Key Features:A rigorous stochastic modeling of weather factors like temperature, wind and rain based on continuous-time autoregressive processes and Lévy processesPricing of weather derivatives like futures and options based on modern mathematical finance theoryThis book is unique in combining...

Weather derivatives (WD) are different from most financial derivatives because the underlying weather cannot be traded and therefore cannot be replicated by other financial instruments. The market price of risk (MPR) is an important parameter of the associated equivalent martingale measures used...

In this work we conduct a study on the calibration of futures contracts on temperature indices. We consider a continuous-time autoregressive dynamics for the deseasonalized temperatures and a pricing measure allowing for a simultaneous change of the level and speed of mean reversion in the risk...

Functional data analysis (FDA) has emerged as a new area of statistical research with a wide range of applications. In this paper, we propose some functional linear models in which both the response and the covariate variables are functions. These models enable to regularize curves observed over...

Weather derivatives (WD) are different from most financial derivatives because the underlying weather cannot be traded and therefore cannot be replicated by other financial instruments. The market price of risk (MPR) is an important parameter of the associated equivalent martingale measures used...

This paper is concerned with managing risk exposure to temperature using weather derivatives. We consider hedging temperature risk using so-called HDD- and CDD-index futures, which are instruments written on temperatures in specific locations over specific time periods. The temperatures are...