This article aims to enhance factor investing with reinforcement learning (RL) techniques. The agent learns through …

on filtering techniques and learning methods, we use a Bayesian learning approach to solve the Markowitz problem and … Bayesian learning strategy, we compare it with an optimal nonlearning strategy that keeps the drift constant at all times. In … order to emphasize the prevalence of the Bayesian learning strategy above the nonlearning one in different situations, we …

Syndication, which is a joint realization of one project/one investment by several capital providers, is a long …

We study how learning affects an uninformed monopolist's supply and investment decisions under multiplicative … of learning on supply and investment decisions, as well as the steady state level of capital. Our findings are as follows … supply and the lower the investment. Although learning does not a¤ect the steady state level of capital since the uninformed …

This paper examines the role of spillover learning in shaping the value of exploratory versus incremental R&D. Using … provides an empirical diagnostic for assessing the relative value of evaluation versus learning, namely that if firms place … greater value on learning, then they should set a lower revenue threshold for investing in novel relative to incremental drugs …

This paper proposes a self-calibrated sparse learning approach for estimating a sparse target vector, which is a …