Cliquet option pricing with Meixner processes
Markus Hess

TL;DR
This paper develops semi-analytic pricing formulas for cliquet options within a pure-jump Meixner-Lévy process model, utilizing Fourier techniques and measure changes to handle the distribution complexities.
Contribution
It introduces a novel approach to pricing cliquet options using Meixner processes, including a customized measure change that preserves the distribution.
Findings
Derived semi-analytic pricing formulas for cliquet options.
Applied Fourier transform techniques to Meixner-Lévy processes.
Proposed a measure change preserving Meixner distribution.
Abstract
We investigate the pricing of cliquet options in a geometric Meixner model. The considered option is of monthly sum cap style while the underlying stock price model is driven by a pure-jump Meixner--L\'{e}vy process yielding Meixner distributed log-returns. In this setting, we infer semi-analytic expressions for the cliquet option price by using the probability distribution function of the driving Meixner--L\'{e}vy process and by an application of Fourier transform techniques. In an introductory section, we compile various facts on the Meixner distribution and the related class of Meixner--L\'{e}vy processes. We also propose a customized measure change preserving the Meixner distribution of any Meixner process.
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Taxonomy
TopicsStochastic processes and financial applications · Complex Systems and Time Series Analysis · Financial Risk and Volatility Modeling
