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Conceptual and Statistical Issues Regarding the Probability of Default and Modeling Default Risk

机译:有关违约概率和建模违约风险的概念和统计问题

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In today’s rapidly evolving financial markets, risk management offers different techniques in order to implement an efficient system against market risk. Probability of default (PD) is an essential part of business intelligence and customer relation management systems in the financial institutions. Recent studies indicates that underestimating this important component, and also the loss given default (LGD), might threaten the stability and smooth running of the financial markets. From the perspective of risk management, the result of predictive accuracy of the estimated probability of default is more valuable than the standard binary classification: credible or non credible clients. The Basle II Accord recognizes the methods of reducing credit risk and also PD and LGD as important components of advanced Internal Rating Based (IRB) approach.
机译:在当今快速发展的金融市场中,风险管理提供了不同的技术,以实施针对市场风险的有效系统。违约概率(PD)是金融机构中商务智能和客户关系管理系统的重要组成部分。最近的研究表明,低估这一重要组成部分以及违约损失(LGD),可能会威胁金融市场的稳定和平稳运行。从风险管理的角度来看,估计违约概率的预测准确性的结果比标准的二进制分类(可信或不可信的客户)更有价值。 《巴塞尔协议II》认识到降低信用风险的方法以及PD和LGD是高级基于内部评级(IRB)方法的重要组成部分。

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