This paper aims to connect the social network literature on centrality measures with the economic literature on von Neumann-Morgenstern expected utility functions using cooperative game theory. The social network literature studies various concepts of network centrality, such as degree,...

We directly optimize portfolio weights as a function of firm characteristics via deep neural networks by generalizing the parametric portfolio policy framework. Our results show that network-based portfolio policies result in an increase of investor utility of between 30 and 100 percent over a...

Do physicians behave rationally when facing a new disease? This study assesses physicians’ ambiguity attitudes towards the COVID-19 pandemic at its early breakout and the stock market using a revealed preference approach. We find that physicians exhibit significant deviation from expected...

Do physicians behave rationally when facing a new disease? This study assesses physicians’ ambiguity attitudes towards the COVID-19 pandemic at its early breakout and the stock market using a revealed preference approach. We find that physicians exhibit significant deviation from expected...