A multi-factor jump-diffusion model for commodities†

A Jump Diffusion Model for Agricultural Commodities with Bayesian Analysis by

Jump-Diffusion Risk-Sensitive Asset Management II: Jump-Diffusion Factor Model

Abstract. In this article we extend earlier work on the jump-diffusion risk-sensitive asset management problem in a factor model [SIAM J. Fin. Math. 2 (2011) 22-54] by allowing jumps in both the factor process and the asset prices, as well as stochastic volatility and investment constraints. In this case, the HJB equation is a partial integro-differential equation (PIDE). We are able to show th...

A Jump-Diffusion Model for Option Pricing

Brownian motion and normal distribution have been widely used in the Black–Scholes option-pricing framework to model the return of assets. However, two puzzles emerge from many empirical investigations: the leptokurtic feature that the return distribution of assets may have a higher peak and two (asymmetric) heavier tails than those of the normal distribution, and an empirical phenomenon called...

Multi-factor jump-diffusion models of electricity prices

The recent deregulation of electricity markets has led to the creation of energy exchanges, where the electricity is freely traded. In this paper, we study the most salient statistical features of electricity prices with a particular attention to the European energy exchanges. These features can be adequately reproduced by the sum-OU model: a model representing the price as a sum of Lévy-driven...

Closed formulas for the price and sensitivities of European options under a double exponential jump diffusion model

We derive closed formulas for the prices of European options andtheir sensitivities when the underlying asset follows a double-exponentialjump diffusion model, as considered by S. Kou in 2002. This author hasderived the option price by making use of double series where each termrequires the computation of a sequence of special functions, such thatthe implementation remains difficult for a large...