Existence results for the Cox–Ingersoll–Ross model with variable exponent diffusion

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Abstract

This study proposes a new stochastic model where the diffusion coefficient involves a state-dependent variable exponent function p(·). This new theoretically flexible framework generalizes the classical Cox–Ingersoll–Ross model. The existence, uniqueness, and higher moment properties of solutions are analyzed. The validity and efficiency of the model is illustrated with numerical experiments. Finally, a detailed analysis for Itô vs. Stratonovich interpretations of the proposed model is provided.

Original languageEnglish
Pages (from-to)22106-22126
Number of pages21
JournalAIMS Mathematics
Volume10
Issue number9
DOIs
Publication statusPublished - 2025

Keywords

  • Cox-Ingersoll-Ross (CIR) model
  • Picard iterations
  • moment estimates
  • non-Lipschitz diffusion coefficient
  • state-dependent variable exponent
  • stochastic process
  • truncation procedure

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