Mean Reversion Models for Weather Derivatives

Petschel, Ben (2005). Mean Reversion Models for Weather Derivatives PhD Thesis, School of Physical Sciences, The University of Queensland.

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
THE18872.pdf Full text application/pdf 4.64MB 4
Author Petschel, Ben
Thesis Title Mean Reversion Models for Weather Derivatives
School, Centre or Institute School of Physical Sciences
Institution The University of Queensland
Publication date 2005
Thesis type PhD Thesis
Supervisor A/Prof. Bevan Thompson
Elliot Tonkes
Total pages 136
Collection year 2005
Language eng
Subjects L
230101 Mathematical Logic, Set Theory, Lattices And Combinatorics
780101 Mathematical sciences
Formatted abstract

Weather derivatives are a new type of financial contract that derive their value from weather measurements over the period of the contract. In this thesis we focus on temperature-based Cooling Degree Day (CDD) and Heating Degree Day (HDD) contracts, developing continuous time stochastic mean reversion models for temperature based on the Ornstein-Uhlenbeck process. 

In the first half of the thesis, we consider models with Brownian motion as the driving noise, firstly in the scalar case, both for constant volatility and for seasonal volatility, and then generalize to the vector case in order to simultaneously model several correlated weather variables. In each case, we fit the models to temperature data from Brisbane and Melbourne. We go on to develop methods of estimating the price of some CDD and HDD contracts, comparing the estimates with historical simulations. 

In the second half of the thesis, we extend the model to include Poisson jumps. We develop several methods for approximating the Fourier transforms that give the transition probability densities, comparing the efficiency and accuracy of each, and fit the model parameters to Brisbane and Melbourne temperature data. We conclude by pricing some CDD and HDD contracts under the jump model. 

The techniques developed in this thesis are valuable in that they are applicable to a much more general range of problems, including interest rates and commodity prices. 

Keyword Weather derivatives -- Mathematical models
Stochastic models
Poisson distribution

Document type: Thesis
Collection: UQ Theses (RHD) - UQ staff and students only
Citation counts: Google Scholar Search Google Scholar
Created: Fri, 24 Aug 2007, 18:44:45 EST