Does Speculation in Futures Markets Improve Commodity Hedging Decisions?

Published Online:https://doi.org/10.1287/mnsc.2024.04940

References

  • Adam T, Fernando C (2006) Hedging, speculation, and shareholder value. J. Financial Econom. 81(2):283–309.CrossrefGoogle Scholar
  • Ahmed S, Tsvetanov D (2016) The predictive performance of commodity futures risk factors. J. Banking Finance 71:20–36.CrossrefGoogle Scholar
  • Anderson R, Danthine J-P (1981) Cross hedging. J. Political Econom. 89(6):1182–1196.CrossrefGoogle Scholar
  • Anderson R, Danthine J-P (1983) Hedger diversity in futures markets. Econom. J. 93(370):370–389.Google Scholar
  • Asness C, Moskowitz T, Pedersen L (2013) Value and momentum everywhere. J. Finance 68(3):929–985.CrossrefGoogle Scholar
  • Baillie RT, Myers RJ (1991) Bivariate GARCH estimation of the optimal commodity futures hedge. J. Appl. Econometrics 6(2):109–124.CrossrefGoogle Scholar
  • Baker M, Wurgler J (2006) Investor sentiment and the cross‐section of stock returns. J. Finance 61(4):1645–1680. CrossrefGoogle Scholar
  • Bakshi G, Panayotov G, Skoulakis G (2011) In search of explanation for the predictive ability of the Baltic Dry Index for global stock returns, commodity returns, and global economic activity. Preprint, submitted January 25, https://doi.org/10.2139/ssrn.1747345.Google Scholar
  • Barroso P, Reichenecker JA, Menichetti MJ (2022) Hedging with an edge: K-parametric currency overlay. Management Sci. 68(1):669–689.LinkGoogle Scholar
  • Bartram S (2019) Corporate hedging and speculation with derivatives. J. Corporate Finance 57:9–34.CrossrefGoogle Scholar
  • Basu D, Miffre J (2013) Capturing the risk premium of commodity futures: The role of hedging pressure. J. Banking Finance 37(7):2652–2664.CrossrefGoogle Scholar
  • Bates JM, Granger CW (1969) The combination of forecasts. J. Oper. Res. Soc. 20(4):451–468.CrossrefGoogle Scholar
  • Bekaert G, Engstrom E, Xu N (2022) The time variation in risk appetite and uncertainty. Management Sci. 68(6):3975–4004.LinkGoogle Scholar
  • Bessembinder H, Chan K (1992) Time-varying risk premia and forecastable returns in futures markets. J. Financial Econom. 32(2):169–193.CrossrefGoogle Scholar
  • Bjornson B, Carter C (1997) New evidence on agricultural commodity return performance under time-varying risk. Amer. J. Agricultural Econom. 79(3):918–930.CrossrefGoogle Scholar
  • Bodnar G, Hayt G, Marston R (1998) Wharton survey of financial risk management by US non-financial firms. Financial Management 27(4):70–91.CrossrefGoogle Scholar
  • Boons M, Prado M (2019) Basis-momentum. J. Finance 74(1):239–279.CrossrefGoogle Scholar
  • Brandt M, Santa-Clara P, Valkanov R (2009) Parametric portfolio policies: Exploiting characteristics in the cross-section of equity returns. Rev. Financial Stud. 22(9):3444–3447.CrossrefGoogle Scholar
  • Brown GW, Crabb PR, Haushalter D (2006) Are firms successful at selective hedging. J. Bus. 79(6):2925–2949.CrossrefGoogle Scholar
  • Cakici N, Fieberg C, Metko D, Zaremba A (2023) Machine learning goes global: Cross-sectional return predictability in international stock markets. J. Econom. Dynam. Control 155:104725.CrossrefGoogle Scholar
  • Campbell JY, Thompson SB (2008) Predicting excess stock returns out of sample: Can anything beat the historical average? Rev. Financial Stud. 21(4):1509–1531.CrossrefGoogle Scholar
  • Carter CA, Schaefer KA, Scheitrum D (2021) Raising cane: Hedging calamity in Australian sugar. J. Commodity Markets 21:100126.CrossrefGoogle Scholar
  • Chalmin P (1987) Traders and Merchants: Panorama of International Commodity Trading (Taylor & Francis, Switzerland).Google Scholar
  • Chen L, Pelger M, Zhu J (2023) Deep learning in asset pricing. Management Sci. 70(2):714–750.LinkGoogle Scholar
  • Cheng I-H, Xiong W (2014) Why do hedgers trade so much? J. Legal Stud. 43(S2):183–207.CrossrefGoogle Scholar
  • Cotter J, Hanly J (2010) Time-varying risk aversion: An application to energy hedging. Energy Econom. 32(2):432–441.CrossrefGoogle Scholar
  • Cotter J, Hanly J (2012) A utility-based approach to energy hedging. Energy Econom. 34(3):817–827.CrossrefGoogle Scholar
  • Cotter J, Eyiah-Donkor E, Potì V (2023) Commodity futures return predictability and intertemporal asset pricing. J. Commodity Markets 31:100289.CrossrefGoogle Scholar
  • Diebold FX, Mariano RS (1995) Comparing predictive accuracy. J. Bus. Econom. Statist. 13(3):253–263.CrossrefGoogle Scholar
  • The Economist (2022) A nickel-hedging fiasco raises three big questions. (March 19), https://www.economist.com/finance-and-economics/2022/03/19/a-nickel-trading-fiasco-raises-three-big-questions.Google Scholar
  • Ederington LH (1979) The hedging performance of the new futures markets. J. Finance 34(1):157–170.CrossrefGoogle Scholar
  • Fernandez-Perez A, Frijns B, Fuertes A-M, Miffre J (2018) The skewness of commodity futures returns. J. Banking Finance 86:143–158.CrossrefGoogle Scholar
  • Fischer T, Krauss C (2018) Deep learning with long short-term memory networks for financial market predictions. Eur. J. Oper. Res. 270(2):654–669.CrossrefGoogle Scholar
  • Furió D, Torró H (2020) Optimal hedging under biased energy futures markets. Energy Econom. 88:104750.CrossrefGoogle Scholar
  • Gargano A, Timmermann A (2014) Forecasting commodity price indexes using macroeconomic and financial predictors. Internat. J. Forecasting 30(3):825–843.CrossrefGoogle Scholar
  • Géczy C, Minton B, Schrand C (1997) Why firms use currency derivatives? J. Finance 52(4):1323–1354.CrossrefGoogle Scholar
  • Gu M, Kang W, Lou D, Tang K (2019) Relative basis: A better measure of the convenience yield. Preprint, submitted June 21, https://doi.org/10.2139/ssrn.3404561.Google Scholar
  • Gu S, Kelly B, Xiu D (2020) Empirical asset pricing via machine learning. Rev. Financial Stud. 33(5):2223–2273.CrossrefGoogle Scholar
  • Guidolin M, Pedio M (2021) Forecasting commodity futures returns with stepwise regressions: Do commodity-specific factors help? Ann. Oper. Res. 299(1):1317–1356.CrossrefGoogle Scholar
  • Hollstein F, Prokopczuk M, Tharann B, Wese Simen C (2021) Predictability in commodity markets: Evidence from more than a century. J. Commodity Markets 24:100171.CrossrefGoogle Scholar
  • Hong H, Yogo M (2012) What does futures market interest tell us about the macroeconomy and asset prices? J. Financial Econom. 105(3):473–490.CrossrefGoogle Scholar
  • Hurvich CM, Tsai C-L (1989) Regression and time series model selection in small samples. Biometrika 76(2):297–307.CrossrefGoogle Scholar
  • Jurado K, Ludvigson S, Ng S (2015) Measuring uncertainty. Amer. Econom. Rev. 105(3):1177–1215.CrossrefGoogle Scholar
  • Kang W, Rouwenhorst KG, Tang K (2020) A tale of two premiums: The role of hedgers and speculators in commodity futures markets. J. Finance 75(1):377–417.CrossrefGoogle Scholar
  • Kilian L (2009) Not all oil price shocks are alike: Disentangling demand and supply shocks in the crude oil market. Amer. Econom. Rev. 99(3):1053–1069.CrossrefGoogle Scholar
  • Leland H (1998) Agency costs, risk management, and capital structure. J. Finance 53(4):1213–1243.CrossrefGoogle Scholar
  • Marshall BR, Nguyen NH, Visaltanachoti N (2012) Commodity liquidity measurement and transaction costs. Rev. Financial Stud. 25(2):599–638.CrossrefGoogle Scholar
  • McCracken MW, Ng S (2016) FRED-MD: A monthly database for macroeconomic research. J. Bus. Econom. Statist. 34(4):574–589.CrossrefGoogle Scholar
  • McCracken MW, Valente G (2018) Asymptotic inference for performance fees and the predictability of asset returns. J. Bus. Econom. Statist. 36(3):426–437.CrossrefGoogle Scholar
  • Miffre J, Rallis G (2007) Momentum strategies in commodity futures markets. J. Banking Finance 31(6):1863–1886.CrossrefGoogle Scholar
  • Neely C, Rapach D, Tu J, Zhou G (2014) Forecasting the equity risk premium: The role of technical indicators. Management Sci. 60(7):1772–1791.LinkGoogle Scholar
  • Patton A, Politis DN, White H (2009) Correction to automatic block-length selection for the dependent bootstrap. Econometric Rev. 28(4):372–375.CrossrefGoogle Scholar
  • Pirrong SC (1997) Metallgesellschaft: A prudent hedger ruined, or a wildcatter on NYMEX? J. Futures Markets 17(5):543–578.CrossrefGoogle Scholar
  • Politis DN, Romano JP (1994) The stationary bootstrap. J. Amer. Statist. Assoc. 89(428):1303–1313.CrossrefGoogle Scholar
  • Rad H, Low R, Miffre J, Faff R (2023) The commodity risk premium and neural networks. J. Empirical Finance 74:101433.CrossrefGoogle Scholar
  • Rapach D, Zhou G (2022) Asset pricing: Time-series predictability. Oxford Research Encyclopaedia of Economics and Finance (Oxford University Press, Oxford, UK).CrossrefGoogle Scholar
  • Rapach D, Strauss J, Zhou G (2010) Out-of-sample equity premium prediction: Combination forecasts and links to the real economy. Rev. Financial Stud. 23(2):821–862.CrossrefGoogle Scholar
  • Rawls W, Smithson C (1990) Strategic risk management. J. Appl. Corporate Finance 2(4):6–18.CrossrefGoogle Scholar
  • Smith C, Stulz R (1985) The determinants of firms’ hedging policies. J. Financial Quant. Anal. 20(4):391–405.CrossrefGoogle Scholar
  • Stoll H, Whaley R (2010) Commodity index investing and commodity futures prices. J. Appl. Finance 20(1):7–46.Google Scholar
  • Stulz R (1984) Optimal hedging policies. J. Financial Quant. Anal. 19(2):127–140.CrossrefGoogle Scholar
  • Stulz R (1996) Rethinking risk management. J. Appl. Corporate Finance 34(1):32–46.CrossrefGoogle Scholar
  • Szymanowska M, de Roon F, Nijman T, Van Den Goorbergh R (2014) An anatomy of commodity futures risk premia. J. Finance 69(1):453–482.CrossrefGoogle Scholar
  • Wang S, Zhang T (2024) Predictability of commodity futures returns with machine learning models. J. Futures Markets 44(2):302–322.CrossrefGoogle Scholar
  • Wang Y, Wu C, Yang L (2015) Hedging with futures: Does anything beat the naïve hedging strategy? Management Sci. 61(12):2870–2889.LinkGoogle Scholar
  • Westgaard S, Fryderberg S, Mohanty SK (2022) Fourteen large commodity trading disasters: What happened and what can we learn? J. Commodity Markets 27:100221.CrossrefGoogle Scholar
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