Paper Title: Pricing of Weather Insurance and Temperature Options and Risk Management Based on Multivariate Temperature Probability Model
Author(s) - Na Niu, Yingzhen Lang , Zhezhi Jin *
DOI: - 10.23958/isroj/vol03-i01/02
Compared to the Cao-Wei model which only uses the average temperature to express the temperature characteristics, the unit temperature probability model can only be analyzed in the single region. The multivariate temperature probability model can better reflect the climate warming trend and the correlation between different regions. On the basis of the previous research, this paper adds regional data, optimizes the multivariate model, pricing the weather insurance, and pricing the CDD/HDD index option with the model Carol simulation method. Based on the multi model, the Beijing CDD put option is used to optimize the risk hedging of the weather insurance on the basis of the agreement price, and the change of the loss distribution before and after the risk hedging is studied. The results show that weather derivatives can provide reasonable risk hedging for weather insurance and play a good risk management effect.
Keywords: - Multivariate temperature probability model, Weather insurance, Option pricing, Risk management.