On the Sensitivity of a Dynamic Measure of Financial Inequality

IF 0.3 Q4 MATHEMATICS
G. D’Amico, S. Scocchera, L. Storchi
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引用次数: 0

Abstract

In the present work, we investigate the sensitivity of the dynamic Theil index computed under a Markov reward model with respect to structured perturbations affecting the underlying Markov process. The model is applied to the sovereign credit spread evolution as a proxy for financial risk, which are driven by the sovereign credit rating dynamic. The introduction of such perturbations allows to evaluate the sensitivity of the inequality of the financial risk in a given group of financial entities with respect to the uncertainty in the rating dynamics. To this end we perform a simulation based sensitivity analysis. The methodology is applied to real data concerning sovereign credit ratings and long-term interest rates on government bonds of 24 European countries. Obtained results suggest different sensitivity of the inequality measure to the 12 scenarios built supposing different ways the perturbations could affect the rating process.
金融不平等动态测度的敏感性研究
在目前的工作中,我们研究了在马尔可夫奖励模型下计算的动态Theil指数对影响底层马尔可夫过程的结构化扰动的敏感性。将该模型应用于主权信用评级动态驱动下的主权信用息差演变作为金融风险的代理。引入这种扰动可以评价某一组金融实体的金融风险不平等对评级动态的不确定性的敏感性。为此,我们进行了基于仿真的灵敏度分析。该方法应用于有关24个欧洲国家主权信用评级和政府债券长期利率的实际数据。所得结果表明,假设扰动影响评级过程的不同方式,不等式度量对12种情景的敏感性不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.70
自引率
33.30%
发文量
0
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