On Properties of the Hyperbolic Distribution

This paper is set to analytically describe properties of the hyperbolic distribution. This law, along with the variance-gamma distribution, is one of the most popular normal mean–variance mixtures from the point of view of various applications. We have found closed form expressions for the cumulative distribution and partial-moment-generating functions of the hyperbolic distribution. The obtained formulas use the values of the Humbert confluent hypergeometric and Whittaker special functions. The results are applied to the problem of European option pricing in the related Lévy model of financial market. The research demonstrates that the discussed normal mean–variance mixture is analytically tractable.

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Publication Details

Journal
Mathematics
Published
2024-09-16
DOI
https://doi.org/10.3390/math12182888
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.54
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article

On Properties of the Hyperbolic Distribution

Roman V. Ivanov
1 citations
Mathematics
Stochastic processes and financial applications
0.54
article

On Properties of the Hyperbolic Distribution

Roman V. Ivanov
article en
1 citations

Abstract

This paper is set to analytically describe properties of the hyperbolic distribution. This law, along with the variance-gamma distribution, is one of the most popular normal mean–variance mixtures from the point of view of various applications. We have found closed form expressions for the cumulative distribution and partial-moment-generating functions of the hyperbolic distribution. The obtained formulas use the values of the Humbert confluent hypergeometric and Whittaker special functions. The results are applied to the problem of European option pricing in the related Lévy model of financial market. The research demonstrates that the discussed normal mean–variance mixture is analytically tractable.

MathematicsVol. 12(18)
V. A. Trapeznikov Institute of Control Sciences (RU)
Openalex Percentile: Top 31%
Stochastic processes and financial applications
0.54
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