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Modeling Stochastic Crop Yield Expectations with a Limiting Beta Distribution

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  • Hennessy, David A.

Abstract

The use of plausible stochastic price processes in price risk analysis has allowed advances not seen in crop yield risk analysis. This study develops a stochastic process for yield modeling and risk management. The Pólya urn process is an internally consistent dynamic representation of yield expectations over a growing season that accommodates agronomic events such as growing degree days. The limiting distribution is the commonly used beta distribution. Binomial tree analysis of the process allows us to explore hedging decisions and crop valuation. The method is empirically flexible to accommodate alternative assumptions on the growing environment, such as intra-season input decisions.

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  • Hennessy, David A., 2012. "Modeling Stochastic Crop Yield Expectations with a Limiting Beta Distribution," Staff General Research Papers Archive 35020, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:35020
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    3. Lee, Sangjun & Zhao, Jinhua & Thornsbury, Suzanne, 2013. "Extreme Events and Land Use Decisions under Climate Change in Tart Cherry Industry in Michigan," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150568, Agricultural and Applied Economics Association.
    4. Watten, Asa & Hennessy, David A. & Zhao, Jinhua, 2018. "Insurance and American Options in Intra-season Cropping Choices with Applications," 2018 Annual Meeting, August 5-7, Washington, D.C. 274480, Agricultural and Applied Economics Association.

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    More about this item

    Keywords

    crop insurance; crop abandonment; stochastic process; derivative analsysis; growing degree days;
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