- Afr. Stat.
- Volume 2, Number 1 (2007), 22-43.
Temperature stochastic modeling and weather derivatives pricing: empirical study with Moroccan data
The main objective of this paper is to present a technique for pricing weather derivatives with payout depending on temperature. We start by using the Principle Component Analysis method to fill missing temperature data. Consequently, the cold and the warm periods were determined on the basis of a “clean” data by using a statistical approach. After that, we use historical data over a sufficient period to apply a stochastic process that describes the evolution of the temperature. A numerical example of a swap contract pricing is presented, using an approximation formula as well as Monte Carlo simulations.
Afr. Stat. Volume 2, Number 1 (2007), 22-43.
Received: April 2007
Accepted: 20 July 2007
First available in Project Euclid: 26 May 2017
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Mathematical Reviews number (MathSciNet)
Mraoua, Mohammed; Bari, Driss. Temperature stochastic modeling and weather derivatives pricing: empirical study with Moroccan data. Afr. Stat. 2 (2007), no. 1, 22--43. doi:10.4314/afst.v2i1.46865. https://projecteuclid.org/euclid.as/1495766685.