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Is There Smart Money? How Information in the Commodity Futures Market Is Priced into the Cross Section of Stock Returns with Delay

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  • Ho, Steven Wei
  • Lauwers, Alexandre R.

Abstract

We document a new empirical phenomenon in which the aggregate positions of money managers, who are sophisticated speculators in the commodity futures market, as disclosed by the Disaggregated Commitments of Traders reports, can predict the cross section of commodity producers’ stock returns in the subsequent week. We employ a number of cross-sectional methods, including calendar-time regression analysis, single-sort, double-sort, and Fama–MacBeth regressions, to confirm the predictability results. The results are more pronounced in firms with higher information asymmetry. We thus add more empirical evidence to the literature on costly information processing, which leads to gradual information diffusion across asset markets.

Suggested Citation

  • Ho, Steven Wei & Lauwers, Alexandre R., 2023. "Is There Smart Money? How Information in the Commodity Futures Market Is Priced into the Cross Section of Stock Returns with Delay," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 58(8), pages 3201-3230, December.
  • Handle: RePEc:cup:jfinqa:v:58:y:2023:i:8:p:3201-3230_1
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    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. Adrian Fernandez-Perez & Ana-Maria Fuertes & Joelle Miffre, 2017. "Commodity Markets, Long-Run Predictability, and Intertemporal Pricing," Review of Finance, European Finance Association, vol. 21(3), pages 1159-1188.
    3. Lior Menzly & Oguzhan Ozbas, 2010. "Market Segmentation and Cross‐predictability of Returns," Journal of Finance, American Finance Association, vol. 65(4), pages 1555-1580, August.
    4. Bessembinder, Hendrik & Chan, Kalok & Seguin, Paul J., 1996. "An empirical examination of information, differences of opinion, and trading activity," Journal of Financial Economics, Elsevier, vol. 40(1), pages 105-134, January.
    5. Christoffersen, Peter & Lunde, Asger & Olesen, Kasper V., 2019. "Factor Structure in Commodity Futures Return and Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(3), pages 1083-1115, June.
    6. Eugene F. Fama & Kenneth R. French, 2008. "Dissecting Anomalies," Journal of Finance, American Finance Association, vol. 63(4), pages 1653-1678, August.
    7. Stijn Van Nieuwerburgh & Laura Veldkamp, 2010. "Information Acquisition and Under-Diversification," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 779-805.
    8. Marc Bohmann & Vinay Patel, 2020. "Information Leakage in Energy Derivatives around News Announcements," Published Paper Series 2020-2, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    9. Ing-Haw Cheng & Andrei Kirilenko & Wei Xiong, 2015. "Convective Risk Flows in Commodity Futures Markets," Review of Finance, European Finance Association, vol. 19(5), pages 1733-1781.
    10. Louis Ederington & Jae Ha Lee, 2002. "Who Trades Futures and How: Evidence from the Heating Oil Futures Market," The Journal of Business, University of Chicago Press, vol. 75(2), pages 353-374, April.
    11. Geetesh Bhardwaj & Gary B. Gorton & K. Geert Rouwenhorst, 2014. "Editor's Choice Fooling Some of the People All of the Time: The Inefficient Performance and Persistence of Commodity Trading Advisors," The Review of Financial Studies, Society for Financial Studies, vol. 27(11), pages 3099-3132.
    12. Mixon, Scott & Onur, Esen & Riggs, Lynn, 2018. "Integrating swaps and futures: A new direction for commodity research," Journal of Commodity Markets, Elsevier, vol. 10(C), pages 3-21.
    13. Carter, Colin A & Rausser, Gordon C & Schmitz, Andrew, 1983. "Efficient Asset Portfolios and the Theory of Normal Backwardation," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 319-331, April.
    14. 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.
    15. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    16. Shiyang Huang & Maureen O’Hara & Zhuo Zhong, 2021. "Innovation and Informed Trading: Evidence from Industry ETFs [Short interest, institutional ownership, and stock returns]," The Review of Financial Studies, Society for Financial Studies, vol. 34(3), pages 1280-1316.
    17. Kewei Hou & Chen Xue & Lu Zhang, 2020. "Replicating Anomalies," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2019-2133.
    18. Lauren Cohen & Andrea Frazzini, 2008. "Economic Links and Predictable Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1977-2011, August.
    19. Gary B. Gorton & Fumio Hayashi & K. Geert Rouwenhorst, 2013. "The Fundamentals of Commodity Futures Returns," Review of Finance, European Finance Association, vol. 17(1), pages 35-105.
    20. Priyank Gandhi & Hanno Lustig, 2015. "Size Anomalies in U.S. Bank Stock Returns," Journal of Finance, American Finance Association, vol. 70(2), pages 733-768, April.
    21. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    22. Acharya, Viral V. & Lochstoer, Lars A. & Ramadorai, Tarun, 2013. "Limits to arbitrage and hedging: Evidence from commodity markets," Journal of Financial Economics, Elsevier, vol. 109(2), pages 441-465.
    23. 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.
    24. Ronnie Sadka & Anna Scherbina, 2007. "Analyst Disagreement, Mispricing, and Liquidity," Journal of Finance, American Finance Association, vol. 62(5), pages 2367-2403, October.
    25. Hong, Harrison & Yogo, Motohiro, 2012. "What does futures market interest tell us about the macroeconomy and asset prices?," Journal of Financial Economics, Elsevier, vol. 105(3), pages 473-490.
    26. 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.
    27. repec:bla:jfinan:v:53:y:1998:i:3:p:1015-1052 is not listed on IDEAS
    28. 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.
    29. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    30. Buchanan, W. K. & Hodges, P. & Theis, J., 2001. "Which way the natural gas price: an attempt to predict the direction of natural gas spot price movements using trader positions," Energy Economics, Elsevier, vol. 23(3), pages 279-293, May.
    31. Ekkehart Boehmer & Charles M Jones & Juan (Julie) Wu & Xiaoyan Zhang, 2020. "What Do Short Sellers Know?," Review of Finance, European Finance Association, vol. 24(6), pages 1203-1235.
    32. Gary Gorton & K. Geert Rouwenhorst, 2006. "Facts and Fantasies about Commodity Futures," Financial Analysts Journal, Taylor & Francis Journals, vol. 62(2), pages 47-68, March.
    33. Bessembinder, Hendrik & Seguin, Paul J, 1992. "Futures-Trading Activity and Stock Price Volatility," Journal of Finance, American Finance Association, vol. 47(5), pages 2015-2034, December.
    34. Michaelides, Alexander & Milidonis, Andreas & Nishiotis, George P. & Papakyriakou, Panayiotis, 2015. "The adverse effects of systematic leakage ahead of official sovereign debt rating announcements," Journal of Financial Economics, Elsevier, vol. 116(3), pages 526-547.
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