On the Generalized Inverse Gaussian Volatility in the Continuous Ho–Lee Model

This paper presents a new model of the term structure of interest rates that is based on the continuous Ho–Lee one. In this model, we suggest that the drift and volatility coefficients depend additionally on a generalized inverse Gaussian (GIG) distribution. Analytical expressions for the bond price and its moments are found in the new GIG continuous Ho–Lee model. Also, we compute in this model the prices of European call and put options written on bond. The obtained formulas are determined by the values of the Humbert confluent hypergeometric function of two variables. A numerical experiment shows that the third and fourth moments of the bond prices differentiate substantially in the continuous Ho–Lee and GIG continuous Ho–Lee models.

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Publication Details

Journal
Computation
Published
2025-04-19
DOI
https://doi.org/10.3390/computation13040100
Primary Topic
Stochastic processes and financial applications
Type
article
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0.00
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article

On the Generalized Inverse Gaussian Volatility in the Continuous Ho–Lee Model

Roman V. Ivanov
Computation
Stochastic processes and financial applications
article

On the Generalized Inverse Gaussian Volatility in the Continuous Ho–Lee Model

Roman V. Ivanov
article en

Abstract

This paper presents a new model of the term structure of interest rates that is based on the continuous Ho–Lee one. In this model, we suggest that the drift and volatility coefficients depend additionally on a generalized inverse Gaussian (GIG) distribution. Analytical expressions for the bond price and its moments are found in the new GIG continuous Ho–Lee model. Also, we compute in this model the prices of European call and put options written on bond. The obtained formulas are determined by the values of the Humbert confluent hypergeometric function of two variables. A numerical experiment shows that the third and fourth moments of the bond prices differentiate substantially in the continuous Ho–Lee and GIG continuous Ho–Lee models.

ComputationVol. 13(4)
V. A. Trapeznikov Institute of Control Sciences (RU)
Openalex Percentile: Top 89%
Stochastic processes and financial applications
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