Kandel and Stambaugh (1996) demonstrate that forecasting variables with weak statistical support in predictive return regressions can exert considerable economic influence on portfolio decisions. Using a Bayesian vector autoregression framework with stochastic volatility in market returns and...

I assess time-series return predictability using a weighted least squares estimator that is around 25% more efficient than ordinary least squares (OLS) because it incorporates time-varying volatility into its point estimates. Traditional predictors, such as the dividend yield, perform better in-...

This survey reviews the literature on sell-side analysts' forecasts and its implications for asset pricing. We review the literature on the supply and demand forces shaping analysts' forecasting decisions as well as the implications of the information they produce for both the cash flow and the...

I provide evidence that investors systematically overweight analyst forecasts by demonstrating that prices do not fully reflect the predictable component of analyst forecast errors. This evidence conflicts with conclusions in prior research relying on traditional approaches to predicting analyst...