转移矩阵的风险中和问题

Richard Zhou
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引用次数: 2

摘要

风险中性过渡矩阵期限结构是基于评级的信用衍生品定价模型的重要组成部分。然而,合适的风险中性过渡矩阵期限结构的生成仍然是一个具有挑战性的问题。文献中的许多校准模型要么不稳定,要么与市场隐含违约概率期限结构拟合较差。本文提出了一种新的风险中性过渡矩阵期限结构标定方法,其中条件评级过渡矩阵是马尔可夫链的混合。数值结果表明,局部马尔可夫混合模型能够准确地校准各种市场隐含的CDS/PD期限结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Risk Neutralization of Transition Matrix
Risk-neutral transition matrix term structure is an essential component of rating-based credit derivative pricing models. However, generation of suitable risk-neutral transition matrix term structure remains a challenging problem. Many calibration models in the literature either are unstable or result in poor fit to the market implied default probability term structure.In this paper, we propose a new risk-neutral transition matrix term structure calibration method in which the conditional rating transition matrix is a mixture of Markov chains. Numerical results indicate that the local Markov mixture model is capable of accurately calibrating to a variety of market implied CDS/PD term structure.
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