Using a large sample of institutional investors' investments in private equity funds raised between 1991 and 2011, we estimate the extent to which investors' skill affects their returns. Bootstrap analyses show that the variance of actual performance is higher than would be expected by chance,...

We study dynamic portfolio choice of a long-horizon investor who uses deep learning methods to predict equity returns when forming optimal portfolios. Our results show statistically and economically significant benefits from using deep learning to form optimal portfolios through certainty...

We re-examined the seasonal pattern in the excess returns of highly visible American firms. In contrast to the seasonality for risky, less visible firms, we found that highly visible stocks display return seasonality that shows the opposite trend. Fund managers are prone to gamesmanship, putting...

This paper introduces two measures to investigate potential window-dressing behavior among mutual fund managers. We show that unskilled managers that perform poorly are more likely to window dress by strategically purchasing winner stocks and selling loser stocks near quarter ends. Further,...

This paper investigates if familiarity induced by ambiguity aversion can help explaining the local bias phenomenon among individual investors. Using geographic closeness as a proxy for investor familiarity, we find that investors pull out of (unfamiliar) remote stocks, and pour into (familiar)...

We analyze the effect of geographic proximity on individual investors’ portfolio choice. Using a unique data set which covers the common stockholdings of private households at regional banks in Germany, we document strong and consistent overinvestment in geographically close companies. Our...

Extant literature consistently documents that investors tilt their domestic equity portfolios towards regionally close stocks (local bias). We hypothesize that individual investors’ local bias is not limited to the domestic sphere but instead also determines their international investment...

A common approach to dealing with missing data is to estimate the model on the common subset of data, by necessity throwing away potentially useful data. We derive a new probit type estimator for models with missing covariate data where the dependent variable is binary. For the benchmark case of...

We analyze the effect of geographic proximity on individual investors' portfolio choice. Using a unique data set which covers the common stockholdings of private households at regional banks in Germany, we document strong and consistent overinvestment in geographically close companies. Our...