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Understanding momentum in commodity markets

Author

Listed:
  • Mathieu Gatumel

    (IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc)

  • Florian Ielpo

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

This article investigates momentum strategies in commodity markets. Using a Markov-switching model and formal tests for the number of regimes in the data, we identify momentum trends for a variety of commodities, exchange rates, interest rates and equities. The data cover the period 1995-2012 at a daily frequency. The results shed light on the key differences between commodities and standard assets with regard to the presence of trends, mean-reverting behaviour and number of regimes that would need to be accurately taken into account to build profitable trend-following strategies. The results are also of economic significance for researchers interested in the modelling of commodity time series.

Suggested Citation

  • Mathieu Gatumel & Florian Ielpo, 2013. "Understanding momentum in commodity markets," Post-Print hal-00947001, HAL.
    • Handle: RePEc:hal:journl:hal-00947001
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    Cited by:

    1. Mariya Gubareva & Benjamin Keddad, 2022. "Emerging markets financial sector debt: A Markov‐switching study of interest rate sensitivity," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3851-3863, October.
    2. Baur, Dirk G. & Dichtl, Hubert & Drobetz, Wolfgang & Wendt, Viktoria-Sophie, 2020. "Investing in gold – Market timing or buy-and-hold?," International Review of Financial Analysis, Elsevier, vol. 71(C).

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