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Empirical Investigation of an Equity Pairs Trading Strategy

Author

Listed:
  • Huafeng (Jason) Chen

    (PBC School of Finance, Tsinghua University, Beijing 100083, China)

  • Shaojun (Jenny) Chen

    (Connor, Clark and Lunn Investment Management, Vancouver, British Columbia V6E 4M3, Canada)

  • Zhuo Chen

    (PBC School of Finance, Tsinghua University, Beijing 100083, China)

  • Feng Li

    (Shanghai Advanced Institute of Finance, Shanghai Jiao Tong University, Shanghai 200030, China)

Abstract

We show that an equity pairs trading strategy generates large and significant abnormal returns. We find that two components of the trading signal (i.e., short-term reversal and pairs momentum) have different dynamic and cross-sectional properties. The pairs momentum is largely explained by the one-month version of the industry momentum. Therefore, the pairs trading profits are largely explained by the short-term reversal and a version of the industry momentum.

Suggested Citation

  • Huafeng (Jason) Chen & Shaojun (Jenny) Chen & Zhuo Chen & Feng Li, 2019. "Empirical Investigation of an Equity Pairs Trading Strategy," Management Science, INFORMS, vol. 65(1), pages 370-389, January.
    • Handle: RePEc:inm:ormnsc:v:65:y:2019:i:1:p:370-389
    DOI: 10.1287/mnsc.2017.2825
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    References listed on IDEAS

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    1. Bali, Turan G. & Cakici, Nusret & Whitelaw, Robert F., 2011. "Maxing out: Stocks as lotteries and the cross-section of expected returns," Journal of Financial Economics, Elsevier, vol. 99(2), pages 427-446, February.
    2. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    3. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    4. Tobias Adrian & Erkko Etula & Tyler Muir, 2014. "Financial Intermediaries and the Cross-Section of Asset Returns," Journal of Finance, American Finance Association, vol. 69(6), pages 2557-2596, December.
    5. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    6. Ang, Andrew & Gorovyy, Sergiy & van Inwegen, Gregory B., 2011. "Hedge fund leverage," Journal of Financial Economics, Elsevier, vol. 102(1), pages 102-126, October.
    7. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    8. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    9. Evan Gatev & William N. Goetzmann & K. Geert Rouwenhorst, 2006. "Pairs Trading: Performance of a Relative-Value Arbitrage Rule," The Review of Financial Studies, Society for Financial Studies, vol. 19(3), pages 797-827.
    10. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    11. Zhi Da & Qianqiu Liu & Ernst Schaumburg, 2014. "A Closer Look at the Short-Term Return Reversal," Management Science, INFORMS, vol. 60(3), pages 658-674, March.
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    Citations

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    Cited by:

    1. Adam Korniejczuk & Robert Ślepaczuk, 2024. "Statistical arbitrage in multi-pair trading strategy based on graph clustering algorithms in US equities market," Working Papers 2024-09, Faculty of Economic Sciences, University of Warsaw.
    2. Binh Do & Robert Faff, 2021. "Pairs trading and idiosyncratic cash flow risk," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3171-3206, June.
    3. Chen, Zilin & Guo, Li & Tu, Jun, 2021. "Media connection and return comovement," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    4. Poutré, Cédric & Dionne, Georges & Yergeau, Gabriel, 2023. "International high-frequency arbitrage for cross-listed stocks," International Review of Financial Analysis, Elsevier, vol. 89(C).
    5. Harvey, Campbell R. & Liu, Yan, 2021. "Lucky factors," Journal of Financial Economics, Elsevier, vol. 141(2), pages 413-435.
    6. Chenyanzi Yu & Tianyang Xie, 2021. "Multivariate Pair Trading by Volatility & Model Adaption Trade-off," Papers 2106.09132, arXiv.org.
    7. Yi, Biao & Xiang, Xueman, 2023. "Pair analyst coverage and return comovement: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    8. Yang, Jinyu & Dong, Dayong & Cao, Jiawei, 2024. "Seemingly manipulated anomaly: Evidence from corporate site visits," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    9. Fernando Caneo & Werner Kristjanpoller, 2021. "Improving statistical arbitrage investment strategy: Evidence from Latin American stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4424-4440, July.

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