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Using Stein’s Method to Analyze Euler–Maruyama Approximations of Regime-Switching Jump Diffusion Processes

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Listed:
  • Xinghu Jin

    (Hefei University of Technology)

  • Tian Shen

    (Zhejiang University)

  • Zhonggen Su

    (Zhejiang University)

Abstract

For a kind of regime-switching jump diffusion process $$(X_t,Z_t)_{t\ge 0}$$ ( X t , Z t ) t ≥ 0 , under some conditions, it is exponentially ergodic under the weighted total variation distance with ergodic measure $$\mu $$ μ . We use the Euler–Maruyama scheme of the process $$(X_t,Z_t)_{t\ge 0}$$ ( X t , Z t ) t ≥ 0 which has an ergodic measure $$\mu _{\eta }$$ μ η ( $$\eta $$ η is the step size of the Euler–Maruyama scheme) to approximate the ergodic measure $$\mu $$ μ . Furthermore, we use Stein’s method to prove that the convergence rate of $$\mu _{\eta }$$ μ η to $$\mu $$ μ is $$\eta ^{\frac{1}{2}}$$ η 1 2 in terms of some function-class distance $$d_{{\mathcal {G}}}(\mu ,\mu _{\eta })$$ d G ( μ , μ η ) .

Suggested Citation

  • Xinghu Jin & Tian Shen & Zhonggen Su, 2023. "Using Stein’s Method to Analyze Euler–Maruyama Approximations of Regime-Switching Jump Diffusion Processes," Journal of Theoretical Probability, Springer, vol. 36(3), pages 1797-1828, September.
  • Handle: RePEc:spr:jotpro:v:36:y:2023:i:3:d:10.1007_s10959-022-01221-w
    DOI: 10.1007/s10959-022-01221-w
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    References listed on IDEAS

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    1. Yuan, Chenggui & Mao, Xuerong, 2004. "Convergence of the Euler–Maruyama method for stochastic differential equations with Markovian switching," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(2), pages 223-235.
    2. Sandrić, Nikola, 2013. "Long-time behavior of stable-like processes," Stochastic Processes and their Applications, Elsevier, vol. 123(4), pages 1276-1300.
    3. Chen, Zhen-Qing & Wang, Jian, 2014. "Ergodicity for time-changed symmetric stable processes," Stochastic Processes and their Applications, Elsevier, vol. 124(9), pages 2799-2823.
    4. Shao, Jinghai, 2015. "Ergodicity of regime-switching diffusions in Wasserstein distances," Stochastic Processes and their Applications, Elsevier, vol. 125(2), pages 739-758.
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