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Error bounds for the perturbation solution of the transition density under a multi-factor CIR term structure model with weak mean-reversion effect

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  • Cheng-Hsun Wu
  • Kai-Jiun Chang

Abstract

We consider a multi-factor Cox-Ingersoll-Ross (CIR) model of the term structure of interest rates with weak mean-reversion effect. We use perturbation theory to analyze its conditional characteristic function illustrated by a system of Riccati equations and derive the error bounds for the perturbation approximations. Using the Fourier inversion theorem, we clarify that the perturbation approximation of the conditional characteristic function can be applied to estimate the transition density and likelihood function. We provide their error bounds and accuracy orders. Finally, we discuss the performance of the perturbation approximation in estimating the transition density via simulation.

Suggested Citation

  • Cheng-Hsun Wu & Kai-Jiun Chang, 2020. "Error bounds for the perturbation solution of the transition density under a multi-factor CIR term structure model with weak mean-reversion effect," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 49(21), pages 5294-5311, November.
  • Handle: RePEc:taf:lstaxx:v:49:y:2020:i:21:p:5294-5311
    DOI: 10.1080/03610926.2019.1617879
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