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Volterra square-root process: Stationarity and regularity of the law

Friesen, Martin and Jin, Peng (2024) Volterra square-root process: Stationarity and regularity of the law. Annals of Applied Probability, 31 (1). pp. 318-356. ISSN 2168-8737

Abstract
The Volterra square-root process on Rm+ 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 Rm+, are absolutely continuous with respect to the Lebesgue measure and their densities belong to some weighted Besov space of type Bλ1,∞
Metadata
Item Type:Article (Published)
Refereed:Yes
Subjects:Mathematics
DCU Faculties and Centres:UNSPECIFIED
Publisher:Institute of Mathematical Statistics
Official URL:https://projecteuclid.org/journals/annals-of-appli...
Copyright Information:Authors
ID Code:31165
Deposited On:01 Jul 2025 11:02 by Vidatum Academic . Last Modified 01 Jul 2025 11:02
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