Adam Smith, the pseudonymous author of the late 1960s classic book “The Money Game,” called a “kids’ market.” He used that phrase to refer to speculative bull markets in which the advisers and traders making the most money are those too young to remember prior crashes. “Memory can get in the way of such a jolly market,” Smith wrote. 

Smith described a friend of his on Wall Street called “The Great Winfield,” who exploited kids’ markets by only hiring investment managers who were not yet 30 years of age: “The strength of my kids is that they are too young to remember anything bad, and they are making so much money that they feel invincible. Now you know and I know that one day the orchestra will stop playing and the wind will rattle through the broken window panes, and the anticipation of this freezes [the rest of]…