We find that investors react more favorably to corporate announcements of share repurchases, SEOs, earnings, dividend changes, and acquisitions if the announcement is made immediately prior to or on holidays. These announcements are associated with more positive reactions for favorable events and less negative reactions for unfavorable events. This effect is robust to controls for market conditions and a selection bias, is accompanied by subsequent reversals, and is present in several international markets. Our findings suggest that predictable individual mood changes can cause biases in market reactions to firm-specific news.

Existing research has found cross-sectional seasonality of stock returns—the periodic out- performance of certain stocks during the same calendar months or weekdays. We hypoth- esize that assets’ different sensitivities to investor mood explain these effects and imply other seasonalities. Consistent with our hypotheses, relative performance across individ- ual stocks or portfolios during past high or low mood months and weekdays tends to recur in periods with congruent mood and reverse in periods with noncongruent mood. Furthermore, assets with higher sensitivities to aggregate mood—higher mood betas— subsequently earn higher returns during ascending mood periods and earn lower returns during descending mood periods.

Using data from 11 major international markets that celebrate six cultural New Year holidays that do not occur on January 1, we find that stock markets tend to outperform in days surrounding a cultural New Year. After controlling for firm characteristics, an average stock earns 2.5% higher abnormal returns across all markets in the month of a cultural New Year relative to other months of the year. Further evidence suggests that positive holiday moods, in conjunction with cash infusions prior to a cultural New Year, produce elevated stock prices, particularly among those stocks most preferred and traded by individual investors.

This study explores the role of sentiment in predicting future stock return volatility in the Chinese A-share market. Specifically, we conduct a composite sentiment index capturing both investor and manager sentiment. The former is measured by overnight returns, and the latter is measured by a textual tone based on the information in the Management Discussion and Analysis section of the annual reports. Empirically, we find that the composite index is positively associated with subsequent stock realized volatility and the result remains robust after controlling for a set of firm characteristics and state ownership. Besides, the result also shows that investor attention can help dissect the sentiment—volatility relation.

This paper examines the effects of superstitious psychology on investors’ decision making in the context of Mercury retrograde, a special astronomical phenomenon meaning “everything going wrong”. Using natural experiments in the Chinese stock market, we find a significant decline in stock prices, approximately -3.14% in the vicinity of Mercury retrogrades, with a subsequent reversal following these periods. The Mercury effect is robust after considering seasonality, the calendar effect, and well-known firm-level characteristics. Our mechanism tests are consistent with model-implied conjectures that stocks covered by higher investor attention are more influenced by superstitious psychology in the extensive and intensive channels. A superstitious hedge strategy motivated by our findings can generate an average annualized market-adjusted return of 8.73%.

This paper examines the effects of superstitious psychology on investors’ decision making in the context of Mercury retrograde, a special astronomical phenomenon meaning “everything going wrong”. Using natural experiments in the Chinese stock market, we find a significant decline in stock prices, approximately -3.14% in the vicinity of Mercury retrogrades, with a subsequent reversal following these periods. The Mercury effect is robust after considering seasonality, the calendar effect, and well-known firm-level characteristics. Our mechanism tests are consistent with model-implied conjectures that stocks covered by higher investor attention are more influenced by superstitious psychology in the extensive and intensive channels. A superstitious hedge strategy motivated by our findings can generate an average annualized market-adjusted return of 8.73%.

In this paper we use the data from “paipaidai”, an online peer-to-peer lending platform in China, to testify whether mood affects the efficiency of credit approval by individual. Refering to the studies in Psychology and Financial Economics, we employ season, temperature and weather as mood proxies, and crotrol the variables related to the quality of loan to study the credit approval behavior under different mood condition. The results suggest that the efficiency of credit approval is significantly correlated with mood—positive mood would improve the efficiency, while negative mood would reduce it. Specifically, loan examined under better mood condition (e.g. spring, comfortable temperature, and sunny days) has significantly higher probability of approval, but lower probability to default if approved; and that examined under lower mood condition shows lower probability of approval and higher probability to default if approved. This effect of mood is even stronger when a loan application to judge is more complex, atypical, or unusual. Moreover, investor sentiment, denoted by closed-end fund premiums, has the same effect on credit approval as well.