On general semi-closed-form solutions for VIX derivative pricing

Most pricing methods for VIX futures and European VIX options rely on the existence of the squared VIX moment generating function. Yet this function does not exist for some state-of-the-art option pricing models, which prevents their widespread use. This letter presents a semi-closed-form solution for European VIX option prices based on the squared VIX characteristic function. When coupled with a new, alternative VIX futures pricing formula, the VIX option pricing method requires only the evaluation of a single integral, making its implementation very efficient. These pricing formulas are applicable to a wide class of models—virtually all exponentially affine models in the literature, among others—as the characteristic function always exists. We also test our newly proposed pricing methodologies against usual benchmarks in the literature and report that they lead to more efficient and accurate prices.

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Publication Details

Journal
Quantitative Finance
Published
2024-12-01
DOI
https://doi.org/10.1080/14697688.2024.2429424
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

On general semi-closed-form solutions for VIX derivative pricing

Geneviève Gauthier, Jean‐François Bégin, Étienne Bacon
Quantitative Finance
Stochastic processes and financial applications
article

On general semi-closed-form solutions for VIX derivative pricing

Geneviève Gauthier, Jean‐François Bégin, Étienne Bacon
article en

Abstract

Most pricing methods for VIX futures and European VIX options rely on the existence of the squared VIX moment generating function. Yet this function does not exist for some state-of-the-art option pricing models, which prevents their widespread use. This letter presents a semi-closed-form solution for European VIX option prices based on the squared VIX characteristic function. When coupled with a new, alternative VIX futures pricing formula, the VIX option pricing method requires only the evaluation of a single integral, making its implementation very efficient. These pricing formulas are applicable to a wide class of models—virtually all exponentially affine models in the literature, among others—as the characteristic function always exists. We also test our newly proposed pricing methodologies against usual benchmarks in the literature and report that they lead to more efficient and accurate prices.

Quantitative FinanceVol. 24(12)
HEC Montréal (CA), Simon Fraser University (CA)
Simon Fraser University, HEC Montréal, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 70%
Stochastic processes and financial applications
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