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    지수선물시장에서의 동반매매와 속도 경쟁 = Parallel Trading and Speed Competition in the Korean Index Futures Market

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    https://www.riss.kr/link?id=A108564770

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This study examines the behavior of parallel tradings in the KOSPI 200 stock index futures market and the speed competition among traders participating in the trades. The parallel trading, defined as the batch of multiple orders with same price and direction submitted nearly simultaneously by multiple traders occurs 6,663 times (i.e., every 3.56 seconds), everyday during the continuous trading session. We find that the parallel trading account for 41% of the total trading volume in the KOSPI 200 futures contract between May 2019 and September 2020, 97% of orders in the trades are placed by foreign investors, and 68% of them are IOC orders. The average number of order messages in a parallel trading is 6.9, the average elapsed time is 3.56ms (milliseconds), and only about 30% of orders in the parallel trading lead to the real execution of trading due to the speed competition. The probit analysis between the direction of parallel trading and the change in the order flow imbalance, for the time period between 10ms before and 1ms before a parallel trading, reveals that some parallel tradings are significantly related to the order flow imbalance. In addition, the order processing speed of some competitive traders is estimated to be less than 1ms.
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    This study examines the behavior of parallel tradings in the KOSPI 200 stock index futures market and the speed competition among traders participating in the trades. The parallel trading, defined as the batch of multiple orders with same price and di...

    This study examines the behavior of parallel tradings in the KOSPI 200 stock index futures market and the speed competition among traders participating in the trades. The parallel trading, defined as the batch of multiple orders with same price and direction submitted nearly simultaneously by multiple traders occurs 6,663 times (i.e., every 3.56 seconds), everyday during the continuous trading session. We find that the parallel trading account for 41% of the total trading volume in the KOSPI 200 futures contract between May 2019 and September 2020, 97% of orders in the trades are placed by foreign investors, and 68% of them are IOC orders. The average number of order messages in a parallel trading is 6.9, the average elapsed time is 3.56ms (milliseconds), and only about 30% of orders in the parallel trading lead to the real execution of trading due to the speed competition. The probit analysis between the direction of parallel trading and the change in the order flow imbalance, for the time period between 10ms before and 1ms before a parallel trading, reveals that some parallel tradings are significantly related to the order flow imbalance. In addition, the order processing speed of some competitive traders is estimated to be less than 1ms.

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    참고문헌 (Reference)

    1 박수철, "한국 증권시장에서의 고빈도거래의 현황 및 특성" 한국재무관리학회 37 (37): 193-218, 2020

    2 정재만 ; 전용호 ; 최혁, "전략적 반복주문을 통한 고빈도거래가 한국 주식시장에 미치는 영향" 한국재무학회 27 (27): 177-211, 2014

    3 최병욱, "외국인의 고빈도 IOC 주문은 정보기반거래인가? KOSPI 200 옵션을 중심으로" 한국재무관리학회 39 (39): 181-217, 2022

    4 민재훈, "기관투자자의 동반매매가 주식시장에 미치는 영향에 관한 연구" 대한경영학회 21 (21): 229-260, 2008

    5 우민철 ; 최혁, "고빈도거래자의 매매양태 분석: ELW 시장을 대상으로" 한국증권학회 42 (42): 699-732, 2013

    6 우민철 ; 이우백, "개인투자자의 고빈도매매 행태와 성과 분석" 한국증권학회 43 (43): 847-878, 2014

    7 Carrion, A., "Very Fast Money : High-frequency Trading on the NASDAQ" 16 : 680-711, 2013

    8 Cont, R., "The Price Impact of Order Book Events" 12 : 47-88, 2014

    9 Budish, E., "The High-frequency Trading Arms Race : Frequent Batch Auctions as a Market Design Response" 130 (130): 1547-1621, 2015

    10 Kirilenko, A., "The Flash Crash : High-frequency Trading in an Electronic Market" 72 (72): 967-998, 2017

    1 박수철, "한국 증권시장에서의 고빈도거래의 현황 및 특성" 한국재무관리학회 37 (37): 193-218, 2020

    2 정재만 ; 전용호 ; 최혁, "전략적 반복주문을 통한 고빈도거래가 한국 주식시장에 미치는 영향" 한국재무학회 27 (27): 177-211, 2014

    3 최병욱, "외국인의 고빈도 IOC 주문은 정보기반거래인가? KOSPI 200 옵션을 중심으로" 한국재무관리학회 39 (39): 181-217, 2022

    4 민재훈, "기관투자자의 동반매매가 주식시장에 미치는 영향에 관한 연구" 대한경영학회 21 (21): 229-260, 2008

    5 우민철 ; 최혁, "고빈도거래자의 매매양태 분석: ELW 시장을 대상으로" 한국증권학회 42 (42): 699-732, 2013

    6 우민철 ; 이우백, "개인투자자의 고빈도매매 행태와 성과 분석" 한국증권학회 43 (43): 847-878, 2014

    7 Carrion, A., "Very Fast Money : High-frequency Trading on the NASDAQ" 16 : 680-711, 2013

    8 Cont, R., "The Price Impact of Order Book Events" 12 : 47-88, 2014

    9 Budish, E., "The High-frequency Trading Arms Race : Frequent Batch Auctions as a Market Design Response" 130 (130): 1547-1621, 2015

    10 Kirilenko, A., "The Flash Crash : High-frequency Trading in an Electronic Market" 72 (72): 967-998, 2017

    11 Hagströmer, B., "The Diversity of High-frequency Traders" 16 : 741-770, 2013

    12 Baron, M., "Risk and Return in High-frequency Trading" 54 (54): 993-1024, 2019

    13 Aquilina, M., "Quantifying the high-frequency trading ‘arms race’" 137 (137): 493-564, 2022

    14 Kraus, A., "Parallel Trading by Institutional Investors" 7 (7): 2107-2138, 1972

    15 Foucault, T., "News Trading and Speed" 71 (71): 335-381, 2016

    16 Hasbrouck, J., "Low-latency Trading" 16 : 646-679, 2013

    17 Easley, D., "Liquidity, Information, and Infrequently Traded Stocks" 51 (51): 1405-1436, 1996

    18 Wah, E., "Latency Arbitrage, Market Fragmentation, and Efficiency: A Two-market Model" 855-872, 2013

    19 Easley, D., "Is Information Risk a Determinant of Asset Returns?" 57 (57): 2185-2221, 2002

    20 Ammar, I. B., "Intraday Interactions between High-frequency trading and price efficiency" 41 : 101862-, 2021

    21 Musciotto, F., "High-frequency Trading and Networked markets" 118 (118): 2021

    22 Brogaard, J., "High-frequency Trading Competition" 54 (54): 1469-1497, 2019

    23 Korajczyk, R., "High-frequency Market Making to Large Institutional Trades" 32 (32): 1034-1067, 2019

    24 Lee, E., "High Frequency Trading in the Korean Index Futures Market" 35 (35): 31-51, 2015

    25 Menkveld, A., "High Fequency Trading and the New Market Makers" 16 : 712-740, 2013

    26 Kang, J., "Flow Toxicity of High-frequency Trading and its Impact on Price Volatility : Evidence from the KOSPI 200 Futures Markets" 40 : 164-191, 2020

    27 SEC, "Equity Market Structure Literature Review, Part II: high frequency trading" 2014

    28 Biais, B., "Equilibrium Fast Trading" 116 (116): 292-313, 2015

    29 Hirschey, N., "Do High-frequency Traders Anticipate Buying and Selling Pressure?" 67 (67): 3321-3345, 2021

    30 Wood, A., "An Investigation of Transaction Data for NYSE stocks" 40 (40): 723-739, 1985

    31 Harris, L., "A Transanction Data Study of Weekly and Intraday Patterns in Stock Returns" 16 (16): 99-117, 1986

    32 Hoffmann, P., "A Dynamic Limit Order Market with Fast and Slow Traders" 113 (113): 156-169, 2014

    33 Lin, H., "A Computing bias in Estimating the Probability of Informed Trading" 14 : 625-640, 2011

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