We let "Algorithmic Market-Makers" (AMMs), using Q-learning algorithms, choose prices for a risky asset when their clients are privately informed about the asset payoff. We find that AMMs learn to cope with adverse selection and to update their prices after observing trades, as predicted by...

This paper develops a general equilibrium model of a productive economy with negative externalities. Investors are not willing to accept lower returns than their best investment alternatives and entrepreneurs maximize profits. If capital markets are subject to a search friction, an ESG fund can...

Do equity crowdfunding investors rationally or irrationally herd? We build a model of rational information aggregation where both informed and uninformed investors arrive sequentially and rationally choose whether and how much to invest. We compare the predictions of the model to several...