Our objective is to identify the trading strategy that would allow an investor to take advantage of “excessive” stock price volatility and “sentiment” fluctuations. We construct a general-equilibrium model of sentiment. In it, there are two classes of agents and stock prices are excessively...

We introduce new quantile estimators with adaptive importance sampling. The adaptive estimators are based on weighted samples that are neither independent nor identically distributed. Using the law of iterated logarithm for martingales, we prove the convergence of the adaptive quantile...

The evaluation of the likelihood function of the stochastic conditional duration model requires to compute an integral that has the dimension of the sample size. We apply the efficient importance sampling method for computing this integral. We compare EIS-based ML estimation with QML estimation...

This paper proposes a theory of investment fluctuations where the source of the oscillating dynamics is an agency problem between financiers and entrepreneurs. A central tenet of the theory is that investment decisions depend upon entrepreneurs’ initiative to select investment projects...

We examine how asymmetric information and competition in the credit market affect voluntary information sharing between lenders. We study an experimental credit market in which information sharing can help lenders to distinguish goodborrowers from bad ones, because borrowers may exogenously...