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arxiv: 1709.01691 · v1 · pith:TE6DYCBQnew · submitted 2017-09-06 · 🧮 math.PR

Heavy tail and light tail of Cox-Ingersoll-Ross processes with regime-switching

classification 🧮 math.PR
keywords regime-switchingdistributionstationaryexistenceheavy-tailedprocesstailwork
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This work is denoted to studying the tail behavior of Cox-Ingersoll-Ross (CIR) processes with regime-switching. One essential difference shown in this work between CIR process with regime-switching and without regime-switching is that the stationary distribution for CIR process with regime-switching could be heavy-tailed. Our results provide a theoretical evidence of the existence of regime-switching for interest rates model based on its heavy-tailed empirical evidence. In this work, we first provide sharp criteria to justify the existence of stationary distribution for the CIR process with regime-switching, which is applied to study the long term returns of interest rates. Then under the existence of the stationary distribution, we provide a criterion to justify whether its stationary distribution is heavy-tailed or not.

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  1. Long time behavior of Levy-driven Ornstein-Uhlenbeck process with regime-switchin

    math.PR 2019-06 unverdicted novelty 5.0

    Explicit criteria for transience and recurrence plus characterization of heavy-tailed stationary distributions are given for Levy-driven OU processes with regime-switching.