This study shows that weather-based indicators of mood impact perceptions of mispricing and trading decisions of institutional investors. Using survey and disaggregated trade data, we show that relatively cloudier days increase perceived overpricing in individual stocks and the Dow Jones Industrial Index and increase selling propensities of institutions. We introduce stock-level measures of investor mood; investor optimism positively impacts stock returns among stocks with higher arbitrage costs, and stocks experiencing similar investor mood exhibit return comovement. These findings complement existing studies on how weather impacts stock index returns and identify another channel through which it can manifest.

Motivated by recent evidence of informed trading by individual investors (Kaniel et al., 2012, Kelley and Tetlock, 2013, Wang and Zhang, 2015), we posit that individual investor trading enhances firm performance. Consistent with the conjecture, we find that individual investor trading positively impacts firm value. The results are robust to inclusion of year, industry and firm fixed effects, alternative model specifications, a control for endogeneity, Granger causality test, matched sample analysis and subsample analyses. The positive effect of individual investor trading on firm value is stronger for firms with higher information production and stocks with higher spread, consistent with the information and spread channel mechanism. Our results suggest that trading by individual investors enhances firm value by improving stock price informativeness and reducing spread.

This paper examines the role of institutional trading during the option backdating scandal of 2006–2007. Unlike their inability to anticipate other corporate events, institutional investors as a group display negative abnormal trading imbalances (i.e., buy minus sell volumes) in anticipation of firm-specific backdating exposures. Consistent with informed trading, the underlying trades earn positive abnormal short- and long-term profits. Moreover, the negative abnormal imbalances are larger in magnitude when backdating is likely a more severe issue. Local institutions, in particular, display negative trading imbalances earlier in event-time and earn consistently higher trading profits than non-local institutions. Although we find some evidence of over-reaction following the arrival of information about the backdating scandal, these patterns are short-lived and exclusively due to the activity of non-local institutions. Overall, institutional investors behave as informed investors, particularly in local stocks, during this prolonged period of heightened uncertainty about corporate reporting and governance practices.

This study shows that weather-based indicators of mood impact perceptions of mispricing and trading decisions of institutional investors. Using survey and disaggregated trade data, we show that relatively cloudier days increase perceived overpricing in individual stocks and the Dow Jones Industrial Index and increase selling propensities of institutions. We introduce stock-level measures of investor mood; investor optimism positively impacts stock returns among stocks with higher arbitrage costs, and stocks experiencing similar investor mood exhibit return comovement. These findings complement existing studies on how weather impacts stock index returns and identify another channel through which it can manifest.

This study examines whether state-level economic conditions affect the liquidity of local firms. We find that liquidity levels of local stocks are higher (lower) when the local economy has performed well (poorly). This relation is stronger when local financing constraints are more binding, the local information environment is more opaque, and local institutional ownership levels and trading intensity are higher. Overall the evidence supports the notion that the geographical segmentation of U.S. capital markets generates predictable patterns in local liquidity.