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On the predictive role of large futures trades for S&P500 index returns: An analysis of COT data as an informative trading signal

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  • Chen, Haojun
  • Maher, Daniela

Abstract

This study examines the information role of large S&P500 futures trades (commercial, noncommercial, dealers, asset managers, and hedge funds) in shaping index returns. Using consolidated data across both standard and E-mini futures contracts, we find that commercial firms’ net trading level appears positively correlated with future index returns but the relationship is not stable across time. Based on more recent data, amongst specialist traders, hedge funds appear superior in terms of access to information and/or trading ability but this advantage is only preserved at high frequency. Therefore, the current weekly Commitment of Traders (COT) report – published with a 3-day delay – prevents timely public access to this type of information. Also, trading signals generated by a popular, position-based sentiment index do not produce significant average returns. Overall, this calls into question the reliability of COT-based trading signals used by market professionals.

Suggested Citation

  • Chen, Haojun & Maher, Daniela, 2013. "On the predictive role of large futures trades for S&P500 index returns: An analysis of COT data as an informative trading signal," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 177-201.
  • Handle: RePEc:eee:intfin:v:27:y:2013:i:c:p:177-201
    DOI: 10.1016/j.intfin.2013.09.004
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    as
    1. Aaron Tornell & Chunming Yuan, 2012. "Speculation and hedging in the currency futures markets: Are they informative to the spot exchange rates," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(2), pages 122-151, February.
    2. Chakravarty, Sugato, 2001. "Stealth-trading: Which traders' trades move stock prices?," Journal of Financial Economics, Elsevier, vol. 61(2), pages 289-307, August.
    3. Changyun Wang, 2003. "The behavior and performance of major types of futures traders," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(1), pages 1-31, January.
    4. Xuemin (Sterling) Yan & Zhe Zhang, 2009. "Institutional Investors and Equity Returns: Are Short-term Institutions Better Informed?," The Review of Financial Studies, Society for Financial Studies, vol. 22(2), pages 893-924, February.
    5. Ming‐Yuan Leon Li, 2009. "The dynamics of the relationship between spot and futures markets under high and low variance regimes," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(6), pages 696-718, November.
    6. Krista Schwarz, 2012. "Are speculators informed?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(1), pages 1-23, January.
    7. Changyun Wang, 2003. "Investor sentiment, market timing, and futures returns," Applied Financial Economics, Taylor & Francis Journals, vol. 13(12), pages 891-898.
    8. Harris, Lawrence E & Gurel, Eitan, 1986. "Price and Volume Effects Associated with Changes in the S&P 500 List: New Evidence for the Existence of Price Pressures," Journal of Finance, American Finance Association, vol. 41(4), pages 815-829, September.
    9. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    10. Alexander F. Wolff, 2013. "Investor sentiment and stock prices in the subprime mortgage crisis," Applied Financial Economics, Taylor & Francis Journals, vol. 23(16), pages 1301-1309, August.
    11. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    12. Stefan Nagel, 2012. "Evaporating Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 25(7), pages 2005-2039.
    13. Schmeling, Maik, 2007. "Institutional and individual sentiment: Smart money and noise trader risk?," International Journal of Forecasting, Elsevier, vol. 23(1), pages 127-145.
    14. Bin Ke & Kathy Petroni, 2004. "How Informed Are Actively Trading Institutional Investors? Evidence from Their Trading Behavior before a Break in a String of Consecutive Earnings Increases," Journal of Accounting Research, Wiley Blackwell, vol. 42(5), pages 895-927, December.
    15. Kim, Jae H. & Shamsuddin, Abul & Lim, Kian-Ping, 2011. "Stock return predictability and the adaptive markets hypothesis: Evidence from century-long U.S. data," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 868-879.
    16. Frans A. De Roon & Theo E. Nijman & Chris Veld, 2000. "Hedging Pressure Effects in Futures Markets," Journal of Finance, American Finance Association, vol. 55(3), pages 1437-1456, June.
    17. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    18. Sanders, Dwight R. & Boris, Keith & Manfredo, Mark, 2004. "Hedgers, funds, and small speculators in the energy futures markets: an analysis of the CFTC's Commitments of Traders reports," Energy Economics, Elsevier, vol. 26(3), pages 425-445, May.
    19. Hyndman, Rob J. & Khandakar, Yeasmin, 2008. "Automatic Time Series Forecasting: The forecast Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i03).
    20. Sanders, Dwight R. & Irwin, Scott H. & Merrin, Robert P., 2009. "Smart Money: The Forecasting Ability of CFTC Large Traders in Agricultural Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(2), pages 1-21, August.
    21. Leuthold, Raymond M & Garcia, Philip & Lu, Richard, 1994. "The Returns and Forecasting Ability of Large Traders in the Frozen Pork Bellies Futures Market," The Journal of Business, University of Chicago Press, vol. 67(3), pages 459-473, July.
    22. Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-887, September.
    23. Hoffmann, Arvid O.I. & Post, Thomas & Pennings, Joost M.E., 2013. "Individual investor perceptions and behavior during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 60-74.
    24. Stoll, Hans R. & Whaley, Robert E., 1990. "The Dynamics of Stock Index and Stock Index Futures Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(4), pages 441-468, December.
    25. R. Cont, 2001. "Empirical properties of asset returns: stylized facts and statistical issues," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 223-236.
    26. Natividad Blasco & Pilar Corredor & Rafael Santamaria, 2009. "Information spillovers between derivative markets with differences in transaction costs and liquidity," Applied Economics Letters, Taylor & Francis Journals, vol. 16(10), pages 1039-1047.
    27. Chung, San-Lin & Hung, Chi-Hsiou & Yeh, Chung-Ying, 2012. "When does investor sentiment predict stock returns?," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 217-240.
    28. Anders Wilhelmsson, 2006. "Garch forecasting performance under different distribution assumptions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(8), pages 561-578.
    29. Bessembinder, Hendrik, 1992. "Systematic Risk, Hedging Pressure, and Risk Premiums in Futures Markets," The Review of Financial Studies, Society for Financial Studies, vol. 5(4), pages 637-667.
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    Cited by:

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    4. Lai, Ya-Wen & Lin, Chiou-Fa & Tang, Mei-Ling, 2017. "Mispricing and trader positions in the S&P 500 index futures market," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 250-265.
    5. Paweł Jakubowski & Robert Ślepaczuk & Franciszek Windorbski, 2023. "REnsembling ARIMAX Model in Algorithmic Investment Strategies on Commodities Market," Working Papers 2023-20, Faculty of Economic Sciences, University of Warsaw.

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    More about this item

    Keywords

    Institutional traders; S&P500 futures; Open interest; COT report; Market efficiency;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets

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