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Theory of Probability and Mathematical Statistics

ISSN 1547-7363(online) ISSN 0094-9000(print)

 
 

 

Stochastic representation and path properties of a fractional Cox–Ingersoll–Ross process


Authors: Yu. S. Mishura, V. I. Piterbarg, K. V. Ralchenko and A. Yu. Yurchenko-Tytarenko
Translated by: N. N. Semenov
Journal: Theor. Probability and Math. Statist. 97 (2018), 167-182
MSC (2010): Primary 60G22; Secondary 60G15, 60H10
DOI: https://doi.org/10.1090/tpms/1055
Published electronically: February 21, 2019
MathSciNet review: 3746006
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Abstract: We consider the Cox–Ingersoll–Ross process that satisfies the stochastic differential equation $dX_t = aX_t dt+\sigma \sqrt {X_t} dB^H_t$ driven by a fractional Brownian motion $B^H_t$ with the Hurst index exceeding $\frac {2}{3}$, where $\int _0^t\sqrt {X_s} dB^H_s$ is the pathwise integral defined as the limit of the corresponding Riemann–Stieltjes sums. We show that the Cox–Ingersoll–Ross process coincides with the square of the fractional Ornstein–Uhlenbeck process up to the first return to zero. Based on this observation, we consider the square of the fractional Ornstein–Uhlenbeck process with an arbitrary Hurst index and prove that it satisfies the above stochastic differential equation up to the first return to zero if $\int _0^t\sqrt {X_s} dB^H_s$ is understood as the pathwise Stratonovich integral. Then a natural question arises about the first visit to zero of the fractional Cox–Ingersoll–Ross process which coincides with the first visit to zero of the fractional Ornstein–Uhlenbeck process. Since the latter process is Gaussian, we use the bounds for the distributions of Gaussian processes to prove that the probability of a visit to zero over a finite time equals 1 if $a<0$. Otherwise this probability is positive. We provide an upper bound for this probability.


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Additional Information

Yu. S. Mishura
Affiliation: Department of Probability Theory, Statistics, and Actuarial Mathematics, Faculty for Mechanics and Mathematics, Taras Shevchenko National University of Kyiv, Volodymyrs’ka Street, 64/13, Kyiv 01601, Ukraine
Email: myus@univ.kiev.ua

V. I. Piterbarg
Affiliation: Laboratory of Probability Theory, Faculty for Mechanics and Mathematics, Moscow State University, Leninskie gory, 1, Moscow, 119991, Russian Federation
Email: piter@mech.math.msu.su

K. V. Ralchenko
Affiliation: Department of Probability Theory, Statistics, and Actuarial Mathematics, Faculty for Mechanics and Mathematics, Taras Shevchenko National University of Kyiv, Volodymyrs’ka Street, 64/13, Kyiv 01601, Ukraine
Email: k.ralchenko@gmail.com

A. Yu. Yurchenko-Tytarenko
Affiliation: Department of Probability Theory, Statistics, and Actuarial Mathematics, Faculty for Mechanics and Mathematics, Taras Shevchenko National University of Kyiv, Volodymyrs’ka Street, 64/13, Kyiv 01601, Ukraine
Email: ayurty@gmail.com

Keywords: Fractional Cox–Ingersoll–Ross process, stochastic differential equation, fractional Ornstein–Uhlenbeck process, Stratonovich integral
Received by editor(s): April 23, 2017
Published electronically: February 21, 2019
Article copyright: © Copyright 2019 American Mathematical Society