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  1. 1. Modelling Weather Dynamics for Weather Derivatives Pricing

    Författare :Emanuel Evarest Sinkwembe; Martin Singull; Xiangfeng Yang; Fredrik Berntsson; Erik Lindström; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : This thesis focuses on developing an appropriate stochastic model for temperature dynamics as a means of pricing weather derivative contracts based on temperature. There are various methods for pricing weather derivatives ranging from simple one like historical burn analysis, which does not involve modeling the underlying weather variable to complex ones that require Monte Carlo simulations to achieve explicit weather derivatives contract prices, particularly the daily average temperature (DAT) dynamics models. LÄS MER