From 1998: Understanding Investor Sentiment (2024)

What happens when important news hits the financial markets? Suppose a company reports earnings much higher than expected or announces a big acquisition. Traders and investors rush to digest the information and push stock prices to a level they think is consistent with what they have heard. But do they get it right? Do they react properly to the news they receive? Recent evidence suggests investors make systematic errors in processing new information that may be profitably exploited by others.

In a 1997 paper, “A Model of Investor Sentiment,” University of Chicago Graduate School of Business assistant professor of finance Nicholas Barberisand finance professor Robert W. Vishny, along with former Chicago faculty member Andrei Shleifer of Harvard University, argue that there is evidence that in some cases investors react too little to news, and that in other cases, they react too much.

The authors then propose a model, based on ideas from psychology, of how investors make mistakes when they process new information.

The evidence the authors discuss presents a challenge to the efficient markets theory -- the theory that information is immediately and accurately reflected in a share's price -- and suggests that in a variety of markets, sophisticated investors can earn superior returns by taking advantage of underreaction and overreaction without bearing extra risk.

Investor Overreaction

In an important paper published in 1985, Werner De Bondt of the University of Wisconsin and Richard Thaler of the University of Chicago Graduate School of Business discovered what they claimed was evidence that investors overreact to news. Analyzing data dating back to 1933, De Bondt and Thaler found that stocks with extremely poor returns over the previous 5 years subsequently dramatically outperform stocks with extremely high previous returns, even after making the standard risk adjustments. Later work corroborated these findings.

“In other words,” says Barberis, “if an investor ranks thousands of stocks based on how well they did over the past three to five years, he or she can then make a category for the biggest `losers,' the stocks that performed badly, and another for the biggest `winners.' What you will find is that the group of the biggest losers will actually do very well on average over the next few years. So it is a good strategy to buy these previous losers or undervalued stocks.”

How might investor overreaction explain these findings?

Suppose that a company announces good news over a period of three to five years, such as earnings reports that are consistently above expectations. It is possible that investors overreact to such news and become excessively optimistic about the company's prospects, pushing its stock price to unnaturally high levels. In the subsequent years, however, investors realize they were unduly optimistic about the business and the stock price will correct itself downwards.

In a similar way, loser stocks may simply be stocks that investors have become excessively pessimistic about. As the misperception is corrected, these stocks earn high returns.

Investor Underreaction

The authors believe that investors sometimes also make the mistake of underreacting to certain types of financial news.

Suppose a company announces quarterly earnings that are substantially higher than expected. The evidence suggests that investors see this as good news and send the stock price higher, but for some reason, not high enough. Over the next six months, this mistake is gradually corrected as the stock price slowly drifts upwards towards the level it should have attained at the time of the announcement. Investors who buy the stock immediately after the announcement will benefit from this upward drift and enjoy higher returns.

The same underreaction principle applies to bad news. If bad news is announced -- like if a company announces it is cutting its dividend -- then the stock price will fall. However, it does not fall enough at the time of the announcement and instead continues to drift downwards for several months.

In both cases, when investors are faced with either good or bad announcements, they initially underreact to this news and only gradually incorporate its full import into the stock price. This signals an inefficient market.

So what strategy should smart investors adopt? In the long run, it is better to invest in value stocks, stocks with low valuations (overreaction theory); but in the short run, the best predictor of returns in the next 6 months is returns over the last 6 months (underreaction theory).

“In the short run, you want to buy relative strength,” explains Vishny. “This might seem contradictory, but we can explain how both of those facts might be true using some basic psychology and building that into a model for how people form their expectations for future earnings.”

Psychological Evidence

In the new field of behavioral finance, researchers seek to understand whether aspects of human behavior and psychology might influence the way prices are set in financial markets.

“Our idea is that these market anomalies -- underreaction and overreaction -- are the results of investors' mistakes,” says Vishny. “In this paper, we present a model of investor sentiment -- that is, of how investors form beliefs -- that is consistent with the empirical findings.”

In explaining investor behavior, the authors' model is consistent with two important psychological theories: the “representative heuristic” and “conservatism.”

The representative heuristic refers to the fact that people tend to see patterns in random sequences. Certainly it would be to an investor's advantage to see patterns in financial data, if they were really there. Unfortunately, investors are often too quick to see patterns that aren't genuine features of the data.

In reality, long-run changes in company earnings follow a fairly random pattern. However, when people see a company's earnings go up several years in a row, they believe they have spotted a trend and think that it is going to continue. Such excessive optimism pushes prices too high and produces effects which support the authors' theory of overreaction.

There are also well-known biases in human information processing that would predict underreaction to new pieces of information. One such bias, conservatism, states that once individuals have formed an impression, they are slow to change that impression in the face of new evidence. This corresponds directly to underreaction to news. Investors remain skeptical about new information and only gradually update their views.

A Matter of Efficiency

The authors note that while such links between psychology and finance sound plausible to many, a substantial proportion of the academic finance community views them with considerable skepticism.

“The preceding evidence is puzzling for those who believe the stock market is efficient,” says Barberis, “because it appears to suggest quite profitable investment strategies that verge on being `free lunches' even after taking transaction costs into account.”

Efficient markets theorists would explain that investing in the loser (value) stocks produces higher returns simply because there is more risk in the investment for which investors must be compensated.

“We are taking the alternative approach, saying that perhaps there isn't any increased risk, and the underreaction and overreaction phenomena can be explained by genuine mistakes that people are making,” says Barberis. “We look to the psychology literature to explain these mistakes and illustrate how they generate the findings in the data.”

While researchers in behavioral finance continue to develop advanced models of the interplay of psychology and finance, proponents of efficient markets will continue to probe the relationships between risk and return. The debate is far from over.

From 1998: Understanding Investor Sentiment (2024)

FAQs

What is the investor sentiment theory? ›

Investor sentiment, defined broadly, is a belief about future cash flows and investment risks that is not justified by the facts at hand. The question is no longer whether investor sentiment affects stock prices, but how to measure investor sentiment and quantify its effects.

What happened to the stock market in 1998? ›

August 31, 1998

After weeks of decline, Wall Street is overwhelmed by the turmoil in Russia and world markets. The Dow Industrial average plunges 512 points, the second-worst point loss in the Dow's history.

What is investor sentiment right now? ›

US Investor Sentiment, % Bullish is at 32.13%, compared to 38.27% last week and 27.22% last year. This is lower than the long term average of 37.60%.

What is an example of investor sentiment? ›

What is investor sentiment? The general mood among investors regarding a particular market or asset. You can gauge investor sentiment by reviewing the trading activity and direction of prices within a particular market. For example, rising prices would point to positive investor sentiment.

Why is investor sentiment important? ›

Many investors profit by buying stocks that are wrongly valued due to market sentiment. They use several indicators to measure market sentiment to help them determine the best stocks to trade, including the CBOE Volatility Index (VIX), the high-low index, the bullish percent index (BPI), and moving averages.

How does investor sentiment affect the stock market? ›

The Turn is proposed to increase when the sentiment of investors is strong, and it is proposed to decrease when the sentiment is weak, and it is a positive IS proxy (Baker & Wurgler, 2006). The low Turn is generally followed by a price decrease, while the high Turn is preceded by a price rise (Ying, 1966).

What happened to the economy in 1998? ›

As measured by real U.S. GDP, the economy grew a robust 3.9 percent during 1998, matching its 1997 performance (see Figure 1). This was a much stronger performance than economists were predicting a year ago.

What caused the 1988 stock market crash? ›

A number of factors contributed to the crash: Economic growth slowed in the first three quarters of 1987 and inflation was rising. Given the recent stagflation experience from the 1970s, investors were jittery. The stock market had declined nearly 10% the week prior to Black Monday which added to investors' fears.

What is the return of the stock market since 1998? ›

Stock market returns between 1998 and 2023

If you invested $100 in the S&P 500 at the beginning of 1998, you would have about $741.79 at the end of 2023, assuming you reinvested all dividends. This is a return on investment of 641.79%, or 8.12% per year.

What is another word for investor sentiment? ›

The term market sentiment, also known as investor sentiment, refers to the general outlook or attitude of investors toward a particular security or the overall financial market.

What is the best sentiment indicator? ›

There are several sentiment indicators used in forex trading, such as the Commitment of Traders (COT) report, the Fear and Greed Index, and the VIX volatility index. However, the most widely used and considered to be the most accurate sentiment indicator is the Speculative Sentiment Index (SSI).

Does investor sentiment affect stock price crash risk? ›

There is a significant positive relationship between firm-specific investor sentiment and stock price crash risk.

How do you trade with sentiment? ›

The easiest and most obvious way to trade with sentiment is when it aligns with the overall fundamental picture of an asset or market. Let's say the fundamentals are positive while sentiment is also positive.

What is the relationship between investor sentiment and stock returns? ›

Many scholars further conclude that the interrelation between investor sentiment and the returns of stocks depends on time, which means that the effects in short period and long period are different. Studies indicate that the influence is positive in short period but shows a negative pattern in long period [21, 22].

How to find investor sentiment? ›

Market sentiment is demonstrated through price movements of the security in question. If prices are on the rise, then this is indicative of a bullish market. Whereas prices on the decline point toward bearish sentiment. Sentiment will differ depending on the market, and in some cases often correlate with one another.

What is the sentiment analysis theory? ›

Sentiment analysis is the process of detecting positive or negative sentiment in text. It's often used by businesses to detect sentiment in social data, gauge brand reputation, and understand customers.

What is sentiment analysis in investing? ›

Sentiment trading or sentiment analysis is a method that some traders use to try to gain an advantage about what to buy or sell, by reading the signals about how other investors are feeling about a particular market or stock.

What is sentiment analysis in investment? ›

Sentiment analysis applies algorithms to news articles, social media, and other data sources to gauge how people feel about the market, while behavioral economics identifies the cognitive biases that affect decision making. Sentiment analysis can help illuminate how these biases manifest in the financial markets.

What are the determinants of investor sentiment? ›

This work finds that Managerial and Investor Sentiment are determined by differing sets of economic variables, that share some common factors: inflation, liquidity and the term premium.

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