Publications

We investigate the trading strategies of retail investors by applying LLMs to analyze messages posted by users on StockTwits.

2024 FMA Best Paper in Derivatives & Options

LLMs manifest common behavioral biases when forecasting expected returns but are better at gauging risks than humans.

Novel measures for Var and Skew expectations derived from analyst reports; Using LLM and ML to examine expectation formation

We show mutual funds’ securities lending patterns can help differentiate shares borrowed for hedging and for informed trading.

ETF options offer a unique device for hedge funds to exploit their information about volatilities in different asset markets.

Tweets posted via smartphones predict next-day returns and news, suggesting smartphones facilitate rapid access to information.

PPS decreases in both short- and long-run volatilities, but only the short-run volatility affects executives’ incentive.

When stocks overweighted by active mutual funds outperform other stocks, the S&P 500 tends to do well the next day, and vice-versa.

A media outlet issues more positive news coverage of a firm when they have common institutional investors.