In this paper, we propose a method for finding policy function improvements for a single agent in high-dimensional Markov dynamic optimization problems, focusing in particular on dynamic games. Our approach combines ideas from literatures in Machine Learning and the econometric analysis of games...

In this paper, we propose a method for finding policy function improvements for a single agent in high-dimensional Markov dynamic optimization problems, focusing in particular on dynamic games. Our approach combines ideas from literatures in Machine Learning and the econometric analysis of games...

We propose that speculative trading arising from the joint effect of investor disagreement and short-sale constraints plays an important role in explaining the idiosyncratic volatility (IVOL) puzzle, the correlation among IVOL, market beta and trading volume, and the co-movement of IVOL....