Large deviations for Cox–ingersoll–ross processes with state-dependent fast switching

Abstract We study large deviations for Cox–Ingersoll–Ross processes with small noise and state-dependent fast switching via associated Hamilton–Jacobi–Bellman equations. As time scales separate, when the noise goes to 0 and the rate of switching goes to $\infty$ , we get a limit equation characterized by the averaging principle. Moreover, we prove the large deviation principle with an action-integral form rate function to describe the asymptotic behavior of such systems. The new ingredient is establishing the comparison principle in the singular context. The proof is carried out using the nonlinear semigroup method from Feng and Kurtz’s book [14].

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Publication Details

Journal
Journal of Applied Probability
Published
2026-03-26
DOI
https://doi.org/10.1017/jpr.2026.10081
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
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article

Large deviations for Cox–ingersoll–ross processes with state-dependent fast switching

Richard C. Kraaij, Fubao Xi, Yanyan Hu
Journal of Applied Probability
Stochastic processes and financial applications
article

Large deviations for Cox–ingersoll–ross processes with state-dependent fast switching

Richard C. Kraaij, Fubao Xi, Yanyan Hu
article en

Abstract

Abstract We study large deviations for Cox–Ingersoll–Ross processes with small noise and state-dependent fast switching via associated Hamilton–Jacobi–Bellman equations. As time scales separate, when the noise goes to 0 and the rate of switching goes to $\infty$ , we get a limit equation characterized by the averaging principle. Moreover, we prove the large deviation principle with an action-integral form rate function to describe the asymptotic behavior of such systems. The new ingredient is establishing the comparison principle in the singular context. The proof is carried out using the nonlinear semigroup method from Feng and Kurtz’s book [14].

Journal of Applied Probability
Beijing Institute of Technology (CN), University of Science and Technology Beijing (CN), Delft University of Technology (NL)
Openalex Percentile: Top 9%
Stochastic processes and financial applications
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Large deviations for Cox–ingersoll–ross processes with state-dependent fast switching — Richard C. Kraaij, Fubao Xi, et al. · Journal of Applied Probability (2026) | TGRS Research Map | TGRS