Deep learning is a powerful tool, which is becoming increasingly popular in financial modeling. However, model validation requirements such as SR 11-7 pose a significant obstacle to the deployment of neural networks in a bank's production system. Their typically high number of (hyper-)parameters...

Do financial market participants free-ride on liquidity? To address this question, we construct a dynamic general equilibrium model where agents face idiosyncratic preference and technology shocks. A secondary financial market allows agents to adjust their portfolio of liquid and illiquid assets...

Adding a stage of signal acquisition to the expected utility model shows that Bayesian updating results in a well defined law of demand for financial information when asset return distributions are conjugate priors to signals such as in the gamma-Poisson case. Signals have a positive marginal...