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Weather Derivatives: Managing Risk With Market-Based Instruments Author info | Abstract | Publisher info | Download info | Related research | Statistics Richards, Timothy J.
Manfredo, Mark R.
Sanders, Dwight R.
Accurate pricing of weather derivatives is critically dependent upon correct specification of the underlying weather process. We test among six likely alternative processes using maximum likelihood methods and data from the Fresno, CA weather station. Using these data, we find that the best process is a mean-reverting geometric Brownian process with discrete jumps and ARCH errors. We describe a pricing model for weather derivatives based on such a process.
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Paper provided by NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management in its series 2002 Conference, April 22-23, 2002, St. Louis, Missouri with number
19074.
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Date of creation: 2002Date of revision:
Handle: RePEc:ags:ncrtwo:19074Contact details of provider: Web page: http://www.agebb.missouri.edu/ncrext/ncr134/
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Keywords: Risk and Uncertainty ; Other versions of this item:
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"Optimal Inter-Period Weighting of Cumulative Indices for Weather-Based Contingent Claims ,"
2004 Annual meeting, August 1-4, Denver, CO
19926, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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