Exponential ergodicity of the jump-diffusion CIR process

Springer Proceedings in Mathematics & Statistics(2016)

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摘要
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 Levy process (J(t), t >= 0). Under some suitable conditions on the Levy measure of (J(t), t >= 0), we derive a lower bound for the transition densities of the JCIR process. We also find some sufficient conditions under which the function V(x) = x, x >= 0, is a Forster-Lyapunov function for the JCIR process. This allows us to prove that the JCIR process is exponentially ergodic.
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关键词
CIR model with jumps,Exponential ergodicity,Forster-Lyapunov functions,Stochastic differential equations
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