linkage established by Bayesian learning, in an attempt to improve both asset pricing approaches in producing a better … Bayesian learning to form and update beliefs about the conditional state arrival in order to make optimal long-run consumption … investment decisions. This new learning component to the consumption-based paradigm will generate novel pricing implications …

Prior studies show that investor learning about earnings-based return predictors from academic research erodes return … investor learning about profitability signals underlying earnings. We show that modified earnings variables with lower …-period partitions, and portfolio holding windows. Overall, our results suggest that while investor learning is apparent in the data …

We examine the effects of parameter uncertainty and Bayesian learning on equilibrium asset prices when all the … equity premium. Learning does not produce a monotonically declining equity premium and shocks to growth rates can induce …

In this paper, we examine how learning about disaster risk affects asset pricing in an endowment economy. We extend the …

the importance of domain knowledge and financial theory when designing deep learning models. I also show return prediction …Traditional machine learning methods have been widely studied in financial innovation. My study focuses on the … application of deep learning methods on asset pricing.I investigate various deep learning methods for asset pricing, especially …