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Analyzing the dynamics of the refining margin: implications for valuation and hedging

Author

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  • Andr�s Garc�a Mirantes
  • Javier Población
  • Gregorio Serna

Abstract

It is well known that the prices of crude oil and its primary refined products (i.e., heating oil and gasoline) are cointegrated. In this paper, we extend this empirical evidence by showing that the refining margin is stationary and therefore exhibits different dynamics from crude oil or its primary refined products. Furthermore, we show that crude oil, heating oil and gasoline are not only cointegrated but also share common long-term dynamics. This finding has crucial implications in terms of managing and hedging the risk faced by refining companies because the common long-term trend finding implies that the refining margin risk only reflects short-term effects. Specifically, in this paper, a way to hedge the refining margin with crack-spread options is analyzed, and we find that assuming a common long-term trend for crude oil, heating oil and gasoline is the most accurate approach to hedging.

Suggested Citation

  • Andr�s Garc�a Mirantes & Javier Población & Gregorio Serna, 2012. "Analyzing the dynamics of the refining margin: implications for valuation and hedging," Quantitative Finance, Taylor & Francis Journals, vol. 12(12), pages 1839-1855, December.
  • Handle: RePEc:taf:quantf:v:12:y:2012:i:12:p:1839-1855
    DOI: 10.1080/14697688.2012.708430
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    1. Holmstrom, Bengt & Tirole, Jean, 2000. "Liquidity and Risk Management," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(3), pages 295-319, August.
    2. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 113-147.
    3. Eduardo Schwartz & James E. Smith, 2000. "Short-Term Variations and Long-Term Dynamics in Commodity Prices," Management Science, INFORMS, vol. 46(7), pages 893-911, July.
    4. Apostolos Serletis, 2007. "A Cointegration Analysis of Petroleum Futures Prices," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 5, pages 46-54, World Scientific Publishing Co. Pte. Ltd..
    5. Bally Vlad & Caramellino Lucia & Zanette Antonino, 2005. "Pricing and hedging American options by Monte Carlo methods using a Malliavin calculus approach," Monte Carlo Methods and Applications, De Gruyter, vol. 11(2), pages 97-133, June.
    6. Gonzalo Cortazar & Carlos Milla & Felipe Severino, 2008. "A multicommodity model of futures prices: Using futures prices of one commodity to estimate the stochastic process of another," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(6), pages 537-560, June.
    7. Bruno Bouchard & Ivar Ekeland & Nizar Touzi, 2004. "On the Malliavin approach to Monte Carlo approximation of conditional expectations," Finance and Stochastics, Springer, vol. 8(1), pages 45-71, January.
    8. Schwartz, Eduardo S, 1997. "The Stochastic Behavior of Commodity Prices: Implications for Valuation and Hedging," Journal of Finance, American Finance Association, vol. 52(3), pages 923-973, July.
    9. Gjolberg, Ole & Johnsen, Thore, 1999. "Risk management in the oil industry: can information on long-run equilibrium prices be utilized?," Energy Economics, Elsevier, vol. 21(6), pages 517-527, December.
    10. repec:dau:papers:123456789/1802 is not listed on IDEAS
    11. Mello, Antonio S & Parsons, John E, 2000. "Hedging and Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 127-153.
    12. Dempster, M.A.H. & Medova, Elena & Tang, Ke, 2008. "Long term spread option valuation and hedging," Journal of Banking & Finance, Elsevier, vol. 32(12), pages 2530-2540, December.
    13. Smith, Clifford W. & Stulz, René M., 1985. "The Determinants of Firms' Hedging Policies," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 20(4), pages 391-405, December.
    14. Froot, Kenneth A & Scharfstein, David S & Stein, Jeremy C, 1993. "Risk Management: Coordinating Corporate Investment and Financing Policies," Journal of Finance, American Finance Association, vol. 48(5), pages 1629-1658, December.
    15. Barraquand, Jérôme & Martineau, Didier, 1995. "Numerical Valuation of High Dimensional Multivariate American Securities," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(3), pages 383-405, September.
    16. Asche, Frank & Gjolberg, Ole & Volker, Teresa, 2003. "Price relationships in the petroleum market: an analysis of crude oil and refined product prices," Energy Economics, Elsevier, vol. 25(3), pages 289-301, May.
    17. John R. Graham & Clifford W. Smith, 1999. "Tax Incentives to Hedge," Journal of Finance, American Finance Association, vol. 54(6), pages 2241-2262, December.
    18. Jèôme Barraquand, 1995. "Numerical Valuation of High Dimensional Multivariate European Securities," Management Science, INFORMS, vol. 41(12), pages 1882-1891, December.
    19. Lanza, Alessandro & Manera, Matteo & Giovannini, Massimo, 2005. "Modeling and forecasting cointegrated relationships among heavy oil and product prices," Energy Economics, Elsevier, vol. 27(6), pages 831-848, November.
    20. Mayers, David & Smith, Clifford W, Jr, 1982. "On the Corporate Demand for Insurance," The Journal of Business, University of Chicago Press, vol. 55(2), pages 281-296, April.
    21. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," University of California at Los Angeles, Anderson Graduate School of Management qt43n1k4jb, Anderson Graduate School of Management, UCLA.
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    1. Población, Javier & Serna, Gregorio, 2016. "Is the refining margin stationary?," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 169-186.
    2. Javier Población & Gregorio Serna, 2018. "A common long-term trend for bulk shipping prices," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(3), pages 421-432, September.
    3. Polanco Martínez, Josué M. & Abadie, Luis M. & Fernández-Macho, J., 2018. "A multi-resolution and multivariate analysis of the dynamic relationships between crude oil and petroleum-product prices," Applied Energy, Elsevier, vol. 228(C), pages 1550-1560.
    4. Andrés Mirantes & Javier Población & Gregorio Serna, 2015. "Commodity derivative valuation under a factor model with time-varying market prices of risk," Review of Derivatives Research, Springer, vol. 18(1), pages 75-93, April.
    5. You-How Go & Wee-Yeap Lau, 2019. "Palm oil spot-futures relation: Evidence from unrefined and refined products," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(3), pages 133-142.
    6. Javier Población & Gregorio Serna, 2021. "Measuring bulk shipping prices risk," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(2), pages 291-309, June.

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