Exponential ergodicity of the jump-diffusion CIR process
Peng Jin, Barbara R\"udiger, Chiraz Trabelsi

TL;DR
This paper investigates the exponential ergodicity of the jump-diffusion CIR process, extending the classical model with jumps driven by a Lévy process, and establishes conditions for its ergodic behavior.
Contribution
It provides new conditions under which the jump-diffusion CIR process exhibits exponential ergodicity, including bounds on transition densities and Lyapunov functions.
Findings
Derived lower bounds for transition densities.
Established sufficient conditions for exponential ergodicity.
Proved existence of a Foster-Lyapunov function for JCIR.
Abstract
In this paper we study the jump-diffusion CIR process (shorted as JCIR), which is an extension of the classical CIR model. The jumps of the JCIR are introduced with the help of a pure-jump L\'evy process . Under some suitable conditions on the L\'evy measure of , we derive a lower bound for the transition densities of the JCIR process. We also find some sufficient condition guaranteeing the existence of a Forster-Lyapunov function for the JCIR process, which allows us to prove its exponential ergodicity.
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Taxonomy
TopicsStochastic processes and financial applications · Stability and Controllability of Differential Equations
