We develop a 10-K-based multidimensional measure of firm locations. Using this measure, we show that firm-level information is geographically distributed and institutional investors are able to exploit the resulting information asymmetry. Specifically, institutional investors overweigh firms whose 10-K frequently mentions the investors' state even when those firms are not headquartered locally and earn superior returns on those stocks. These ownership and performance patterns are stronger among hard-to-value firms. Local investor performance increases with the degree of local bias and with the local economic exposure of portfolio firms. Overall, geographical variation in firm-level information generates economically significant location-based information asymmetry.

We show that name-induced stereotypes affect the investment choices of U.S. mutual fund investors. Managers with foreign-sounding names have about 10% lower annual fund flows, and this effect is stronger among funds with investor clienteles more likely to be suspicious of foreigners. Foreign-named managers experience lower appreciation (greater decline) in flows following good (bad) performance. Following 9/11, flows to funds with managers with Middle-Eastern-sounding names declined abnormally. In an experimental setting in which skill differences are absent, individuals allocate 11% less money to an index fund managed by a foreign-named manager. This gap widens following the Boston marathon bombings.

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.

We show that name-induced stereotypes affect the investment choices of U.S. mutual fund investors. Managers with foreign-sounding names have about 10% lower annual fund flows, and this effect is stronger among funds with investor clienteles more likely to be suspicious of foreigners. Foreign-named managers experience lower appreciation (greater decline) in flows following good (bad) performance. Following 9/11, flows to funds with managers with Middle-Eastern-sounding names declined abnormally. In an experimental setting in which skill differences are absent, individuals allocate 11% less money to an index fund managed by a foreign-named manager. This gap widens following the Boston marathon bombings.

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.

We develop a 10-K-based multidimensional measure of firm locations. Using this measure, we show that firm-level information is geographically distributed and institutional investors are able to exploit the resulting information asymmetry. Specifically, institutional investors overweigh firms whose 10-K frequently mentions the investors' state even when those firms are not headquartered locally and earn superior returns on those stocks. These ownership and performance patterns are stronger among hard-to-value firms. Local investor performance increases with the degree of local bias and with the local economic exposure of portfolio firms. Overall, geographical variation in firm-level information generates economically significant location-based information asymmetry.

Abstract 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.