We demonstrate that the parameters controlling skewness and kurtosis in popular equity return models estimated at daily frequency can be obtained almost as precisely as if volatility is observable by simply incorporating the strong information content of realized volatility measures extracted...

Aggregate dividend growth is widely thought to be unpredictable by the dividend price ratio. I show that this lack of predictability is related to the measurement of dividends. If M&A cash flows are taken into account, the adjusted R2 from a regression of dividend growth on the dividend price...

This paper proposes a novel time-varying present-value model to analyze the joint dynamics of stock returns and cash flows periodically. We use a nonparametric time-varying vector autoregressive model to examine the economic implications of the time-varying present-value model. By conducting...

Empirical financial literature documents the evidence of mean reversion in stock prices and the absence of out-of-sample return predictability over periods shorter than 10 years. The goal of this paper is to test the random walk hypothesis in stock prices and return predictability over periods...

This paper examines the impact of intraday periodicity on forecasting realized volatility using a heterogeneous autoregressive model (HAR) framework. We show that periodicity inflates the variance of the realized volatility and biases jump estimators. This combined effect adversely affects...

In this paper, we propose a simple approach to testing and modelling nonlinear predictability of stock returns using Hermite Functions. The proposed test suggests that there exists a kind of nonlinear predictability for the dividend yield. Furthermore, the out-of-sample evaluation results...

In this study, we separately estimate the implied volatility from bid prices and ask prices ofdeep out-of-the-money (OTM) put options on the S&P500 index. We find that the impliedvolatility of ask prices has stronger stock return predictability than that of bid prices. Our finding is robust to...

We adjust the dividend-price ratio for share repurchases and investigate whether predictive power can be improved when constructing forecasts of UK and French equity premia. Regulations in the two largest European stock markets allow us to employ actual repurchase data in our predictive...

We survey the literature on stock return forecasting, highlighting the challenges faced by forecasters as well as strategies for improving return forecasts. We focus on U.S. equity premium forecastability and illustrate key issues via an empirical application based on updated data. Some studies...

We compare the stock return forecasting performance of alternative payout yields. The net payout yield produces more accurate forecasts relative to alternatives, including the traditional dividend yield. This remains true even after excluding several years during the Great Depression when...