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Orthogonal gamma-based expansion for the CIR's first passage time distribution

Author

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  • Di Nardo, Elvira
  • D'Onofrio, Giuseppe
  • Martini, Tommaso

Abstract

In this paper we analyze a method for approximating the first-passage time density and the corresponding distribution function for a CIR process. This approximation is obtained by truncating a series expansion involving the generalized Laguerre polynomials and the gamma probability density. The suggested approach involves a number of numerical issues which depend strongly on the coefficient of variation of the first passage time random variable. These issues are examined and solutions are proposed also involving the first passage time distribution function. Numerical results and comparisons with alternative approximation methods show the strengths and weaknesses of the proposed method. A general acceptance-rejection-like procedure, that makes use of the approximation, is presented. It allows the generation of first passage time data, even if its distribution is unknown.

Suggested Citation

  • Di Nardo, Elvira & D'Onofrio, Giuseppe & Martini, Tommaso, 2024. "Orthogonal gamma-based expansion for the CIR's first passage time distribution," Applied Mathematics and Computation, Elsevier, vol. 480(C).
    • Handle: RePEc:eee:apmaco:v:480:y:2024:i:c:s0096300324003722
    DOI: 10.1016/j.amc.2024.128911
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    References listed on IDEAS

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    1. Shiyu Song & Guangli Xu & Yongjin Wang, 2016. "On First Hitting Times for Skew CIR Processes," Methodology and Computing in Applied Probability, Springer, vol. 18(1), pages 169-180, March.
    2. Julie Lyng Forman & Michael Sørensen, 2008. "The Pearson Diffusions: A Class of Statistically Tractable Diffusion Processes," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 35(3), pages 438-465, September.
    3. John C. Cox & Jonathan E. Ingersoll Jr. & Stephen A. Ross, 2005. "A Theory Of The Term Structure Of Interest Rates," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 5, pages 129-164, World Scientific Publishing Co. Pte. Ltd..
    4. Di Nardo, Elvira & D’Onofrio, Giuseppe, 2021. "A cumulant approach for the first-passage-time problem of the Feller square-root process," Applied Mathematics and Computation, Elsevier, vol. 391(C).
    5. Virginia Giorno & Amelia G. Nobile, 2021. "On the First-Passage Time Problem for a Feller-Type Diffusion Process," Mathematics, MDPI, vol. 9(19), pages 1-27, October.
    6. Lubomir Kostal & Petr Lansky & Ondrej Pokora, 2011. "Variability Measures of Positive Random Variables," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-11, July.
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