본문 바로가기
KERD
논문KCI 등재

외국인의 고빈도 IOC 주문은 정보기반거래인가? KOSPI 200 옵션을 중심으로

Is a Foreign Investor’s High-frequency IOC Order Informed Trading? The Case of KOSPI 200 Options

15

조회

0

다운로드

4

인용

0

참고문헌

키워드

주제분류경영학

초록

본 연구에서는 KOSPI 200 지수옵션시장을 대상으로 특별주문 중 하나인 IOC (immediate-or-cancel) 주문의 특성과 정보성을 조사하였다. 2019년 5월부터 2020년 9월까지 지수옵션의 호가자료와 체결자료를 분석하여 얻은 주요 결과는 다음과 같다. 첫째, 거래량의 56%가 IOC 주문을 통해 체결되었고, 이중 99%는 외국인투자자가 실행한 것이며, 고빈도매매(HFT)를 통한 동시다발적 동반매매(herding)의 형태를 보이고 있다. 둘째, 전체 체결량의 26%를 차지하는 개인투자자가 IOC 주문의 거래상대방으로는 38%의 점유율을 나타내, 개인투자자의 주문특성이 IOC 주문을 유인하는 여러 요인 중 하나인 것으로 보인다. 셋째, IOC 매매의 가격충격(price impact)은 일반매매에 비해 더 컸지만 정보거래확률(PIN)은 낮게 나타났다. 그 이유는 IOC 매매를 실행한 정보거래자의 주문 강도가 일반매매에 비해 높았지만, 비정보거래자의 주문 강도 또한 높았기 때문으로 풀이된다. 결론적으로 KOSPI 200 지수옵션시장에서 IOC 주문이 일반주문에 비해 더 많은 사적 정보를 기반으로 실행된 것이라고 단정하기 어렵고, 오히려 주문집계장(limit order book)의 주문흐름을 이용한 알고리즘거래에 더 가깝다는 점을 시사한다.

Abstract

This paper explores the trading characteristics of an IOC (Immediate-Or-Cancel) order and its information content by analyzing trade and quote data of KOSPI 200 index options for the sample period between May 2019 and September 2020. Our empirical results can be summarized as follows. First, we find that 56% of trades in index option market are executed by IOC, and 99% percent of IOC trades are submitted by foreign investors in a high-frequency trading platform. Third, the IOC orders submitted by several HFTs simultaneously reveals herding behavior and the competition among them is very high. Fourth, individual investors, who account for 26% of the total option trades, have a 38% share as the counterparty to IOC orders, suggesting that the characteristics of individual investors' orders are one of the incentives for IOC orders. Fifth, the price impact of IOC orders is greater than that of Non-IOC. Sixth, the probability of informed-based trading (PIN) of IOC orders is less than that of Non-IOC orders, but the arrival rate of informed traders and the buying (selling) arrival rate of uninformed traders are increasing as well in IOC orders. In conclusion, the IOC orders seems not to be based on informed trading but to be an algorithmic trading based on the mining of lucrative information from the order flow in a limit order book

참고문헌 (44)

  1. 박수철, "한국 증권시장에서의 고빈도거래의 현황 및 특성", 재무관리연구, 37(2), pp.193~218 (2020), 한국재무관리학회[DOI]
  2. 박종호, "Does National Pension Service’s Trading Destabilize Korean Stock Market", Asia-Pacific Journal of Financial Studies, 37(3), pp.501~536 (2008), 한국증권학회
  3. 우민철, "개인투자자의 고빈도매매 행태와 성과 분석", 한국증권학회지, 43(5), pp.847~878 (2014), 한국증권학회
  4. 우민철, "고빈도거래자의 매매양태 분석: ELW 시장을 대상으로", 한국증권학회지, 42(4), pp.699~732 (2013), 한국증권학회
  5. 윤주영, "고빈도 데이터(HFD: High Frequency Data)를 활용한 페어 트레이딩(Pairs Trading) 전략의 성과 특성에 관한 연구", 재무연구, 24(4), pp.1153~1172 (2011), 한국재무학회
  6. 이재람, "옵션시장 내 독성 주문 흐름의 정보성 연구 : KOSPI200 지수옵션을 중심으로", 선물연구, 27(4), pp.365~400 (2019), 한국파생상품학회
  7. 정재만, "전략적 반복주문을 통한 고빈도거래가 한국 주식시장에 미치는 영향", 재무연구, 27(2), pp.177~211 (2014), 한국재무학회
  8. 최혁, "한국주식시장에서의 정보비대칭 측정치 비교", Asia-Pacific Journal of Financial Studies, 35(5), pp.1~44 (2006), 한국증권학회
  9. Ahn, H., "Informed Trading in the Index Option Market: The Case of KOSPI 200 options", Journal of Futures Markets, 28(12), pp.1118~1146 (2008)
  10. Ammar, I. B., "Intraday Interactions between High-Frequency Trading and Price Efficiency", Finance Research Letters, 41, pp.101862~ (2021)
  11. Avellaneda, M., "High Frequency Trading in a Limit Order Book", Quantitative Finance, 8(3), pp.217~224 (2008)
  12. Baldauf, M., "High-Frequency Trading and Market Performance", Journal of Finance, 75(3), pp.1495~1526 (2020)
  13. The Trading Profits of High Frequency Traders, "Baron, M.", ~ (2012)
  14. Baron, M., "Risk and Return in High-Frequency Trading", Journal of Financial and Quantitative Analysis, 54(3), pp.993~1024 (2019)
  15. Biais, B., "HFT and Market Quality", Bankers, Markets & Investors, 128, pp.5~19 (2014)
  16. Brennan, M., "High-Frequency Measure of Informed Trading and Corporate Announcements", Review of Financial Studies, 31(6), pp.2326~2376 (2018)
  17. Brogaard, J., "High-Frequency Trading and Price Discovery", Review of Financial Studies, 27(8), pp.2267~2306 (2014)
  18. Brogaard, J., "High-Frequency Trading Competition", Journal of Financial and Quantitative Analysis, 54(4), pp.1469~1497 (2019)
  19. Budish, E., "The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design Response", Quarterly Journal of Economics, 130(4), pp.1547~1621 (2015)
  20. Carrion, A., "Very Fast Money: High-Frequency Trading on the NASDAQ", Journal of Financial Markets, 16(4), pp.680~711 (2013)
  21. 정기호, "High-frequency Trading: Review of the Literature and Regulatory Initiatives around the World", Asia-Pacific Journal of Financial Studies, 45(1), pp.7~33 (2016), 한국증권학회[DOI]
  22. Duong, H. N., "The Information Content of Special Orders", Pacific-Basin Finance Journal, 45, pp.68~81 (2017)
  23. Easley, D., "Is Information Risk a Determinant of Asset Returns?", Journal of Finance, 57(5), pp.2185~2221 (2002)
  24. Easley, D., "Liquidity, Information, and Infrequently Traded Stocks", Journal of Finance, 51(4), pp.1405~1436 (1996)
  25. Easley, D., "Flow Toxicity and Liquidity in a High Frequency World", Review of Financial Studies, 25(5), pp.1457~1493 (2012)
  26. Erenburg, G., "Trading Around Macroeconomic Announcements:Are all Traders Created Equal?", Journal of Financial Intermediation, 15(4), pp.470~493 (2006)
  27. Foucault, T., "News Trading and Speed", Journal of Finance, 71(1), pp.335~381 (2016)
  28. Hagstromer, B., "The Diversity of High-Frequency Traders", Journal of Financial Markets, 16, pp.741~770 (2013)
  29. Hasbrouck, J., "Low-latency Trading", Journal of Financial Markets, 16, pp.646~679 (2013)
  30. Hendershott, T., "Algorithmic Trading and the Market for Liquidity", Journal of Financial and Quantitative Analysis, 48(4), pp.1001~1024 (2013)
  31. Hoffmann, P., "A Dynamic Limit Order Market with Fast and Sow Taders", Journal of Financial Economics, 113(1), pp.156~169 (2014)
  32. Kang, J., "Flow Toxicity of High-Frequency Trading and its Impact on Price Volatility: Evidence from the KOSPI 200 Futures Markets", Journal of Futures Markets, 40(2), pp.164~191 (2020)
  33. Kirilenko, A., "The Flash Crash: High-Frequency Trading in an Electronic Market", Journal of Finance, 72(3), pp.967~998 (2017)
  34. Korajczyk, R., "High-Frequency Market Making to Large Institutional Trades", Review of Financial Studies, 32(3), pp.1034~1067 (2019)
  35. Lee, E., "High Frequency Trading in the Korean Index Futures Market", Journal of Futures Markets, 35(1), pp.31~51 (2015)
  36. Lin, H., "A Computing Bias in Estimating the Probability of Informed Trading", Journal of Financial Markets, 14, pp.625~640 (2011)
  37. Madhavan, A., "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks", Review of Financial Studies, 10(4), pp.1035~1064 (1997)
  38. Menkveld, A., "High Frequency Trading and the New Market Makers", Journal of Futures Markets, 16(4), pp.712~740 (2013)
  39. O'Hara, M., "High Frequency Trading and Its Impact on Markets", Financial Analysts Journal, 70(3), pp.18~27 (2014)
  40. Park, S. G., "Speed and Trading Behavior in an Order-driven Market", Pacific-Basin Finance Journal, 53, pp.145~164 (2019)
  41. 정기호, "Is Informed Trading Different Across Investor Types?", Asia-Pacific Journal of Financial Studies, 49(6), pp.839~859 (2020), 한국증권학회[DOI]
  42. Schlag, C., "Price Impacts of Options Volume", Journal of Financial Markets, 8(1), pp.69~87 (2005)
  43. Hans R. Stoll, "High Speed Equities Trading: 1993–2012", Asia-Pacific Journal of Financial Studies, 43(6), pp.767~797 (2014), 한국증권학회[DOI]
  44. Stoll, H. R., "Expiration-day Effects of All Ordinaries Share Price Index Futures: Empirical Evidence and Alternative Settlement Procedures", Australian Journal of Management, 22, pp.139~174 (1997)

관련 논문AI추천

이 간행물의 다른 논문 (7건)