Pricing Temperature Derivatives under Weather Forecasts

29 Pages Posted: 20 Mar 2018 Last revised: 14 Apr 2020

See all articles by Markus Hess

Markus Hess

RPTU University Kaiserslautern-Landau

Date Written: July 17, 2018

Abstract

We investigate the pricing of temperature derivatives under weather forecasts modeled by enlarged filtrations. We also treat option pricing and optimal portfolio selection in temperature markets with future information. We finally prove an anticipative sufficient stochastic minimum principle and apply the result to minimal variance hedging of temperature derivatives under weather forecasts.

Keywords: Temperature Derivative, CAT Futures, Weather Forecast, Option Pricing, Optimal Portfolio Selection, Information Premium, Minimal Variance Hedging, Enlarged Filtration, Ornstein-Uhlenbeck Process, Stochastic Differential Equation, Stochastic Minimum Principle, Stochastic Control

JEL Classification: C00, C53, D52, D80, G13

Suggested Citation

Hess, Markus, Pricing Temperature Derivatives under Weather Forecasts (July 17, 2018). International Journal of Theoretical and Applied Finance (IJTAF), Vol. 21, No. 5, 1850031, August 2018, Available at SSRN: https://ssrn.com/abstract=3144248 or http://dx.doi.org/10.2139/ssrn.3144248

Markus Hess (Contact Author)

RPTU University Kaiserslautern-Landau ( email )

Kaiserslautern, 67663
Germany

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