2019
DOI: 10.1016/j.pacfin.2018.10.016
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Speed and trading behavior in an order-driven market

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Cited by 13 publications
(5 citation statements)
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“…Our data set comprises high‐quality intraday transaction data from the KOSPI 200 index options and futures markets. The index derivatives markets in Korea, which have exhibited extremely rapid development since being launched in the mid‐1990s, are characterized by features that provide incentives for diverse investor participation (Park & Ryu, 2019). This study particularly focuses on the index options market with the following characteristics.…”
Section: Sample Datamentioning
confidence: 99%
“…Our data set comprises high‐quality intraday transaction data from the KOSPI 200 index options and futures markets. The index derivatives markets in Korea, which have exhibited extremely rapid development since being launched in the mid‐1990s, are characterized by features that provide incentives for diverse investor participation (Park & Ryu, 2019). This study particularly focuses on the index options market with the following characteristics.…”
Section: Sample Datamentioning
confidence: 99%
“…Both domestic and foreign investors actively participate in the options market, attracted by its low transaction costs (e.g., no brokerage and exchange fees and low trading and capital gain taxes) and ample market liquidity (e.g., small bid‐ask spreads and great market depth). Professional investors can use KOSPI 200 options as an effective trading vehicle, because the market's small quoted spreads and sufficient depth can absorb the price impacts of large informed orders (Lee, Kang, & Ryu, 2015; Park & Ryu, 2019). Speculators, arbitragers, and hedgers can benefit from this abundant liquidity.…”
Section: Kospi 200 Options Marketmentioning
confidence: 99%
“…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).…”
Section: Introductionmentioning
confidence: 99%