欧元区主权违约风险与资本:贝叶斯方法

Rainer Jobst, Daniel Rösch
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引用次数: 5

摘要

使用贝叶斯广义线性混合模型(GLMM),我们分析了欧元区主权真实世界的违约概率和相关性,并比较了监管和经济资本要求。该方法结合了先验信息和稀疏的主权历史默认数据。一个主要发现是,根据估计违约概率的方法,巴塞尔内部评级方法(IRBA)下的资本比标准化方法(SA)下的资本高出2.06至8.86倍。这种差异主要是由SA下高评级证券的零资本费用驱动的。此外,在贝叶斯模型下,在99%的置信水平下,使用预期缺口,巴塞尔IRBA资本大致相当于经济资本。结果表明,SA下的零风险权重与经济风险不一致,为监管套利提供了机会。
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Eurozone Sovereign Default Risk and Capital: A Bayesian Approach
Using a Bayesian generalized linear mixed model (GLMM), we analyze Eurozone sovereign real-world default probabilities and correlations, and compare regulatory and economic capital requirements. The approach combines prior information and sparse sovereign historical default data. One main finding is that capital under the Basel internal ratings based approach (IRBA) is higher than under the standardized approach (SA) by a factor of 2.06 to 8.86, depending on the method for estimating the probability of default. This divergence is driven mainly by zero capital charges for highly rated securities under the SA. Furthermore, under the Bayesian model, Basel IRBA capital is roughly equivalent to economic capital using the expected shortfall at a 99% confidence level. The results suggest that the zero risk weights under the SA are not consistent with economic risk and offer opportunities for regulatory arbitrage.
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来源期刊
Journal of Fixed Income
Journal of Fixed Income Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.10
自引率
0.00%
发文量
23
期刊介绍: The Journal of Fixed Income (JFI) provides sophisticated analytical research and case studies on bond instruments of all types – investment grade, high-yield, municipals, ABSs and MBSs, and structured products like CDOs and credit derivatives. Industry experts offer detailed models and analysis on fixed income structuring, performance tracking, and risk management. JFI keeps you on the front line of fixed income practices by: •Staying current on the cutting edge of fixed income markets •Managing your bond portfolios more efficiently •Evaluating interest rate strategies and manage interest rate risk •Gaining insights into the risk profile of structured products.
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