IDEAS home Printed from https://ideas.repec.org/a/eee/beexfi/v31y2021ics2214635021000848.html
   My bibliography  Save this article

Economic news and the cross-section of commodity futures returns

Author

Listed:
  • Bannigidadmath, Deepa
  • Narayan, Paresh Kumar

Abstract

This paper examines whether the economic news pessimism risk factor is priced by the investors in the cross-section of commodity futures returns. Using a unique economic news dataset, we find that the pessimism risk factor is priced in a range of commodity portfolios. Our analysis reveals a strong asymmetric effect of news on the commodity futures excess returns, and commodities with low basis, low momentum, low open interest and high volatility are exposed to negative news risk. We show that trading on pessimistic news yields meaningful profits that are unexplained by the market, basis and momentum factors.

Suggested Citation

  • Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2021. "Economic news and the cross-section of commodity futures returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
  • Handle: RePEc:eee:beexfi:v:31:y:2021:i:c:s2214635021000848
    DOI: 10.1016/j.jbef.2021.100540
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214635021000848
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jbef.2021.100540?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
    ---><---

    References listed on IDEAS

    as
    1. Michael J. Brennan & Ashley W. Wang & Yihong Xia, 2004. "Estimation and Test of a Simple Model of Intertemporal Capital Asset Pricing," Journal of Finance, American Finance Association, vol. 59(4), pages 1743-1776, August.
    2. Salisu, Afees A. & Akanni, Lateef & Raheem, Ibrahim, 2020. "The COVID-19 global fear index and the predictability of commodity price returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    3. 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.
    4. 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.
    5. Gao, Lei & Han, Yufeng & Zhengzi Li, Sophia & Zhou, Guofu, 2018. "Market intraday momentum," Journal of Financial Economics, Elsevier, vol. 129(2), pages 394-414.
    6. Kothari, S.P. & Lewellen, Jonathan & Warner, Jerold B., 2006. "Stock returns, aggregate earnings surprises, and behavioral finance," Journal of Financial Economics, Elsevier, vol. 79(3), pages 537-568, March.
    7. Gao, Lin & Süss, Stephan, 2015. "Market sentiment in commodity futures returns," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 84-103.
    8. Bird, Ron & Yeung, Danny, 2012. "How do investors react under uncertainty?," Pacific-Basin Finance Journal, Elsevier, vol. 20(2), pages 310-327.
    9. Ing-Haw Cheng & Wei Xiong, 2014. "Why Do Hedgers Trade So Much?," The Journal of Legal Studies, University of Chicago Press, vol. 43(S2), pages 183-207.
    10. Padhan, Rakesh & Prabheesh, K.P., 2021. "The economics of COVID-19 pandemic: A survey," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 220-237.
    11. Ron Bird & Daniel Choi & Danny Yeung, 2014. "Market uncertainty, market sentiment, and the post-earnings announcement drift," Review of Quantitative Finance and Accounting, Springer, vol. 43(1), pages 45-73, July.
    12. Elder, John & Miao, Hong & Ramchander, Sanjay, 2012. "Impact of macroeconomic news on metal futures," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 51-65.
    13. Narayan, Paresh Kumar & Narayan, Seema & Sharma, Susan Sunila, 2013. "An analysis of commodity markets: What gain for investors?," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3878-3889.
    14. Michael Sockin & Wei Xiong, 2015. "Informational Frictions and Commodity Markets," Journal of Finance, American Finance Association, vol. 70(5), pages 2063-2098, October.
    15. Yang, Fan, 2013. "Investment shocks and the commodity basis spread," Journal of Financial Economics, Elsevier, vol. 110(1), pages 164-184.
    16. Gurdip Bakshi & Xiaohui Gao & Alberto G. Rossi, 2019. "Understanding the Sources of Risk Underlying the Cross Section of Commodity Returns," Management Science, INFORMS, vol. 65(2), pages 619-641, February.
    17. Paul C. Tetlock, 2011. "All the News That's Fit to Reprint: Do Investors React to Stale Information?," Review of Financial Studies, Society for Financial Studies, vol. 24(5), pages 1481-1512.
    18. Diego García, 2013. "Sentiment during Recessions," Journal of Finance, American Finance Association, vol. 68(3), pages 1267-1300, June.
    19. John Y. Campbell & Tuomo Vuolteenaho, 2004. "Bad Beta, Good Beta," American Economic Review, American Economic Association, vol. 94(5), pages 1249-1275, December.
    20. Han, Yufeng & Yang, Ke & Zhou, Guofu, 2013. "A New Anomaly: The Cross-Sectional Profitability of Technical Analysis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(5), pages 1433-1461, October.
    21. Szakmary, Andrew C. & Shen, Qian & Sharma, Subhash C., 2010. "Trend-following trading strategies in commodity futures: A re-examination," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 409-426, February.
    22. Basu, Devraj & Miffre, Joëlle, 2013. "Capturing the risk premium of commodity futures: The role of hedging pressure," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2652-2664.
    23. 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.
    24. Smales, Lee A., 2016. "News sentiment and bank credit risk," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 37-61.
    25. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    26. Deepa Bannigidadmath & Philippus Albertus Truter, 2021. "Do Asymmetries in the Indian Equity Market Exist during the COVID-19?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(10), pages 2838-2851, August.
    27. Jennifer Francis & Ryan Lafond & Per Olsson & Katherine Schipper, 2007. "Information Uncertainty and Post-Earnings-Announcement-Drift," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(3-4), pages 403-433.
    28. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    29. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    30. Narayan, Paresh Kumar & Bannigidadmath, Deepa & Narayan, Seema, 2021. "How much does economic news influence bilateral exchange rates?," Journal of International Money and Finance, Elsevier, vol. 115(C).
    31. Dieter Hess & He Huang & Alexandra Niessen, 2008. "How do commodity futures respond to macroeconomic news?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 22(2), pages 127-146, June.
    32. Scott R. Baker & Tucker S. McElroy & Xuguang S. Sheng, 2020. "Expectation Formation Following Large, Unexpected Shocks," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 287-303, May.
    33. Dornbusch, Rudiger, 1976. "Expectations and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1161-1176, December.
    34. 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.
    35. 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.
    36. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    37. Roache, Shaun K. & Rossi, Marco, 2010. "The effects of economic news on commodity prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(3), pages 377-385, August.
    38. Lara Cathcart & Nina M. Gotthelf & Matthias Uhl & Yining Shi, 2020. "News sentiment and sovereign credit risk," European Financial Management, European Financial Management Association, vol. 26(2), pages 261-287, March.
    39. Elton, Edwin J & Gruber, Martin J & Rentzler, Joel, 1989. "New Public Offerings, Information, and Investor Rationality: The Case of Publicly Offered Commodity Funds," The Journal of Business, University of Chicago Press, vol. 62(1), pages 1-15, January.
    40. Yezhou Sha & Susan Sunila Sharma, 2020. "Research on Pandemics Special Issue of the Journal Emerging Markets Finance and Trade," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2133-2137, August.
    41. Michael Dewally & Louis H. Ederington & Chitru S. Fernando, 2013. "Determinants of Trader Profits in Commodity Futures Markets," Review of Financial Studies, Society for Financial Studies, vol. 26(10), pages 2648-2683.
    42. Lily Fang & Joel Peress, 2009. "Media Coverage and the Cross‐section of Stock Returns," Journal of Finance, American Finance Association, vol. 64(5), pages 2023-2052, October.
    43. Frankel, Jeffrey A & Hardouvelis, Gikas A, 1985. "Commodity Prices, Money Surprises and Fed Credibility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 17(4), pages 425-438, November.
    44. Marta Szymanowska & Frans Roon & Theo Nijman & Rob Goorbergh, 2014. "An Anatomy of Commodity Futures Risk Premia," Journal of Finance, American Finance Association, vol. 69(1), pages 453-482, February.
    45. Jeffrey A. Frankel, 1986. "Expectations and Commodity Price Dynamics: The Overshooting Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(2), pages 344-348.
    46. Susan Sunila Sharma & Yezhou Sha, 2020. "Part A: Special Section on COVID-19 Research," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(15), pages 3551-3553, December.
    47. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    48. Narayan, Paresh Kumar & Bannigidadmath, Deepa, 2021. "Financial news and CDS spreads," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    49. Jennifer Francis & Ryan Lafond & Per Olsson & Katherine Schipper, 2007. "Information Uncertainty and Post‐Earnings‐Announcement‐Drift," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(3‐4), pages 403-433, April.
    50. Scott W. Barnhart, 1989. "The Effects of Macroeconomic Announcements on Commodity Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 389-403.
    51. Scott W. Barnhart, 1988. "Commodity futures prices and economic news: An examination under alternative monetary regimes," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 8(4), pages 483-510, August.
    52. Umit G. Gurun & Alexander W. Butler, 2012. "Don't Believe the Hype: Local Media Slant, Local Advertising, and Firm Value," Journal of Finance, American Finance Association, vol. 67(2), pages 561-598, April.
    53. Ghura, Dhaneshwar, 1990. "How commodity prices respond to macroeconomic news," Policy Research Working Paper Series 354, The World Bank.
    54. Hess, Dieter E. & Huang, He & Niessen-Ruenzi, Alexandra, 2008. "How do commodity futures respond to macroeconomic news?," CFR Working Papers 08-03, University of Cologne, Centre for Financial Research (CFR).
    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. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2022. "Economic importance of correlations for energy and other commodities," Energy Economics, Elsevier, vol. 107(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. Narayan, Paresh Kumar & Bannigidadmath, Deepa & Narayan, Seema, 2021. "How much does economic news influence bilateral exchange rates?," Journal of International Money and Finance, Elsevier, vol. 115(C).
    2. Narayan, Paresh Kumar & Bannigidadmath, Deepa, 2021. "Financial news and CDS spreads," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    3. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2022. "Economic importance of correlations for energy and other commodities," Energy Economics, Elsevier, vol. 107(C).
    4. Jun Yuan & Qi Xu & Ying Wang, 2023. "Probability weighting in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 516-548, April.
    5. Sakkas, Athanasios & Tessaromatis, Nikolaos, 2020. "Factor based commodity investing," Journal of Banking & Finance, Elsevier, vol. 115(C).
    6. Jo, Yonghwan & Kim, Jihee & Santos, Francisco, 2022. "The impact of liquidity risk in the Chinese banking system on the global commodity markets," Journal of Empirical Finance, Elsevier, vol. 66(C), pages 23-50.
    7. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Gonzalez-Fernandez, Marcos & Miffre, Joelle, 2020. "Fear of hazards in commodity futures markets," Journal of Banking & Finance, Elsevier, vol. 119(C).
    8. Nikolay Gospodinov & Ibrahim Jamali, 2013. "Monetary policy surprises, positions of traders, and changes in commodity futures prices," FRB Atlanta Working Paper 2013-12, Federal Reserve Bank of Atlanta.
    9. Boos, Dominik & Grob, Linus, 2023. "Tracking speculative trading," Journal of Financial Markets, Elsevier, vol. 64(C).
    10. Bianchi, Robert J. & Fan, John Hua & Miffre, Joëlle & Zhang, Tingxi, 2023. "Exploiting the dynamics of commodity futures curves," Journal of Banking & Finance, Elsevier, vol. 154(C).
    11. Nikolay Gospodinov & Ibrahim Jamali, 2018. "Monetary policy uncertainty, positions of traders and changes in commodity futures prices," European Financial Management, European Financial Management Association, vol. 24(2), pages 239-260, March.
    12. Akihiro Omura & Neda Todorova, 2019. "The quantile dependence of commodity futures markets on news sentiment," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 818-837, July.
    13. Cotter, John & Eyiah-Donkor, Emmanuel & Potì, Valerio, 2023. "Commodity futures return predictability and intertemporal asset pricing," Journal of Commodity Markets, Elsevier, vol. 31(C).
    14. Charles W. Calomiris & Nida Çakır Melek & Harry Mamaysky, 2021. "Predicting the Oil Market," NBER Working Papers 29379, National Bureau of Economic Research, Inc.
    15. Bonsall, Samuel B. & Green, Jeremiah & Muller, Karl A., 2020. "Market uncertainty and the importance of media coverage at earnings announcements," Journal of Accounting and Economics, Elsevier, vol. 69(1).
    16. Betton, Sandra & Davis, Frederick & Walker, Thomas, 2018. "Rumor rationales: The impact of message justification on article credibility," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 271-287.
    17. Zaremba, Adam & Mikutowski, Mateusz & Szczygielski, Jan Jakub & Karathanasopoulos, Andreas, 2021. "The alpha momentum effect in commodity markets," Energy Economics, Elsevier, vol. 93(C).
    18. Atri, Hanen & Kouki, Saoussen & Gallali, Mohamed imen, 2021. "The impact of COVID-19 news, panic and media coverage on the oil and gold prices: An ARDL approach," Resources Policy, Elsevier, vol. 72(C).
    19. Narayan, Paresh Kumar & Narayan, Seema, 2021. "Do opinion polls on government preference influence stock returns?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    20. John Hua Fan & Sebastian Binnewies & Sanuri De Silva, 2023. "Wisdom of crowds and commodity pricing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(8), pages 1040-1068, August.

    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:beexfi:v:31:y:2021:i:c:s2214635021000848. 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: https://www.journals.elsevier.com/journal-of-behavioral-and-experimental-finance .

    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.