Journal of Financial and Quantitative Analysis, 2019, vol. 54, pp. 2453-2491
Exploits rich transaction data to identify distraction effects among institutional investors: distracted institutions are less likely to trade and their trades perform worse, but they are not all that rational about allocating their limited attention.
Joint with Joel Peress (INSEAD)
Journal of Finance, 2020, vol. 75, pp. 1083-1133
Exploits distracting news events (such as the O.J. Simpson trial) to identify the causal effect of noise trading in financial markets.
Review of Financial Studies, 2020, vol. 33, pp. 3804-3853
Develops a cheap talk model to show that short investment horizons can facilitate information sharing between investors.
Joint with Joel Peress (INSEAD)
Journal of Financial Markets, 2021, vol. 54, 100618
Estimates and describes a realistic noise trading process to help theorists calibrate their models.
Joint with Bastian von Beschwitz (Fed Board) and Sandro Lunghi (Inalytics)
Review of Asset Pricing Studies, 2022, vol. 12, pp. 199-242
Long-short equity hedge funds resemble constrained arbitrageurs: their trades generate alpha, but positions are closed too early.
Joint with Pekka Honkanen (UGA)
Review of Asset Pricing Studies, 2022, vol. 12, pp. 593-637
Noise shocks due to mutual fund fire sales spill over onto close economic peers because investors wrongly interpret them as fundamental signals.