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Valuation of commodity derivatives with an unobservable convenience yield

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  • Anh Ngoc Lai

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Constantin Mellios

    (PRISM Sorbonne - Pôle de recherche interdisciplinaire en sciences du management - UP1 - Université Paris 1 Panthéon-Sorbonne)

Abstract

This paper extends the existing literature on commodity derivatives to account for an unobservable stochastic convenience yield. Investors operate in an economy with incomplete information. In contrast to other incomplete information models, analytical formulas for forward and futures prices, as well as for European options on forward and futures contracts are obtained. These formulas reveal the important role played by the initial values of the estimator of the convenience yield and of the estimation error respectively when valuing commodity derivatives. We estimate Schwartz׳s [11] model and the incomplete information model based on the discrete-time Kalman filtering method. For futures prices, the latter seems to perform better than the former. Moreover, Schwartz׳s model provides higher option prices than the incomplete information model. The most important differences are obtained for higher futures prices and for longer options maturities.

Suggested Citation

  • Anh Ngoc Lai & Constantin Mellios, 2016. "Valuation of commodity derivatives with an unobservable convenience yield," Post-Print halshs-01183166, HAL.
  • Handle: RePEc:hal:journl:halshs-01183166
    DOI: 10.1016/j.cor.2015.03.007
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01183166
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    Cited by:

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    2. Moreno, Manuel & Novales, Alfonso & Platania, Federico, 2019. "Long-term swings and seasonality in energy markets," European Journal of Operational Research, Elsevier, vol. 279(3), pages 1011-1023.
    3. Ma, Zonggang & Ma, Chaoqun & Wu, Zhijian, 2020. "Closed-form analytical solutions for options on agricultural futures with seasonality and stochastic convenience yield," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    4. Cagatay Basarir & Mehmet Fatih Bayramoglu, 2018. "Global Macroeconomic Determinants of the Domestic Commodity Derivatives," Contributions to Economics, in: Hasan Dincer & Ümit Hacioglu & Serhat Yüksel (ed.), Global Approaches in Financial Economics, Banking, and Finance, chapter 0, pages 331-349, Springer.
    5. Gonzato, Luca & Sgarra, Carlo, 2021. "Self-exciting jumps in the oil market: Bayesian estimation and dynamic hedging," Energy Economics, Elsevier, vol. 99(C).

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