Stock return anomalies identification during the Covid-19 with the application of a grouped multiple comparison procedure
Description
This study investigates the impact of COVID-19 pandemic on the Chinese stock market in 2020. Using daily data of three industries, this study addresses the identification of abnormal stock returns as a multiple hypothesis testing problem and proposes
