IDEAS home Printed from https://ideas.repec.org/a/wly/jfutmk/v35y2015i1p31-51.html
   My bibliography  Save this article

High Frequency Trading in the Korean Index Futures Market

Author

Listed:
  • Eun Jung Lee

Abstract

We investigate the trading behavior of high frequency trading (HFT), the impact of HFT on market quality, its role in the price discovery process, and its profitability, using a very detailed data set of the KOSPI 200 index futures market. We find that high frequency traders (HFTs) do not provide liquidity in the futures market, nor does HFT have any role in enhancing market quality. Indeed, HFT is detrimental to the price discovery process. This finding is contrary to those in the existing literature on HFT in equity markets. We also find that profitable opportunities for HFTs are rare after transaction costs are considered, with the notable exception that foreign HFTs can earn a profit in the index futures market. © 2013 Wiley Periodicals, Inc. Jrl Fut Mark 35:31–51, 2015

Suggested Citation

  • Eun Jung Lee, 2015. "High Frequency Trading in the Korean Index Futures Market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(1), pages 31-51, January.
    • Handle: RePEc:wly:jfutmk:v:35:y:2015:i:1:p:31-51
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jian Yang & David A. Bessler & David J. Leatham, 2001. "Asset storability and price discovery in commodity futures markets: A new look," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(3), pages 279-300, March.
    2. Hyuk Choe & Bong-Chan Kho & René M. Stulz, 2005. "Do Domestic Investors Have an Edge? The Trading Experience of Foreign Investors in Korea," The Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 795-829.
    3. repec:bla:jfinan:v:43:y:1988:i:3:p:617-37 is not listed on IDEAS
    4. Menkveld, Albert J. & Koopman, Siem Jan & Lucas, Andre, 2007. "Modeling Around-the-Clock Price Discovery for Cross-Listed Stocks Using State Space Methods," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 213-225, April.
    5. Krista Schwarz, 2012. "Are speculators informed?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(1), pages 1-23, January.
    6. Grossman, S.J. & Miller, M.H., 1988. "Liquidity And Market Structure," Papers 88, Princeton, Department of Economics - Financial Research Center.
    7. Gerig, Austin & Michayluk, David, 2017. "Automated liquidity provision," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 1-13.
    8. Subrahmanyam, Avanidhar, 1991. "A Theory of Trading in Stock Index Futures," The Review of Financial Studies, Society for Financial Studies, vol. 4(1), pages 17-51.
    9. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    10. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    11. Grinblatt, Mark & Keloharju, Matti, 2000. "The investment behavior and performance of various investor types: a study of Finland's unique data set," Journal of Financial Economics, Elsevier, vol. 55(1), pages 43-67, January.
    12. Hendershott, Terrence & Riordan, Ryan, 2013. "Algorithmic Trading and the Market for Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(4), pages 1001-1024, August.
    13. Tomas Dvorak, 2001. "Do Domestic Investors Have an Information Advantage? Evidence from Indonesia," Center for Development Economics 168, Department of Economics, Williams College.
    14. Harald Hau, 2001. "Location Matters: An Examination of Trading Profits," Journal of Finance, American Finance Association, vol. 56(5), pages 1959-1983, October.
    15. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    16. Chan, Kalok, 1992. "A Further Analysis of the Lead-Lag Relationship between the Cash Market and Stock Index Futures Market," The Review of Financial Studies, Society for Financial Studies, vol. 5(1), pages 123-152.
    17. Joon Chae & Jaeuk Khil & Eun Jung Lee, 2013. "Who Makes Markets? Liquidity Providers Versus Algorithmic Traders," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(5), pages 397-420, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yue Zhao & Difang Wan, 2018. "Institutional high frequency trading and price discovery: Evidence from an emerging commodity futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 243-270, February.
    2. Yang, Yurun & Göncü, Ahmet & Pantelous, Athanasios A., 2018. "Momentum and reversal strategies in Chinese commodity futures markets," International Review of Financial Analysis, Elsevier, vol. 60(C), pages 177-196.
    3. Yang, Heejin & Kutan, Ali M. & Ryu, Doojin, 2019. "Volatility information trading in the index options market: An intraday analysis," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 412-426.
    4. Nimalendran, Mahendrarajah & Rzayev, Khaladdin & Sagade, Satchit, 2024. "High-frequency trading in the stock market and the costs of options market making," LSE Research Online Documents on Economics 124228, London School of Economics and Political Science, LSE Library.
    5. Kang, Jongho & Kang, Jangkoo & Kwon, Kyung Yoon, 2022. "Market versus limit orders of speculative high-frequency traders and price discovery," Research in International Business and Finance, Elsevier, vol. 63(C).
    6. Nimalendran, Mahendrarajah & Rzayev, Khaladdin & Sagade, Satchit, 2022. "High-frequency trading in the stock market and the costs of option market making," LSE Research Online Documents on Economics 118885, London School of Economics and Political Science, LSE Library.
    7. Jeewon Jang & Jangkoo Kang & Jaeram Lee, 2023. "Who has an edge in trading index derivatives?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(3), pages 325-348, March.
    8. Zijian Shi & John Cartlidge, 2024. "Neural stochastic agent‐based limit order book simulation with neural point process and diffusion probabilistic model," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 31(2), June.
    9. Jongho Kang & Jangkoo Kang & Jaeram Lee, 2022. "Who and what drives informed options trading after the market opens?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 338-364, March.
    10. Jangkoo Kang & Kyung Yoon Kwon & Wooyeon Kim, 2020. "Flow toxicity of high‐frequency trading and its impact on price volatility: Evidence from the KOSPI 200 futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(2), pages 164-191, February.
    11. Ersan, Oguz & Simsir, Serif Aziz & Simsek, Koray D. & Hasan, Afan, 2021. "The speed of stock price adjustment to corporate announcements: Insights from Turkey," Emerging Markets Review, Elsevier, vol. 47(C).
    12. Kim, Jun Sik & Ryu, Doojin, 2015. "Are the KOSPI 200 implied volatilities useful in value-at-risk models?," Emerging Markets Review, Elsevier, vol. 22(C), pages 43-64.
    13. Benjamin Clapham & Martin Haferkorn & Kai Zimmermann, 2020. "Does Speed Matter? The Role Of High‐Frequency Trading For Order Book Resiliency," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 43(4), pages 933-964, December.
    14. Atilgan, Yigit & Demirtas, K. Ozgur & Simsek, Koray D., 2016. "Derivative markets in emerging economies: A survey," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 88-102.
    15. Phiri, Andrew, 2017. "Threshold convergence between the federal fund rate and South African equity returns around the colocation period," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 13(1).
    16. Viktor Manahov, 2021. "High‐frequency trading order cancellations and market quality: Is stricter regulation the answer?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5385-5407, October.
    17. Olgun, Onur & Ekinci, Cumhur & Arıkan, Ramazan, 2024. "The performance of selected high-frequency trading proxies: An application on Turkish index futures market," Finance Research Letters, Elsevier, vol. 65(C).
    18. Zijian Shi & John Cartlidge, 2023. "Neural Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology," Papers 2303.00080, arXiv.org.
    19. Lee, Jaeram & Kang, Jangkoo & Ryu, Doojin, 2015. "Common deviation and regime-dependent dynamics in the index derivatives markets," Pacific-Basin Finance Journal, Elsevier, vol. 33(C), pages 1-22.
    20. Zhou, Hao & Kalev, Petko S., 2019. "Algorithmic and high frequency trading in Asia-Pacific, now and the future," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 186-207.
    21. Benjamin Clapham & Martin Haferkorn & Kai Zimmermann, 2023. "The Impact of High-Frequency Trading on Modern Securities Markets," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(1), pages 7-24, February.
    22. Ramos, Henrique Pinto & Perlin, Marcelo Scherer, 2020. "Does algorithmic trading harm liquidity? Evidence from Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    23. Ekinci, Cumhur & Ersan, Oğuz, 2022. "High-frequency trading and market quality: The case of a “slightly exposed” market," International Review of Financial Analysis, Elsevier, vol. 79(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ya‐Kai Chang & Robin K. Chou, 2022. "Algorithmic trading and market quality: Evidence from the Taiwan index futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1837-1855, October.
    2. Liew, Ping-Xin & Lim, Kian-Ping & Goh, Kim-Leng, 2018. "Foreign equity flows: Boon or bane to the liquidity of Malaysian stock market?," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 161-181.
    3. Diego A. Agudelo, 2007. "Do Local or Foreign traders know more in an emerging market? A possible solution of the puzzle," Documentos de Trabajo de Valor Público 11117, Universidad EAFIT.
    4. S. Sarah Zhang, 2018. "Need for speed: Hard information processing in a high‐frequency world," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 3-21, January.
    5. Jieun Lee, 2018. "Who Improves or Worsens Liquidity in the Korean Treasury Bond Market?," Working Papers 2018-3, Economic Research Institute, Bank of Korea.
    6. Yue Zhao & Difang Wan, 2018. "Institutional high frequency trading and price discovery: Evidence from an emerging commodity futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 243-270, February.
    7. Jacob Gyntelberg & Mico Loretan & Tientip Subhanij & Eric Chan, 2010. "Private information, stock markets, and exchange rates," BIS Papers chapters, in: Bank for International Settlements (ed.), The international financial crisis and policy challenges in Asia and the Pacific, volume 52, pages 186-210, Bank for International Settlements.
    8. Andrade, Sandro C. & Kohlscheen, Emanuel, 2010. "Pessimistic Foreign Investors and Turmoil in Emerging Markets : The Case of Brazil in 2002," The Warwick Economics Research Paper Series (TWERPS) 926, University of Warwick, Department of Economics.
    9. Hill, Brian & Michalski, Tomasz, 2018. "Risk versus ambiguity and international security design," Journal of International Economics, Elsevier, vol. 113(C), pages 74-105.
    10. Nicolas Coeurdacier & Hélène Rey, 2013. "Home Bias in Open Economy Financial Macroeconomics," Journal of Economic Literature, American Economic Association, vol. 51(1), pages 63-115, March.
    11. Stephanie E. Curcuru & Charles P. Thomas & Francis E. Warnock & Jon Wongswan, 2011. "U.S. international equity investment and past prospective returns," International Finance Discussion Papers 1016, Board of Governors of the Federal Reserve System (U.S.).
    12. Bae, Kee-Hong & Ozoguz, Arzu & Tan, Hongping & Wirjanto, Tony S., 2012. "Do foreigners facilitate information transmission in emerging markets?," Journal of Financial Economics, Elsevier, vol. 105(1), pages 209-227.
    13. repec:hal:spmain:info:hdl:2441/c8dmi8nm4pdjkuc9g81p7j6b6 is not listed on IDEAS
    14. Chiao, Chaoshin & Chen, Shin-Hui & Hu, Jia-Ming, 2010. "Informational differences among institutional investors in an increasingly institutionalized market," Japan and the World Economy, Elsevier, vol. 22(2), pages 118-129, March.
    15. Wang, Shu-Feng & Lee, Kuan-Hui, 2015. "Do foreign short-sellers predict stock returns? Evidence from daily short-selling in Korean stock market," Pacific-Basin Finance Journal, Elsevier, vol. 32(C), pages 56-75.
    16. Bellia, Mario & Pelizzon, Loriana & Subrahmanyam, Marti & Uno, Jun & Yuferova, Darya, 2017. "Coming early to the party," SAFE Working Paper Series 182, Leibniz Institute for Financial Research SAFE.
      • Mario Bellia & Loriana Pelizzon & Marti G. Subrahmanyam & Jun Uno & Darya Yuferova, 2020. "Coming early to the party," Working Papers 2020:11, Department of Economics, University of Venice "Ca' Foscari".
    17. Chan, Kalok & Menkveld, Albert J. & Yang, Zhishu, 2006. "Are Domestic Investors Better Informed than Foreign Investors? : Evidence from the Perfectly Segmented Market in China," Serie Research Memoranda 0004, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    18. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2011. "Recent trends in trading activity and market quality," Journal of Financial Economics, Elsevier, vol. 101(2), pages 243-263, August.
    19. Ranaldo, Angelo & Somogyi, Fabricius, 2021. "Asymmetric information risk in FX markets," Journal of Financial Economics, Elsevier, vol. 140(2), pages 391-411.
    20. Chen, Li-Wen & Johnson, Shane A. & Lin, Ji-Chai & Liu, Yu-Jane, 2009. "Information, sophistication, and foreign versus domestic investors' performance," Journal of Banking & Finance, Elsevier, vol. 33(9), pages 1636-1651, September.
    21. Chen, Wei-Peng & Chung, Huimin & Lien, Donald, 2016. "Price discovery in the S&P 500 index derivatives markets," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 438-452.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:jfutmk:v:35:y:2015:i:1:p:31-51. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0270-7314/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.