This study aims to examine the market reaction to the Covid-19 pandemic using stocks listed on the LQ45 Index, by using the event study method to calculate and analyze the difference in Average Abnormal Return (AAR) and Trading Volume Trading (TVA) during the Covid-19 pandemic that occurred in...

This working paper was written by Yin-wong Cheung (University of California, Santa Cruz).We construct an empirical model for daily highs and daily lows of US stock indexes based on the intuition that highs and lows do not drift apart over time. Our empirical results show that daily highs and...

This research examines whether Google search volume index (GSVI), a proxy of investor attention, can predict the excess returns and abnormal trading volumes of TPEx 50 index constituents. It also explores the motive underlying GSVI based on positive or negative shocks to stock prices. The...