We study a dynamic mean-variance portfolio optimization problem under the reinforcement learning framework, where an entropy regularizer is introduced to induce exploration. Due to the time-inconsistency involved in a mean-variance criterion, we aim to learn an equilibrium strategy. Under an...

We consider multistage bidding models where two types of risky assets (shares) are traded between two agents that have different information on the liquidation prices of traded assets. These prices are random integer variables that are determined by the initial chance move according to a...

This paper characterizes the optimal risk-taking strategies of mutual fund managers competing in multi-period winner-take-all tournaments. With competition among mutual funds, every fund begins by taking maximum risk. In the final period, all funds continue to take maximum risk except possibly...

Two participants have to decide jointly, with the discussions preceding their choice being video/audiotaped. For two tasks, one with and one without strategic interaction, we refer to obvious reasoning styles as mental models. The videotaped discussions are analyzed according to which mental...

The purpose of this study was to investigate the behavior of various indices of Tehran Stock Exchange firstly in the boom period from 2018-03-21 to 2018-11-02 and secondly in the recession period from 2016-03-20 to 2016-12-20 using double-sided balanced conditional Sharpe ratio. The results of...