We develop a new method to estimate private equity funds' market beta from cash flows. Our methodology extends the widely known public market equivalent calculation to a cross-sectional regression. By simply regressing funds' internal rates of return on their paired market internal rates of...

This paper derives a new decomposition of stock returns using price extremes and proposes a conditional autoregressive shape (CARS) model with beta density to predict the direction of stock returns. The CARS model is continuously valued, which makes it different from binary classification...

According to the log-linear return approximation, the ability of a predictor to predict future stock returns may arise from its ability to predict either the cash flows or the discount rates, or both. This paper introduces novel nonparametric approaches for estimating and testing the time...