Hirshleifer's research areas include the modeling of
social influence, theoretical and empirical
asset pricing, and
corporate finance. He is the originator of the theory of
information cascades, and has modeled
investor psychology and its effects on security market under- and over-reactions. His scholarly work on cascades has also received attention from popular economics, with references in both mainstream business and economics media. He is a contributor to the fields of
behavioral economics and
behavioral finance. Much of his work on investor psychology has focused on the effects of biased self-attribution, overconfidence, and limited attention. He and his co-authors were awarded the 1999
Smith Breeden Award for research showing how investor overconfidence, in combination with biased self-attribution, can explain the short-run
momentum (finance) and long-run reversal patterns found the returns of many stock markets. More recent work has shown how investor overconfidence may also help explain the forward premium puzzle in foreign exchange markets . In his work on limited attention, he has shown that both distracting events and lack of attention to relevant information can help explain important accounting anomalies such as
post earnings announcement drift Hirshleifer's research has taken several approaches to show that stock returns are not exclusively based on relevant financial information, but also incorporate factors such as investors' mood and superstitions. His paper "Good Day Sunshine: Stock Returns and the Weather," found abnormally high returns in the
New York Stock Exchange composite on days that it was abnormally sunny in the New York city area. His research on the Chinese
initial public offering market has provided evidence that Chinese companies which contain listing code numbers considered lucky in Chinese culture are initially priced much higher than financially similar Chinese firms debuting with unlucky numbers in their listing codes. In addition to investor psychology, Hirshleifer also examines behavior of different parties in financial market. His work with Usman Ali developed a method to identify insider tradings for a firm, which can be used to predict this firm's opportunistic behavior such as earnings management, restatements, SEC enforcement actions, shareholder litigation, and executive compensation. This paper is later reported by Justin Lahart on Wall Street Journal. His research, "Psychological Bias as a Driver of Financial Regulations", argued that regulator psychology plays an important role in financial markets. This research has garnered attention as the
F2008 financial crisis led to greater a scrutiny about the process of setting
financial regulation. ==Books==