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Does Market Timing Work?

Many investors prefer to live with false hope and wishful thinking that with the right timing, they too can strike it rich. It is easier to believe in something possible but implausible than to take a long hard look at evidence that may dash one’s hopes.

Does Market Timing Work?

Does Market Timing Work?

(August 2020 )


Many investors believe there may be a way to accurately predict when to buy and sell securities by studying the long-term historical performance of stocks. If it were possible to anticipate when unusually high or low returns might begin or end, an investor could conceivably earn higher returns by selling or buying securities at advantageous times. This is called “market timing.”

Although market timing is highly unlikely to produce long-term gains, there will always be success stories about investors who have racked up spectacular gains from short-term market predictions. The danger is the leap of logic that presumes that a positive market-timing result is caused by superior predictive ability rather than by random chance.

An overwhelming body of evidence points to the fact that a passive buy-and-hold, long-term approach to the market using low-cost index mutual funds produces superior long-term results. Why then do so many investors continue to believe that market timing is a viable strategy?

One reason is that it is promoted heavily by active investment advisors and Wall Street pundits. The multi-billion dollar investment industry requires clients to believe the illusion that it is possible to successfully identify and profit from market trends. This business model generates hefty fees from a false promise as it actively works against clients’ prospects for long-term portfolio growth.

The financial media reinforces the misconception that market timing is a viable strategy by lavishing attention on the success stories of investment gurus who made the right moves at the right time. These stories fuel the hopes of investors who believe they can achieve higher returns without incurring higher risk. Investors would be wise to search for facts that support their beliefs. But they’d have to look hard to find those facts in the financial media, which rarely report the string of failures and market miscalculations of yesterday’s so-called brilliant forecasters. And the big names of the financial industry are incredibly good at marketing and protecting their reputations through movies, books, speaking engagements, and rosters of high profile clients.

Consider the likes of Joseph Granville, Robert Prechter, Elaine Garzarelli, Abby Joseph Cohen, John Paulson, David Einhorn, Steve Eisman, Bill Ackman and Ray Dalio. Each of these forecasters captured the attention of investors after a series of spectacular and exceptionally accurate market calls, earning windfalls for themselves and their followers. From there, they went on to promote their money-making ability in the media and at seminars and conferences, and later through tweets and Ted Talks. Their fame and name-recognition enabled them to raise billions from new investors via mutual funds, hedge funds and more recently, special purpose vehicles. Yet investors who jumped on the bandwagon expecting equally spectacular results were often left holding a bag of disappointing, subpar returns.

It’s a distressingly familiar story. Granville was a widely followed market forecaster who told investors to “sell everything” on January 6, 1981. They did, and worldwide markets tumbled. But his subsequent predictions caused investors to miss the stampeding bull market that followed a few years later. After a short string of prescient calls, Prechter’s advice caused his followers to miss out on the ‘90s bull market. Garzarelli correctly called the 1987 crash but all her “indicators” missed the subsequent recovery. Ditto for Abby Joseph Cohen, who forecast the 1987 decline but failed to anticipate the decline of the early 2000s. The list goes on. Steve Eisman, made famous in “The Big Short” by Michael Lewis, followed his home-run call with a string of underperforming funds. Einhorn famously shorted Lehman Brothers, but his Greenlight Capital fund has been a lousy performer. John Paulson correctly predicted the collapse of the housing bubble, and his hedge fund make $20 billion on the trade between 2007 and 2009. After running into repeated difficulties in recent years, he quietly announced in June 2020 that he will convert his hedge fund into a private investment firm that will manage only his family’s money. And is anyone more in the news than Ray Dalio of Bridgewater Associates? Maybe you know his book, “Principles.” But you may not know that his flagship fund has lagged peers since 2012. It even declined in 2019 when the market soared 30%. Here’s the real story: for financial superstars, carefully cultivated reputations and media appearances trump actual performance. These people are often one-hit wonders.

Investors would do better to take off their blinders and examine why market timing is a hollow strategy. Tp put it directly, market timing simply is not a reliably predictive tool. To get it right, one would have to identify precise turning points in the market before they occur, in order to profit from short-term events and avoid downturns. This would require perfect foresight and skillfully timed executions. Yes, investors may say, but sometimes it works, right? Yes, sometimes market timing schemes work, but investment fees, taxes and human emotion work against their long-term success. Still, it is easier for many investors to believe in something that is impossible but plausible than to take a hard look at evidence that may dash their hopes.

Consider that a naive buy-and-hold strategy using a portfolio consisting of all stocks in a broad stock market index has provided investors with an average annual return of over 10% over the past 100 years. Only if market timing schemes produce better returns than the market can they be judged effective. And to date, not one has passed that test. Sometimes guesswork and predictions work but long-term gains from market timing are highly unlikely.

Long-term buy and hold index fund investing is the opposite of market timing. It makes no false promises and eschews guesswork. It is based on proven financial theory and data from more than a century of investment results. Index fund investing will reap the rewards of the market through up and down cycles. Sometimes those rewards will be explosively positive, and sometimes the down cycles will arrive with a vengeance. But the index-fund investor understands that it is much smarter to remain invested throughout all market cycles.

Let’s consider one 39-year period to see why the index investor has a huge strategic advantage over the market timer. Missing the best 25 trading days between January 1970 and December 2009 would have slashed S&P 500 Index returns from 9.87% to 6.01%. Looked at another way, missing the best 25 days out of 10,000 trading days in those 39 years would have eliminated 39% of gains compared to simply buying and holding the S&P 500 Index without interruption.

Further, the best days to be in the market often follow disastrous stock sell-offs, precisely when timers’ money is on the sidelines. Twelve of the 25 best trading days of the aforementioned 39-year period occurred between September 2008 and March 2009, a period in which the S&P 500 fell 37.7%. Market-timers who had retreated would have missed these spectacular rebounds. We saw evidence of this again in March and April 2020.

Testing Mean-Reversion Rules

Let’s dig deeper into why market timing is an impossibility. Several large studies have examined whether there are patterns of market behavior that would make it a reliable tool for maximizing gains and minimizing losses. If patterns could be recognized, they could be exploited by all investors with access to the right data.

Mean reversion is the idea that higher-than-average returns will be followed by lower-than-average returns (and vice versa). In other words, the price of a security will revert back to the mean over time. Higher-than-average and lower-than-average prices can be predictive trends for market timers, who consider the relationship between the current price and the moving average of past price movements. (The moving average is the arithmetic average of any given number of past closing prices of a stock or index.) By focusing on this data, timers believe they can identify a market trend without being distracted by day-to-day price volatility.

But what does mean reversion look like in the real world? Should a pattern be visible over three years? Five years? Does the mean itself remain fixed over time? What should the magnitude of the pattern look like? If a pattern’s distinctive formation in time and space is small, changing the composition of a portfolio might not provide much benefit to an investor. But if investors could anticipate that returns are likely to turn negative by a large amount, they could potentially avoid periods of underperformance. The challenge, then, is to find evidence of mean-reverting patterns using real world data. This evidence must be strong enough to support a consistent, profitable trading strategy. It should demonstrate what mean reversion looks like in terms of magnitude and/or timing.

Jim Davis of Dimensional Funds studied mean reversion by examining premiums associated with the market, size, value and profitability of companies in 15 stock markets around the world, including the US. He then tested several different trading rules on this data set. “Moving average” rules look for high average premiums followed by low average premiums. “Run space” rules examine what happens after a premium has been positive for several years in a row. After running data sets on multiple rules, Davis ended up with 780 test results.

The sheer number of tests meant that some positive results were likely to show up simply by random chance. For instance, if 5000 people repeatedly flip a coin, we would expect about five of them to flip 10 heads in a row by random chance. In a similar way, some of the trading rules produced strongly positive returns. But that doesn't mean that they would continue to do so in the future.

Looking at the results for each trading rule, Davis calculated an excess return, which is the extra return that the rule generated above a strategy that maintained a consistent focus on the premium. The majority of the excess returns were negative. Of the minority that were positive, many were fairly small. However, a small number of test results produced large excess returns. Davis hypothesized that there may be a couple of reasons for these positive results.

The first is the fact that he ran so many tests. The second is that in several cases, the high return was due to a single year of data. When trading results are due to a single year, it doesn't create confidence that similar returns will persist into the future.

What can we conclude from the Davis study? First, we cannot rule out the existence of mean reversion from 780 tests, but these tests show no evidence that it can produce consistently profitable trading strategies. Long-term gains from market timing are highly unlikely, but short-term gains can sometimes show up. Statistically this is what we’d expect. Over any given period of time, some investors do very well while others do poorly; there is always a wide dispersion of investor experiences. But based on the Davis study, the presumption that a better experience is due to superior market timing would be an error in logic.

This leads us to another study that gets to the heart of why market timing is unreliable as a predictive strategy.

The Problem with Market Timing

In a classic research paper on stock market timing published in the late 1980s, Trinity Investment Management studied 9 peak-to-peak market cycles. The first cycle began on May 29, 1946 and the last cycle ended August 25, 1987. This study remains relevant today because it reveals the mind-twisting impossibility of predicting when bull and bear markets will begin and end, not to mention which parts of each market cycle will be most profitable.

Trinity observed the following:

  • Over all cycles between 1946 and 1987, there were approximately 1.7 times as many up months (309) as down months (187).

  • The average bull market was up 104.8 percent, while the average bear market dropped negative -28 percent.

  • Bull markets lasted nearly three times as long as bear markets; 41 months for the up months versus 14 months for the down months. Yet even within the bear markets, on average, the market was up in 3 to 4 months out of every 10.

  • During the bull markets, on average, 8 months (out of the 41-month average duration) accounted for more than 60 percent of the total return achieved.

There are some important takeaways from this study. First, the average advance in a bull market is more than sufficient to regain the ground lost during a bear market. Second, bear markets are only knowable in the rear-view mirror. This is reinforced by the fact that 3 or 4 months out of 10 were up months, even during a bear market.

This study demonstrates that superior returns from investing in stocks don’t accrue in a uniform or predictable manner, but in sudden bursts. These positive surges often occur when pessimism is running high. That's consistent with expectations that market bottoms are reached when investors are most pessimistic. At that point, there’s nowhere to go but up. That said, turning points—including the greatest optimism or deepest pessimism—can’t be predicted. They can only be observed retrospectively.

Should You Try to Time the Market?

Again, to circle back to points made earlier in this article, the central problem with market timing is that it based on guesswork and predictions. A disproportionate percentage of total gains from a bull market occur very rapidly at the beginning of a market recovery—but we cannot know when that will be. If a market timer is on the sidelines in cash during this critical time, he or she may miss the best opportunity for large gains.

We will never stop hearing news of market timers who made the right moves, at just the right time. We will read of those who predicted this or that bull or bear market. Some will be proven correct, or partly correct, in retrospect. Many will be wrong. The fact that financial news sources flood us with predictions—particularly during turbulent times—highlights our deep desire for direction and certainty. Who doesn’t wish for a way to take full advantage of a bull market, while avoiding the pain of a bear market?

Yet all the evidence points to the impossibility of successfully timing the market. This doesn’t stop many investors from clinging to false hope. To repeat a point made earlier: for some investors, it’s easier believe in something that’s impossible but plausible than in evidence that dashes their hopes.

To face the question of whether market timing is possible forces investors to acknowledge that they really have just two choices. The first is to periodically face the pain and uncertainty of a bear market. The second is to forego investing in common stocks altogether, thereby sacrificing the possibility of real capital growth over the long-term.

There is no middle ground. Risk and reward cannot be separated. For the buy-and-hold passive and index fund investor, risk is addressed in the process of asset allocation, not in guesswork about market timing. Paradoxically, only by embracing risk can superior long-term results be achieved. Achieving long-term goals is not the result of market timing, but of establishing and adhering to proven investment strategy.

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This article pulls from books and articles. References include:

1. Asset Allocation: Balancing Financial Risk, Roger Gibson, McGraw Hill
2. Winning the Loser's Game: Timeless Strategies for Successful Investing, Charles D. Ellis, McGraw Hill
3. Stocks for the Long Run, Jeremy J. Siegel, McGraw Hill
4. A Random Walk Down Wall Street, Burton G. Malkiel, W. W. Norton & Company
5. Can You Predict a Good Time to Buy and Sell Stocks?, Jim Davis, Dimensional Fund Advisors LP


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