We model the conditional mean and volatility of stock returns as a latent vector autoregressive (VAR) process to study the contemporaneous and intertemporal relationship between expected returns and risk in a flexible statistical framework and without relying on exogenous predictors. We find a...

We investigate the dynamics of heterogeneous beliefs and link them to the volatility pattern throughout the seasoned equity offering (SEO) event window. In sync with a reduction in information asymmetry related to management information releases around the SEO event, belief heterogeneity...

I develop an analytical general-equilibrium model to explain economic sources of business-cycle pattern of aggregate stock market returns. With concave production functions and capital accumulation, a technology shock has a pro-cyclical direct effect and a counter-cyclical indirect effect on...

We model the conditional mean and volatility of stock returns as a latent vector autoregressive (VAR) process to study the contemporaneous and intertemporal relationship between expected returns and risk in a flexible statistical framework and without relying on exogenous predictors. We find a...

We find that the positive relation between aggregate accruals and one-year-ahead market returns documented in Hirshleifer, Hou and Teoh [2009] is driven by discretionary accruals but not normal accruals. The return forecasting power of aggregate discretionary accruals is robust to choices of...

This paper exploits information contained in cross-sectional PEG ratios to extract estimates of the market's expectations for aggregate returns and economic fundamentals. By combining the loglinear present-valuation model and the Capital Asset Pricing Model (CAPM) logic, we establish a theoretic...