We study the decision of when to invest in an indivisible project whose value is perfectly observable but driven by a parameter that is unknown to the decision maker ex ante. This problem is equivalent to an optimal stopping problem for a bivariate Markov process. Using filtering and martingale...

We study how securities and trading mechanisms can be designed to optimally mitigate the adverse impact of market imperfections on liquidity. Asset owners seek to obtain liquidity by selling their claims on future cash-flows, on which they have private information. Our analysis encompasses both...

We examine local stability under learning of stationary Markov sunspot equilibria (SSEs) in a simply dynamic nonlinear model. Necessary and sufficient conditions for local convergence of a recursive learning algorithm to SSEs are shown to be given (generically) by expectational stability...