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Commodity Markets, Long-Run Predictability, and Intertemporal Pricing

Author

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  • Adrian Fernandez-Perez
  • Ana-Maria Fuertes
  • Joelle Miffre

Abstract

This article shows that commodity portfolios that capture the backwardation and contango phases exhibit in-sample and out-of-sample predictive power for the first two moments of the distribution of long-horizon aggregate equity market returns, and for the business cycle. It also demonstrates that a pricing model based on the corresponding backwardation and contango risk factors explains relatively well a wide cross-section of equity portfolios. The cross-sectional “hedging” risk prices are economically consistent with the direction of long-horizon predictability. Backwardation and contango thus act as plausible investment opportunity state variables in the context of Merton’s (1973) intertemporal capital asset pricing model.

Suggested Citation

  • 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.
  • Handle: RePEc:oup:revfin:v:21:y:2017:i:3:p:1159-1188.
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    File URL: http://hdl.handle.net/10.1093/rof/rfw034
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    References listed on IDEAS

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    1. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
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    3. Celso Brunetti, Bahattin Buyuksahin, and Jeffrey H. Harris, 2013. "Herding and Speculation in the Crude Oil Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    4. Rajnish Mehra, 2003. "The Equity Premium: Why is it a Puzzle?," NBER Working Papers 9512, National Bureau of Economic Research, Inc.
    5. Campbell, John Y, 1993. "Intertemporal Asset Pricing without Consumption Data," American Economic Review, American Economic Association, vol. 83(3), pages 487-512, June.
    6. Rapach, David & Zhou, Guofu, 2013. "Forecasting Stock Returns," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 328-383, Elsevier.
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    Citations

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    Cited by:

    1. Baur, Dirk G. & Smales, Lee A., 2020. "Hedging geopolitical risk with precious metals," Journal of Banking & Finance, Elsevier, vol. 117(C).
    2. Zaremba, Adam & Bianchi, Robert J. & Mikutowski, Mateusz, 2021. "Long-run reversal in commodity returns: Insights from seven centuries of evidence," Journal of Banking & Finance, Elsevier, vol. 133(C).
    3. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2021. "Commodity futures returns and policy uncertainty," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 364-383.
    4. Cotter, John & Eyiah-Donkor, Emmanuel & Potì, Valerio, 2023. "Commodity futures return predictability and intertemporal asset pricing," Journal of Commodity Markets, Elsevier, vol. 31(C).
    5. Bianchi, Robert J. & Fan, John Hua & Zhang, Tingxi, 2021. "Investable commodity premia in China," Journal of Banking & Finance, Elsevier, vol. 127(C).
    6. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Miffre, Joelle, 2021. "The risk premia of energy futures," Energy Economics, Elsevier, vol. 102(C).
    7. Nakagawa, Kei & Sakemoto, Ryuta, 2024. "Commodity sectors and factor investment strategies," International Review of Financial Analysis, Elsevier, vol. 95(PC).
    8. Nguyen, Duc Khuong & Sensoy, Ahmet & Sousa, Ricardo M. & Salah Uddin, Gazi, 2020. "U.S. equity and commodity futures markets: Hedging or financialization?," Energy Economics, Elsevier, vol. 86(C).
    9. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2022. "Economic importance of correlations for energy and other commodities," Energy Economics, Elsevier, vol. 107(C).
    10. Umar, Zaghum & Gubareva, Mariya & Teplova, Tamara, 2021. "The impact of Covid-19 on commodity markets volatility: Analyzing time-frequency relations between commodity prices and coronavirus panic levels," Resources Policy, Elsevier, vol. 73(C).

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    More about this item

    Keywords

    Commodities; Backwardation; Contango; Long-Run Predictability; Intertemporal Pricing;
    All these keywords.

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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