We often observe disproportionate reactions to tangible information in large stock price movements. Moreover these movements feature an asymmetry: the number of crashes is more than that of frenzies in the S&P 500 index. This paper offers an explanation for these two characteristics of large...

In this paper, we look into the so-called "revolving door of Washington", which is the movement of individuals between federal government positions and jobs in the private sector, and examine its link to long-run stock returns. We find that firms where current public officials become future...

The quality of information in financial asset markets is often hard to estimate. This paper analyzes information transmission in asset markets when agents treat information of unknown quality as ambiguous. We consider a market with risk-averse informed investors, risk-neutral competitive...

We consider financial markets with heterogeneously ambiguous assets and heterogeneously ambiguity averse investors. Investors' preferences, a version of the smooth ambiguity model, are a parsimonious extension of the standard mean-variance framework. We consider, in a unified setting, portfolio...

We study price formation in securities markets, using the sequential trade framework of Glosten and Milgrom (1985). This paper makes one basic methodological advance over previous research on sequential securities trading: we allow traders to choose from n trade sizes in a multi-period market,...

Regulations introduce significant fixed costs and add to operating leverage. Fixed regulatory costs that contribute to operating leverage should generate a risk premium. To explore whether such a premium exists, we introduce a measure of "regulatory operating leverage" that reflects the...

We study asset pricing in economies with large information networks. We derive closed form expressions for price, volatility, profitability and several other key variables, as a function of the topological structure of the network. We focus on networks that are sparse and have power law degree...

We study investor networks in the stock market, through the lens of information network theory. We use a unique account level dataset of all trades on the Istanbul Stock Exchange in 2005, to identify traders who are similar in their trading behavior as linked in an empirical investor network...