IDEAS home Printed from https://ideas.repec.org/a/eee/empfin/v44y2017icp304-315.html
   My bibliography  Save this article

How some bankers made a million by trading just two securities?

Author

Listed:
  • Rinne, Kalle
  • Suominen, Matti

Abstract

We study a pair trading strategy that utilizes short-term return reversals in the stock market. Using U.S. data, we show that returns to our pair trading strategy exceed reasonable estimates for transaction costs. The strategy also generates positive alpha when controlling for the standard risk factors. Second, using transaction level data from Finland, focusing on a popular pair, we provide evidence that these kinds of pair trading returns are compensation from providing liquidity. On the days when the expected returns to our pair trading strategy are the highest, the trading volume is abnormally high and, judging from active brokers’ net trades, nearly 45% of all brokers (or their customers) engage in pair trading in accordance with our trading strategy. These brokers are mainly counterparties to few brokers that trade large quantities of stocks inconsistent with our strategy.

Suggested Citation

  • Rinne, Kalle & Suominen, Matti, 2017. "How some bankers made a million by trading just two securities?," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 304-315.
    • Handle: RePEc:eee:empfin:v:44:y:2017:i:c:p:304-315
    DOI: 10.1016/j.jempfin.2016.12.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927539816301499
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jempfin.2016.12.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
    3. Hansen, Lars Peter & Hodrick, Robert J, 1980. "Forward Exchange Rates as Optimal Predictors of Future Spot Rates: An Econometric Analysis," Journal of Political Economy, University of Chicago Press, vol. 88(5), pages 829-853, October.
    4. Khandani, Amir E. & Lo, Andrew W., 2011. "What happened to the quants in August 2007? Evidence from factors and transactions data," Journal of Financial Markets, Elsevier, vol. 14(1), pages 1-46, February.
    5. John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1993. "Trading Volume and Serial Correlation in Stock Returns," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 905-939.
    6. Hendershott, Terrence & Menkveld, Albert J., 2014. "Price pressures," Journal of Financial Economics, Elsevier, vol. 114(3), pages 405-423.
    7. Stefan Nagel, 2012. "Evaporating Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 25(7), pages 2005-2039.
    8. Bruce N. Lehmann, 1990. "Fads, Martingales, and Market Efficiency," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(1), pages 1-28.
    9. Harrison Hong & Jiang Wang, 2000. "Trading and Returns under Periodic Market Closures," Journal of Finance, American Finance Association, vol. 55(1), pages 297-354, February.
    10. 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.
    11. Petri Jylhä & Kalle Rinne & Matti Suominen, 2014. "Do Hedge Funds Supply or Demand Liquidity?," Review of Finance, European Finance Association, vol. 18(4), pages 1259-1298.
    12. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    13. Michael A. Goldstein & Paul Irvine & Eugene Kandel & Zvi Wiener, 2009. "Brokerage Commissions and Institutional Trading Patterns," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5175-5212, December.
    14. 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.
    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. Dao, Thong M. & McGroarty, Frank & Urquhart, Andrew, 2019. "The Brexit vote and currency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 59(C), pages 153-164.
    2. Vladim'ir Hol'y & Petra Tomanov'a, 2018. "Estimation of Ornstein-Uhlenbeck Process Using Ultra-High-Frequency Data with Application to Intraday Pairs Trading Strategy," Papers 1811.09312, arXiv.org, revised Jul 2022.

    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. Petri Jylhä & Kalle Rinne & Matti Suominen, 2014. "Do Hedge Funds Supply or Demand Liquidity?," Review of Finance, European Finance Association, vol. 18(4), pages 1259-1298.
    2. Ignashkina, Anna & Rinne, Kalle & Suominen, Matti, 2022. "Short-term reversals, returns to liquidity provision and the costs of immediacy," Journal of Banking & Finance, Elsevier, vol. 138(C).
    3. Baltussen, Guido & van Bekkum, Sjoerd & Da, Zhi, 2019. "Indexing and stock market serial dependence around the world," Journal of Financial Economics, Elsevier, vol. 132(1), pages 26-48.
    4. Keunbae Ahn, 2021. "Predictable Fluctuations in the Cross-Section and Time-Series of Asset Prices," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2021.
    5. Butt, Hilal Anwar & Högholm, Kenneth & Sadaqat, Mohsin, 2021. "Reversal returns and expected returns from liquidity provision: Evidence from emerging markets," Journal of Multinational Financial Management, Elsevier, vol. 59(C).
    6. Nicholas Apergis & Vasilios Plakandaras & Ioannis Pragidis, 2022. "Industry momentum and reversals in stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3093-3138, July.
    7. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    8. Kang, Junqing & Lin, Shen & Xiong, Xiong, 2022. "What drives intraday reversal? illiquidity or liquidity oversupply?," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
    9. Gong, Qiang & Liu, Ming & Liu, Qianqiu, 2015. "Momentum is really short-term momentum," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 169-182.
    10. Firoozye, Nikan & Tan, Vincent & Zohren, Stefan, 2023. "Canonical portfolios: Optimal asset and signal combination," Journal of Banking & Finance, Elsevier, vol. 154(C).
    11. Boyarchenko, Nina & Larsen, Lars & Whelan, Paul, 2020. "The Overnight Drift," CEPR Discussion Papers 14462, C.E.P.R. Discussion Papers.
    12. Dyl, Edward A. & Yuksel, H. Zafer & Zaynutdinova, Gulnara R., 2019. "Price reversals and price continuations following large price movements," Journal of Business Research, Elsevier, vol. 95(C), pages 1-12.
    13. Goh, Jihoon & Jeong, Giho & Kang, Jangkoo, 2022. "The reference dependency of short-term reversal," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 195-211.
    14. Russell Jame, 2018. "Liquidity Provision and the Cross Section of Hedge Fund Returns," Management Science, INFORMS, vol. 64(7), pages 3288-3312, July.
    15. Brad M. Barber & Xing Huang & Terrance Odean & Christopher Schwarz, 2022. "Attention‐Induced Trading and Returns: Evidence from Robinhood Users," Journal of Finance, American Finance Association, vol. 77(6), pages 3141-3190, December.
    16. Dong, Xi & Feng, Shu & Ling, Leng & Song, Pingping, 2017. "Dynamic autocorrelation of intraday stock returns," Finance Research Letters, Elsevier, vol. 20(C), pages 274-280.
    17. 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.
    18. Raymond C. W. Leung & Yu-Man Tam, 2021. "Statistical Arbitrage Risk Premium by Machine Learning," Papers 2103.09987, arXiv.org.
    19. Bianchi, Daniele & Babiak, Mykola & Dickerson, Alexander, 2022. "Trading volume and liquidity provision in cryptocurrency markets," Journal of Banking & Finance, Elsevier, vol. 142(C).
    20. Kotaro Miwa, 2019. "Short-Term Return Reversals and Intraday Transactions," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-25, March.

    More about this item

    Keywords

    Pair trading; Short-term return reversals; Liquidity provision;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

    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:eee:empfin:v:44:y:2017:i:c:p:304-315. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jempfin .

    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.