Indifference Pricing of Weather Derivatives
AbstractWeather derivatives are difficult to price due to the nontradability of weather and the absence of liquid secondary markets for these contracts. We use the concept of indifference pricing to develop a model for calculating the willingness to pay for weather insurance. Compared with other approaches, indifference pricing is less ambitious since it does not attempt to predict a transacted market price. The application of indifference pricing in the case of German crop producers shows that their willingness to pay for weather insurance depends on the production program and varies regionally. This suggests the development of tailored insurance products. Copyright 2008, Oxford University Press.
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Bibliographic InfoArticle provided by Agricultural and Applied Economics Association in its journal American Journal of Agricultural Economics.
Volume (Year): 90 (2008)
Issue (Month): 4 ()
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- Raushan Bokusheva, 2011. "Measuring dependence in joint distributions of yield and weather variables," Agricultural Finance Review, Emerald Group Publishing, vol. 71(1), pages 120-141, May.
- Markus Stowasser, 2011. "Modelling rain risk: a multi-order Markov chain model approach," Journal of Risk Finance, Emerald Group Publishing, vol. 13(1), pages 45-60, January.
- Hennessy, David A., 2012.
"Modeling Stochastic Crop Yield Expectations with a Limiting Beta Distribution,"
Staff General Research Papers
35020, Iowa State University, Department of Economics.
- Hennessy, David A., 2011. "Modeling Stochastic Crop Yield Expectations with a Limiting Beta Distribution," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(1), April.
- Zhiwei Shen & Martin Odening, 2013.
"Coping with systemic risk in index-based crop insurance,"
International Association of Agricultural Economists, vol. 44(1), pages 1-13, 01.
- Shen, Zhiwei & Odening, Martin, 2012. "Coping with Systemic Risk in Index-based Crop Insurance," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122555, European Association of Agricultural Economists.
- Bokusheva, Raushan, 2010. "Measuring the dependence structure between yield and weather variables," MPRA Paper 22786, University Library of Munich, Germany.
- A. Alexandridis & A. Zapranis, 2013. "Wind Derivatives: Modeling and Pricing," Computational Economics, Society for Computational Economics, vol. 41(3), pages 299-326, March.
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