制度转换结构性违约风险模型

IF 2 Q2 BUSINESS, FINANCE
Risks Pub Date : 2024-03-04 DOI:10.3390/risks12030048
Andreas Milidonis, Kevin Chisholm
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引用次数: 0

摘要

我们建立了制度转换违约风险(RSDR)模型,作为默顿违约风险(MDR)模型的一般化。RSDR 模型支持范围更广的资产概率密度函数。首先,我们通过模拟证明,RSDR 模型比 MDR 模型更快地纳入资产价值的突然变化。其次,我们利用最大似然估计法,对 RSDR、MDR 和具有漂移参数变化的 MDR 模型扩展进行了实证研究。针对主要用于投资建议的公司评级下调前后的时期,我们发现 RSDR 模型利用股票平均收益率和波动率的变化,比两个基准模型更快地得出更高的估计违约概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Regime-Switching Structural Default Risk Model
We develop the regime-switching default risk (RSDR) model as a generalization of Merton’s default risk (MDR) model. The RSDR model supports an expanded range of asset probability density functions. First, we show using simulation that the RSDR model incorporates sudden changes in asset values faster than the MDR model. Second, we empirically implement the RSDR, MDR and an extension of the MDR model with changes in drift parameters, using maximum likelihood estimation. Focusing on the period before and after corporate rating downgrades used primarily for investment advice, we find that the RSDR model uses changes in equity mean returns and volatility to produce higher estimated default probabilities, faster, than both benchmark models.
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来源期刊
Risks
Risks Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
3.80
自引率
22.70%
发文量
205
审稿时长
11 weeks
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