“…We specifically measure the liquidity and investor activity proxies using the informative microstructure data set from the Korean equity index (KOSPI 200) futures market, which is fully order‐driven and highly liquid. This data set is used because it provides transaction‐level data with granular details such as the time stamp in milliseconds, buy‐sell indicator, and identifications of the taker (i.e., who is in the initiating position) and maker (i.e., who is in the initiated positions) of each transaction (Park & Ryu, 2019; Ryu, 2013; Webb et al, 2016). First, multiple microstructural liquidity proxies—which include the bid‐ask spread, inverse depth, and time between trades—are constructed using the high‐frequency data set where all transactions are recorded tick by tick and their execution time is accurately reported in milliseconds (Ryu, 2016).…”