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Portfolio effects and the willingness to pay for weather insurances

Author

Listed:
  • Oliver Musshoff
  • Norbert Hirschauer
  • Martin Odening

Abstract

Since the mid-1990s, agricultural economists have discussed the relevance of index-based insurances, also called “weather derivatives”, as hedging instruments for volumetric risks in agriculture. Motivated by the question of how weather derivatives should be priced for agricultural firms, this paper describes an extended risk-programming model which can be used to determine farmers’ willingness to pay (demand function) for weather derivative’s farm-specific risk reduction capacity and the individual farmer’s risk acceptance. Applying it to the exemplary case of a Brandenburg farm reveals that even a highly standardized contract which is based on the accumulated rainfall at the capital’s meteorological station in Berlin-Tempelhof generates a relevant willingness to pay. Our findings suggest that a potential underwriter could even add a loading on the actuarially fair price which exceeds the level of traditional insurances. Since translation costs are low compared to insurance contracts, this finding indicates there may be a relevant trading potential.

Suggested Citation

  • Oliver Musshoff & Norbert Hirschauer & Martin Odening, 2008. "Portfolio effects and the willingness to pay for weather insurances," Agricultural Finance Review, Emerald Group Publishing, vol. 68(1), pages 83-97, May.
  • Handle: RePEc:eme:afrpps:v:68:y:2008:i:1:p:83-97
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    Citations

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    Cited by:

    1. Buchholz, Matthias & Musshoff, Oliver, 2014. "The role of weather derivatives and portfolio effects in agricultural water management," Agricultural Water Management, Elsevier, vol. 146(C), pages 34-44.
    2. Braun, Alexander & Schmeiser, Hato & Schreiber, Florian, 2016. "On consumer preferences and the willingness to pay for term life insurance," European Journal of Operational Research, Elsevier, vol. 253(3), pages 761-776.
    3. Gülpınar, Nalân & Çanakoḡlu, Ethem, 2017. "Robust portfolio selection problem under temperature uncertainty," European Journal of Operational Research, Elsevier, vol. 256(2), pages 500-523.
    4. Rong Kong & Calum G. Turvey & Guangwen He & Jiujie Ma & Patrick Meagher, 2011. "Factors influencing Shaanxi and Gansu farmers' willingness to purchase weather insurance," China Agricultural Economic Review, Emerald Group Publishing, vol. 3(4), pages 423-440, November.
    5. Liu, Xianglin & Tang, Yingmei & Miranda, Mario J., 2015. "Does Past Experience in Natural Disasters Affect Willingness-to-Pay for Weather Index Insurance? Evidence from China," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205374, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    6. Turvey, Calum G. & Kong, Rong & Belltawn, Burgen, 2009. "Weather Risk and the Viability of Weather Insurance In Western China," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49362, Agricultural and Applied Economics Association.

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