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...

Based on a non-Gaussian Ornstein–Uhlenbeck model for energy spot, we derive prices for Asian and spread options using Fourier techniques. The option prices are expressed in terms of the Fourier transform of the payoff function and the characteristic functions of the driving noises, being...

Due to the non-storability of electricity and the resulting lack of arbitrage-based arguments to price electricity forward contracts, these exhibit a significant time-varying risk premium. Using EEX data during the introduction of Emission certificates and the German "Atom Moratorium" we show...

We consider the problem of utility indifference pricing of a put option written on a non-tradeable asset, where we can hedge in a correlated asset. The dynamics are assumed to be a two-dimensional geometric Brownian motion, and we suppose that the issuer of the option have exponential risk...

We consider portfolio optimization in futures markets. We model the entire futures price curve at once as a solution of a stochastic partial differential equation. The agents objective is to maximize her utility from the final wealth when investing in futures contracts. We study a class of...

We conduct an empirical analysis of three recently proposed and widely used models for electricity spot price process. The first model, called the jump-diffusion model, was proposed by Cartea and Figueroa (2005), and is a one-factor mean-reversion jump-diffusion model, adjusted to incorporate...

We propose an extension of the model proposed by Barndorff-Nielsen and Shephard, based on stochastic processes of Ornstein-Uhlenbeck taking values in Hilbert spaces, including the leverage effect. We compute explicitly the characteristic function of the logreturn and the volatility processes. By...

We propose a novel stochastic time series model able to explain the stylized features of daily irradation level data in 5 cities in Germany. The model is suitable for applications to risk management of photovoltaic power production in renewable energy markets. The suggested dynamics is a low...

With the introduction of the exchange-traded German wind power futures, opportunities for German wind power producers to hedge their volumetric risk are present. We propose two continuous-time multivariate models for the wind power utilization at different wind sites, and discuss the properties...

In this paper we provide a framework that explains how the market risk premium, defined as the difference between forward prices and spot forecasts, depends on the risk preferences of market players and the interaction between buyers and sellers. In commodities markets this remium is an...