Jump diffusion

Cutting Edge: Pure jump models for energy prices

Université de Lausanne’s Roberto Marfè investigates pure jump processes as modelling blocks for the distributions of energy returns under the pricing measure. An easy-to-implement option-implied approach is outlined, which circumvents most of the…

Parameter estimation with k-means clustering

Ever since the pioneering work of Cox, Ross & Rubinstein (1979), tree models have been popular as an asset pricing method. However, statistical estimation of the parameters of tree models has been less studied. In this article, Kiseop Lee and Mingxin Xu…

Vix option pricing in a jump-diffusion model

Artur Sepp discusses Vix futures and options and shows that their market prices exhibit positive volatility skew. To better model the market behaviour of the S&P 500 index and its associated volatility skew, he introduces the stochastic dynamics of the…

Unifying volatility models

This article introduces a method for building analytically tractable option pricing models that combine state-dependent volatility, stochastic volatility and jumps. The eigenfunction expansion method is used to add jumps and stochastic volatility to…

Why be backward?

Originally developed as a tool for calibrating smile models, so-called forward methods can also be used to price options and derive Greeks. Here, Peter Carr and Ali Hirsa apply the technique to the pricing of continuously exercisable American-style put…

Universal Barriers

As our survey in this issue shows, there is an increasing volume of barrier products traded in the forex options market. Here, Alexander Lipton and William McGhee discuss the pricing of barriers under various model frameworks, with particular focus on…

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