Pekka Honkanen ♦ U.S. mutual funds that participate in the securities lending market extract information from stock borrowing. Active funds exploit this information, rebalancing away from borrowed stocks whose prices tend to decrease, whereas passive funds do not. Information spillovers…
Deniz Anginer, Snow (Xue) Han, and Çelim Yıldızhan ♦ Using close to 800,000 transactions by 66,000 households in the United States and close to 2,000,000 transactions by 303,000 households in Finland, this paper shows that, on average, individual investors with…
Meghana Ayyagari, Yuxi Cheng, and Ariel Weinberger ♦ Using high-frequency data on over 7 million import transactions, we study the disruptions to US firms’ trade patterns and growth immediately following the initial COVID-19 trade shock. While large firms are not…
Mahendrarajah Nimalendran, Praveen Pathak, Mariia Petryk, and Liangfei Qiu ♦ This study employs variance ratios (VRs) to assess the roles of regulation and liquidity on cryptocurrency market efficiency, focusing on crypto assets subject to varying degrees of regulation. Our findings reveal…
Po-Hsuan Hsu, Ioannis Kyriakou, Tren Ma, and Georgios Sermpinis ♦ We introduce a test to assess mutual funds’ “conditional” performance that is based on updated information and corrects data snooping bias. Our method, named the functional False Discovery Rate “plus”…
Ali Sanati ♦ I develop a dynamic model to investigate how labor mobility impacts firms’ decisions. In the model, firms make investment and financing decisions, hire labor with different skill and mobility levels, and set wages through bargaining. The model…
