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Corporate Hedging In Incomplete Markets: A Solution Under Price Transmission

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  • Luo, Rui
  • Fortenbery, T. Randall

Abstract

This paper provides dynamic minimum-variance hedges for firms in incomplete markets. Our hedges accounts for price transmission between the input and output prices, and thereby enable firms to minimize both input and output price fluctuations through tradable securities. Specifically, the model conditions on the direction and magnitude of price transaction between raw materials and products, as well as on the availability of futures contracts. A two-factor diffusion model is assumed for the underlying asset. The optimal hedges are the weighted average of the classic direct hedging and cross hedging ratios. We apply our results to the problem of a hypothetical jet fuel producer. Empirical results demonstrate the hedging effectiveness of this model.

Suggested Citation

  • Luo, Rui & Fortenbery, T. Randall, 2017. "Corporate Hedging In Incomplete Markets: A Solution Under Price Transmission," 2017 Conference, April 24-25, 2017, St. Louis, Missouri 285879, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  • Handle: RePEc:ags:n13417:285879
    DOI: 10.22004/ag.econ.285879
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    References listed on IDEAS

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    1. Fok, Robert C. W. & Carroll, Carolyn & Chiou, Ming C., 1997. "Determinants of corporate hedging and derivatives: A revisit," Journal of Economics and Business, Elsevier, vol. 49(6), pages 569-585.
    2. Barry K. Goodwin & Matthew T. Holt, 1999. "Price Transmission and Asymmetric Adjustment in the U.S. Beef Sector," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 630-637.
    3. C. He & J. Kennedy & T. Coleman & P. Forsyth & Y. Li & K. Vetzal, 2006. "Calibration and hedging under jump diffusion," Review of Derivatives Research, Springer, vol. 9(1), pages 1-35, January.
    4. Gibson, Rajna & Schwartz, Eduardo S, 1990. "Stochastic Convenience Yield and the Pricing of Oil Contingent Claims," Journal of Finance, American Finance Association, vol. 45(3), pages 959-976, July.
    5. Goodwin, Barry K & Holt, Mathew T., 1999. "Price Transmission and Asymmetric Adjustment in the U.S. Beef Sector," Consolidation in the meat sector, February 25-26, 1999, Washington, D.C. 303400, Regional Research Project NE-165 Private Strategies, Public Policies, and Food System Performance.
    6. Choudhry, Taufiq, 2003. "Short-run deviations and optimal hedge ratio: evidence from stock futures," Journal of Multinational Financial Management, Elsevier, vol. 13(2), pages 171-192, April.
    7. Suleyman Basak & Georgy Chabakauri, 2012. "Dynamic Hedging in Incomplete Markets: A Simple Solution," The Review of Financial Studies, Society for Financial Studies, vol. 25(6), pages 1845-1896.
    8. Ederington, Louis H, 1979. "The Hedging Performance of the New Futures Markets," Journal of Finance, American Finance Association, vol. 34(1), pages 157-170, March.
    9. Michael W. Brandt, 2003. "Hedging Demands in Hedging Contingent Claims," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 119-140, February.
    10. Jaksa Cvitanic & Fernando Zapatero, 2004. "Introduction to the Economics and Mathematics of Financial Markets," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262532654, December.
    11. Jonathan M. Godbey & Jimmy E. Hilliard, 2007. "Adjusting stacked-hedge ratios for stochastic convenience yield: a minimum variance approach," Quantitative Finance, Taylor & Francis Journals, vol. 7(3), pages 289-300.
    12. 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.
    13. 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.
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