[This article originally ran on September 20, 1999.]
The topic I'd like to discuss today is behavioral finance, which examines how people's emotions affect their investment decisions and performance. This area has critical implications for investing; in fact, I believe it is far more important in determining investment success (or lack thereof) than an investor's intellect. Warren Buffett agrees: "Success in investing doesn't correlate with IQ once you're above the level of 25. Once you have ordinary intelligence, what you need is the temperament to control the urges that get other people into trouble in investing."
Numerous studies have shown that human beings are extraordinarily irrational about money. There are many explanations why, but the one I tend to give the most weight to is that humans just aren't "wired" properly. After all, homo sapiens have existed for approximately two million years, and those that survived tended to be the ones that evidenced herding behavior and fled at the first signs of danger -- characteristics that do not lend themselves well to successful investing. In contrast, modern finance theory and capital markets have existed for only 40 years or so. Placing human history on a 24-hour scale, that's less than two seconds. What have you learned in the past two seconds?
People make dozens of common mistakes, including:
- Herding behavior, driven by a desire to be part of the crowd or an assumption that the crowd is omniscient;
- Using mental accounting to treat some money (such as gambling winnings or an unexpected bonus) differently than other money;
- Excessive aversion to loss;
- Fear of change, resulting in an excessive bias for the status quo;
- Fear of making an incorrect decision and feeling stupid;
- Failing to act due to an abundance of attractive options;
- Ignoring important data points and focusing excessively on less important ones;
- "Anchoring" on irrelevant data;
- Overestimating the likelihood of certain events based on very memorable data or experiences;
- After finding out whether or not an event occurred, overestimating the degree to which they would have predicted the correct outcome;
- Allowing an overabundance of short-term information to cloud long-term judgments;
- Drawing conclusions from a limited sample size;
- Reluctance to admit mistakes;
- Believing that their investment success is due to their wisdom rather than a rising market;
- Failing to accurately assess their investment time horizon;
- A tendency to seek only information that confirms their opinions or decisions;
- Failing to recognize the large cumulative impact of small amounts over time;
- Forgetting the powerful tendency of regression to the mean;
- Confusing familiarity with knowledge;
This is a vast topic, so for now I will focus on overconfidence. In general, an abundance of confidence is a wonderful thing. It gives us higher motivation, persistence, energy, and optimism, and can allow us to accomplish things that we otherwise might not have even undertaken. Confidence also contributes a great deal to happiness. As one author writes (in an example that resonated with me, given the age of my daughters), "Who wants to read their children a bedtime story whose main character is a train that says, 'I doubt I can, I doubt I can'?"
But humans are not just robustly confident -- they are wildly overconfident. Consider the following:
- 82% of people say they are in the top 30% of safe drivers;
- 86% of my Harvard Business School classmates say they are better looking than their classmates (would you expect anything less from Harvard graduates?);
- 68% of lawyers in civil cases believe that their side will prevail;
- Doctors consistently overestimate their ability to detect certain diseases (think about this one the next time you're wondering whether to get a second opinion);
- 81% of new business owners think their business has at least a 70% chance of success, but only 39% think any business like theirs would be likely to succeed;
- Graduate students were asked to estimate the time it would take them to finish their thesis under three scenarios: best case, expected, and worst case. The average guesses were 27.4 days, 33.9 days, and 48.6 days, respectively. The actual average turned out to be 55.5 days.
- Mutual fund managers, analysts, and business executives at a conference were asked to write down how much money they would have at retirement and how much the average person in the room would have. The average figures were $5 million and $2.6 million, respectively. The professor who asked the question said that, regardless of the audience, the ratio is always approximately 2:1.
Perhaps more surprising than the degree of overconfidence itself is that overconfidence doesn't seem to decline over time. After all, one would think that experience would lead people to become more realistic about their capabilities, especially in an area such as investing, where results can be calculated precisely. Part of the explanation is that people often forget failures and, even if they don't, tend to focus primarily on the future, not the past. But the main reason is that people generally remember failures very differently from successes. Successes were due to one's own wisdom and ability, while failures were due to forces beyond one's control. Thus, people believe that with a little better luck or fine-tuning, the outcome will be much better next time.
You might be saying to yourself, "Ah, those silly, overconfident people. Good thing I'm not that way." Let's see. Quick! How do you pronounce the capital of Kentucky: "Loo-ee-ville" or "Loo-iss-ville"? Now, how much would you bet that you know the correct answer to the question: $5, $50, or $500? Here's another test: Give high and low estimates for the average weight of an empty Boeing 747 aircraft. Choose numbers far enough apart to be 90% certain that the true answer lies somewhere in between. Similarly, give a 90% confidence interval for the diameter of the moon. No cheating! Write down your answers and I'll come back to this in a moment.
So people are overconfident. So what? If healthy confidence is good, why isn't overconfidence better? In some areas -- say, being a world-class athlete -- overconfidence in fact might be beneficial. But when it comes to financial matters, it most certainly is not. Overconfidence often leads people to:
- Be badly prepared for the future. For example, 83% of parents with children under 18 said that they have a financial plan and 75% expressed confidence about their long-term financial well-being. Yet fewer than half of these people were saving for their children's education and fewer than 10% had financial plans that addressed basic issues such as investments, budgeting, insurance, savings, wills, etc.
- Trade stocks excessively. In Odean and Barber's landmark study of 78,000 individual investors' accounts at a large discount brokerage from 1991-1996, the average annual turnover was 80% (slightly less than the 84% average for mutual funds). The least active quintile, with average annual turnover of 1%, had 17.5% annual returns, beating the S&P, which was up 16.9% annually during this period. But the most active 20% of investors, with average turnover of more than 9% monthly, had pre-tax returns of 10% annually. The authors of the study rightly conclude that "trading is hazardous to your wealth." Incidentally, I suspect that the number of hyperactive traders has increased dramatically, given the number of investors flocking to online brokerages. Odean and Barber have done another fascinating study showing that investors who switch to online trading suffer significantly lower returns. They conclude this study with another provocative quote: "Trigger-happy investors are prone to shooting themselves in the foot."
- Believe they can be above-average stock pickers, when there is little evidence to support this belief. The study cited above showed that, after trading costs (but before taxes), the average investor underperformed the market by approximately two percentage points per year.
- Believe they can pick mutual funds that will deliver superior future performance. The market-trailing performance of the average mutual fund is proof that most people fail in this endeavor. Worse yet, investors tend to trade in and out of mutual funds at the worst possible time as they chase performance. Consider that from 1984 through 1995, the average stock mutual fund posted a yearly return of 12.3% (versus 15.4% for the S&P), yet the average investor in a stock mutual fund earned 6.3%. That means that over these 12 years, the average mutual fund investor would have made nearly twice as much money by simply buying and holding the average mutual fund, and nearly three times as much by buying and holding an S&P 500 Index fund. Factoring in taxes would make the differences even more dramatic. Ouch!
- Have insufficiently diversified investment portfolios.
In tests like this, securities analysts and money managers are among the most overconfident. I'm not surprised, given my observation that people who go into this business tend to have a very high degree of confidence. Yet ironically, it is precisely the opposite -- a great deal of humility -- that is the key to investment success.
P.S. If you wish to read further on the topic of behavioral economics, I recommend the following (I have drawn on heavily on the first two in this column):
- Why Smart People Make Big Money Mistakes, by Gary Belsky and Thomas Gilovich.
- In May and June this year, David Gardner wrote four excellent columns in The Motley Fool's Rule Breaker Portfolio: The Psychology of Investing, What's My Anchor?, Tails-Tails-Tails-Tails, and The Rear-View Mirror.
- There's a great article about one of the leading scholars in the field of behavioral finance, Terrance Odean (whose studies I linked to above), in a recent issue of U.S. News & World Report: "Accidental Economist"
- The Winner's Curse, by Richard Thaller.
- The Undiscovered Managers website has links to the writings of Odean and many other scholars in this area.