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Reliability Of Options Markets For Crop Revenue Insurance Rating

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  • Buschena, David E.
  • Ziegler, Lee

Abstract

Revenue insurance, only recently introduced for major crops in the U.S., has captured a considerable share of the multiple-peril insurance market. This study evaluates the predictive reliability of using price distributions inferred from options markets to rate revenue insurance products. We find for periods early in the crop growing season that price distributions inferred from options trades offer greater reliability than distributions based on historical futures trades. Options-based price distributions should receive further consideration in crop revenue insurance rating, but current administrative constraints must be considered.

Suggested Citation

  • Buschena, David E. & Ziegler, Lee, 1999. "Reliability Of Options Markets For Crop Revenue Insurance Rating," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(2), pages 1-26, December.
  • Handle: RePEc:ags:jlaare:30806
    DOI: 10.22004/ag.econ.30806
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    References listed on IDEAS

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    1. Soderlind, Paul & Svensson, Lars, 1997. "New techniques to extract market expectations from financial instruments," Journal of Monetary Economics, Elsevier, vol. 40(2), pages 383-429, October.
    2. Singh, S K & Maddala, G S, 1976. "A Function for Size Distribution of Incomes," Econometrica, Econometric Society, vol. 44(5), pages 963-970, September.
    3. Goodwin, Barry K. & Roberts, Matthew C. & Coble, Keith H., 2000. "Measurement Of Price Risk In Revenue Insurance: Implications Of Distributional Assumptions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(1), pages 1-20, July.
    4. James B. McDonald, 2008. "Some Generalized Functions for the Size Distribution of Income," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 3, pages 37-55, Springer.
    5. Barone-Adesi, Giovanni & Whaley, Robert E, 1987. "Efficient Analytic Approximation of American Option Values," Journal of Finance, American Finance Association, vol. 42(2), pages 301-320, June.
    6. Viswanath Tirupattur & Robert J. Hauser & Phelim P. Boyle, 1997. "Theory and Measurement of Exotic Options in U.S. Agricultural Support Programs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1127-1139.
    7. Black, Fischer, 1976. "The pricing of commodity contracts," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 167-179.
    8. Beckers, Stan, 1980. "The Constant Elasticity of Variance Model and Its Implications for Option Pricing," Journal of Finance, American Finance Association, vol. 35(3), pages 661-673, June.
    9. Ramaswamy, Krishna & Sundaresan, Suresh M, 1985. "The Valuation of Options on Futures Contracts," Journal of Finance, American Finance Association, vol. 40(5), pages 1319-1340, December.
    10. Canina, Linda & Figlewski, Stephen, 1993. "The Informational Content of Implied Volatility," Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 659-681.
    11. Jeffrey R. Stokes & William I. Nayda & Burton C. English, 1997. "The Pricing of Revenue Assurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 439-451.
    12. Plato, Gerald, 1985. "Valuing American Options on Commodity Futures Contracts," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 37(2), pages 1-14.
    13. Paul L. Fackler & Robert P. King, 1990. "Calibration of Option-Based Probability Assessments in Agricultural Commodity Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(1), pages 73-83.
    14. Chiras, Donald P. & Manaster, Steven, 1978. "The information content of option prices and a test of market efficiency," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 213-234.
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    Cited by:

    1. Paulson, Nicholas David, 2004. "Insuring uncertainty in value-added agriculture: ethanol," ISU General Staff Papers 2004010108000018198, Iowa State University, Department of Economics.

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