We investigate the relationship between a mutual fund's variation in factor exposures and its future performance. Using a dynamic state space version of Carhart (1997)'s four factor model to capture factor variation, we find that funds with volatile factor exposures underperform funds with...

We exploit variation in the ancestries of U.S. equity mutual fund managers to show that ancestry affects portfolio decisions. Controlling for fund firm location, we find that funds overweight stocks from their managers' ancestral home countries in their non-U.S. portfolio by 132 bps or 20.34%...

We investigate the pricing of convertible bonds on the French convertible bond market using dailymarket prices for a period of 18 months. Instead of a firm-value model as used in previous studies, weuse a stock-based binomial-tree model with exogenous credit risk that accounts for all...

In this paper we investigate the relation between statistical tracking error measures and assetallocation restrictions expressed as admissible weight ranges. Typically, tracking errors arecalculated as annual standard deviations of return differentials between tracking portfolio andbenchmark. In...

The most widely used tool to measure, gear and control market risk is value-at-risk (VaR).VaR quantifies the worst loss over a specified target horizon with a given statisticalconfidence level. In other words, it represents a quantile of an estimated profit-lossdistribution. Various...