Much attention has been paid to the complex risk transmission between carbon and energy markets along with the increasing global financial market integration. This research thus uses the DCC-MVGARCH model and spillover index method to investigate volatility linkages between the European carbon...

This paper uses transaction-level fund trading data from the United States to study the information advantage of institutional investors. Our research design follows a two-step procedure. In the first step, we identify funds that sell shares in firms before their unexpected revelation of stock...

Using a machine learning approach to analyze 12.8 million tweets posted by S&P 1500 firms from 2012 to 2016, we find that firms time financial tweets around earnings announcements, accounting filings as well as other important corporate events, and are more likely to use media (images or video)...

We introduce learning into the hedge fund managers’ risk choice problem with imperfect information. We find that with a constant but unobserved expected return on investment, learning induces managers to take more risks and increases manager compensation. When the return is stochastic,...

This paper incorporates model ambiguity into the traditional hedge fund models to explore how ambiguity influences the manager's investment strategy, risk attitude and compensation structure. We find the manager is ambiguity aversion. Model ambiguity enhances her level of endogenous risk...

This paper uses a unique transaction-level fund trading dataset to evaluate institutional investors' trading performance. Our research design follows a two-step procedure. In the first stage, we identify funds that heavily sold shares in firms before their public revelation of stock option...