We propose a one-month market-timing model constructed from 15 diverse variables. We use weighted least squares with stepwise variable selection to build a predictive model for the one-month-ahead market excess returns. From our statistical model, we transform our forecasts into investable...

Downside volatility and volatility typically comove but are not highly correlated during the most volatile times. We show that portfolios scaled by downside volatility expand the ex post mean-variance frontiers constructed using the original portfolios and volatility-managed portfolios of...

We examine the private information associated with insider trades using a Chinese data set. Insider buys positively forecast individual stock returns and insider sales negatively forecast individual stock returns. Classifying insiders as corporate managers and institutional investors, we find...