In this paper, a model of bounded rational investors investing their portfolio in a passive investment vehicle (e.g., an Exchange Traded Fund replicating a broad index) or an actively managed fund is presented. The model proposes that the quick reswitching of these short-term oriented investors...

This paper shows that when an investor optimally rebalances her portfolio, learning about the parameter of the return process still induces a large negative hedging demand even after observing 83 years of asset market data. An investor with a 5-year investment horizon decreases the percentage of...

We introduce a reinforcement learning framework for retail robo-advising. The robo-advisor does not know the investor's risk preference, but learns it over time by observing her portfolio choices in different market environments. We develop an exploration-exploitation algorithm which trades off...

We estimate a model in which Bayesian investors learn about parameters governing mutual fund performance in real time and competitively allocate capital to funds, conditional on their current beliefs. The model-implied aggregate allocation of capital in response to the history of observed...