Purpose: In this paper we try to explain US stock market variations and cash flow fundamentals by employing three different book-valued based ratios, First, we explore the explanatory capacity of the simple book-market ratio on time-varying expected returns, and procced on altering its...

We consider a canonical asset pricing model, where agents with quadratic preferences are allowed to retrade a limited set of securities over multiple periods, after which these securities expire, and agents consume their liquidation values. A key assumption in this model is that agents have...

We examine the asymmetric impact of shocks to macroeconomic expectations and their underlying dispersion on equity risk premia across different market regimes. First, we rely on a two-state logit mixture vector autoregressive model and use Consensus Economics survey data on GDP growth,...

We examine the asymmetric impact of shocks to macroeconomic expectations and their underlying dispersion on equity risk premia across different market regimes. First, we rely on a two-state logit mixture vector autoregressive model and use Consensus Economics survey data on GDP growth,...

Purpose - We propose a risk factor for idiosyncratic entropy and explore the relationship between this factor and expected stock returns. Design/methodology/approach - We estimate a cross-sectional model of expected entropy that uses several common risk factors to predict idiosyncratic entropy....

This study provides new insight into the recent debate on profitability and investment patterns in the cross-section of expected returns. Relying on implied risk premia of U.S. corporate bonds, we document a strong negative relation between exposure to the profitability factor and cost of debt....

The equity risk premium is generally considered to be a reward that investors earn on top of the prevailing risk-free return, implying that, all else equal, total expected stock returns should increase with the level of the risk-free return. We examine whether this notion is true using long-term...

We propose a novel reinforcement learning approach to extract high-frequency aggregate growth expectations from asset prices. While much expectations-based research in macroeconomics and finance relies on low-frequency surveys, the multitude of events that pass between survey dates renders...

We find that interest rate variance risk premium (IRVRP) - the difference between implied and realized variances of interest rates - is a strong predictor of U.S. Treasury bond returns of maturities ranging between one and ten years for return horizons up to six months. IRVRP is not subsumed by...

We find out-of-sample predictability of commodity futures excess returns using forecast combinations of 28 potential predictors. Such gains in forecast accuracy translate into economically significant improvements in certainty equivalent returns and Sharpe ratios for a mean-variance investor....