2019
DOI: 10.1090/tpms/1055
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Stochastic representation and path properties of a fractional Cox–Ingersoll–Ross process

Abstract: We consider the fractional Cox-Ingersoll-Ross process satisfying the stochastic differential equation (SDE) dXt = aXt dt + σ √ Xt dB H t driven by a fractional Brownian motion (fBm) with Hurst parameter exceeding 2 3 . The integral t 0 √ XsdB H s is considered as a pathwise integral and is equal to the limit of Riemann-Stieltjes integral sums. It is shown that the fractional Cox-Ingersoll-Ross process is a square of the fractional Ornstein-Uhlenbeck process until the first zero hitting. Based on that, we consi… Show more

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Cited by 17 publications
(17 citation statements)
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“…Remark 1. In the case of k = 0, the process (5) is the fractional Ornstein-Uhlenbeck process and the definition coincides with the one given in [16].…”
Section: Definitionmentioning
confidence: 96%
“…Remark 1. In the case of k = 0, the process (5) is the fractional Ornstein-Uhlenbeck process and the definition coincides with the one given in [16].…”
Section: Definitionmentioning
confidence: 96%
“…With the help of these facts, and applying the representation of covariance function from [25], we can write it for any H ∈ (0, 1) and t ≥ s ≥ 0 in the following nonsymmetric w.r.t. s and t form that permits to avoid the absolute values of the time differences:…”
Section: πmentioning
confidence: 99%
“…A simpler pathwise approach is presented in [17] and [18]. There, the fractional Cox-Ingersoll-Ross process was defined as the square of the solution of the SDE…”
Section: Introductionmentioning
confidence: 99%
“…However, such a definition has a significant disadvantage: according to it, the process remains on the zero level after reaching the latter, and if H < 1/2, such case cannot be excluded. In this paper we generalize the approach presented in [18] and [17] in order to solve this issue.…”
Section: Introductionmentioning
confidence: 99%
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