Status | 已发表Published |
Title | Volterra square-root process: Stationarity and regularity of the law |
Creator | |
Date Issued | 2024-02-01 |
Source Publication | Annals of Applied Probability
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ISSN | 1050-5164 |
Volume | 34Issue:1 APages:318-356 |
Abstract | The Volterra square-root process on R is an affine Volterra process with continuous sample paths. Under a suitable integrability condition on the resolvent of the second kind associated with the Volterra convolution kernel, we establish the existence of limiting distributions. In contrast to the classical square-root diffusion process, here the limiting distributions may depend on the initial state of the process. Our result shows that the nonuniqueness of limiting distributions is closely related to the integrability of the Volterra convolution kernel. Using an extension of the exponential-affine transformation formula, we also give the construction of stationary processes associated with the limiting distributions. Finally, we prove that the time marginals as well as the limiting distributions, when restricted to the interior of the state space R, are absolutely continuous with respect to the Lebesgue measure and their densities belong to some weighted Besov space of type B |
Keyword | absolute continuity Affine Volterra processes limiting distributions mean-reversion square-root process Volterra integral equations |
DOI | 10.1214/23-AAP1965 |
URL | View source |
Indexed By | SCIE |
Language | 英语English |
WOS Research Area | Mathematics |
WOS Subject | Statistics & Probability |
WOS ID | WOS:001161702400008 |
Scopus ID | 2-s2.0-85184017780 |
Citation statistics | |
Document Type | Journal article |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/11414 |
Collection | Faculty of Science and Technology |
Affiliation | 1.School of Mathematical Sciences, Dublin City University, Ireland 2.Guangdong Provincial Key Laboratory of IRADS, BNU-HKBU United International College, China |
Recommended Citation GB/T 7714 | Friesen, Martin,Jin, Peng. Volterra square-root process: Stationarity and regularity of the law[J]. Annals of Applied Probability, 2024, 34(1 A): 318-356. |
APA | Friesen, Martin, & Jin, Peng. (2024). Volterra square-root process: Stationarity and regularity of the law. Annals of Applied Probability, 34(1 A), 318-356. |
MLA | Friesen, Martin,et al."Volterra square-root process: Stationarity and regularity of the law". Annals of Applied Probability 34.1 A(2024): 318-356. |
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