We investigate whether mutual funds whose investors and stocks are decoupled (i.e., investor location does not coincide with that of the stock holdings) benefit from a natural hedge as they have fewer outflows during market downturns and fewer inflows during upturns. Using a sample of equity...

We investigate whether mutual funds whose investors and stocks are decoupled (i.e., investor location does not coincide with that of the stock holdings) benefit from a natural hedge as they have fewer outflows during market downturns and fewer inflows during upturns. Using a sample of equity...

We investigate whether mutual funds whose investors and stocks are decoupled (i.e., investor location does not coincide with that of the stock holdings) benefit from a natural hedge as they have fewer outflows during market downturns and fewer inflows during upturns. Using a sample of equity...

We use a new data set to study the determinants of the performance of open-end actively managed equity mutual funds in 27 countries. We find that mutual funds underperform the market overall. The results show important differences in the determinants of fund performance in the U.S. and elsewhere...

In this paper, we study mutual fund performance in terms of timing ability with daily data from 1998 to 2009. A novel timing model is proposed by incorporating the regime-switching framework into the Treynor and Mazuy (1966) model. The volatility follows a generalized autoregressive conditional...

We propose forecasting separately the three components of stock market returns: the dividend-price ratio, earnings growth, and price-earnings ratio growth - the sum-of-the-parts (SOP) method. Our method exploits the different time-series persistence of the components and obtains out-of-sample...

We propose forecasting separately the three components of stock market returns: dividend yield, earnings growth, and price-earnings ratio growth. We obtain out-of-sample R-square coefficients (relative to the historical mean) of nearly 1.6% with monthly data and 16.7% with yearly data using the...

We propose forecasting separately the three components of stock market returns: dividend yield, earnings growth, and price-earnings ratio growth. We obtain out-of-sample R-square coefficients (relative to the historical mean) of nearly 1.6% with monthly data and 16.7% with yearly data using the...