This paper deals with the problem of modelling the volatility of futures prices in agricultural markets. We develop a multi-factor model in which the stochastic volatility dynamics incorporate a seasonal component. In addition, a maturity dependent damping term accounts for the Samuelson effect....

This paper quantifies the impact of stock-specific news sentiment on future financial returns. Predictive regressions yield significant t-statistics for 7% at most of our sample of more than one thousand large stocks listed in the US. While a few assets do run through pockets of predictability,...

We propose a linearization of rule-based algorithms that reveals the most important interactions between characteristics and macroeconomic variables when explaining future stock returns. Our results suggest that the two types of predictors are intertwined, which implies that the relationships...

We propose a linearization of rule-based algorithms that reveals the most important interactions between characteristics and macroeconomic variables when explaining future stock returns. Our results suggest that the two types of predictors are intertwined, which implies that the relationships...