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Status已发表Published
TitleVolterra square-root process: Stationarity and regularity of the law
Creator
Date Issued2024-02-01
Source PublicationAnnals of Applied Probability
ISSN1050-5164
Volume34Issue: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

Keywordabsolute continuity Affine Volterra processes limiting distributions mean-reversion square-root process Volterra integral equations
DOI10.1214/23-AAP1965
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:001161702400008
Scopus ID2-s2.0-85184017780
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/11414
CollectionFaculty 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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