校園頭條

【研究發展處訊】

資料科學系蔡芸琤副教授發表期刊論文

A pricing model with dynamic credit rating transition matrixes

作者：Yun-Cheng Tsai, Sheng-Hsuan Lin and Yuh-Dauh Lyuu

Journal of Risk Model Validation (SSCI)

卷冊：15 期：3

頁碼：103-121

出版日期：Sep. 2021

摘要

A credit-sensitive note (CSN) is a corporate coupon-bearing bond whose floating coupon rates link to the credit rating of the corporation. Acharya, Das and Sundaram proposed a model to price them, but their lattice algorithm runs in exponential time. Further, the Acharya–Das–Sundaram (ADS) model uses a constant credit rating transition matrix, which is rarely the case in reality. This paper incorporates a stochastic credit rating transition matrix into the ADS model and implements a simulation-based pricing method. When applied to CSN pricing, our approach is more efficient than the lattice method. It also shows that the stochasticity of the credit rating transition matrix has an impact on the prices, particularly for lower-rated classes.

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