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Estimation of Default Probabilities: Application of the Discriminant Analysis and the Structural Approach for Companies Listed on the BVC

机译:估计违约概率:歧视分析的应用及BVC上市公司的结构方法

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This article aims to compare the calculated results of the structural approach (Internal Ratings-Based IRB) and the discriminant analysis (Z-score of Altman style="font-family:Verdana;">, style="font-family:Verdana;"> 1968), based on data from companies listed on the BVC for the period from 02 January 2014 to December 31, 2014. The structural approach is directly linked to the economic reality of the company; the default takes place as soon as the market value of these assets falls below a certain threshold. The major constraint for this approach is the determination of the probabilities of default. This situation is overcome by using the Black & Scholes (1973) style="font-family:" color:#943634;"=""> style="font-family:Verdana;">model, based on Monte Carlo simulations. While the Z-score method is a financial analysis technique of business failure predictions, which is based on financial and economic ratios.
机译:本文旨在比较结构方法(基于内部评级的IRB)和判别分析的计算结果(Altman <跨度样式=“Font-Family:Verdana;”> 1968),根据BVC上市的公司2014年1月02日至2014年12月31日的数据。结构方法与公司的经济现实直接相关;一旦这些资产的市场价值低于某个门槛,默认会发生违约。这种方法的主要约束是确定默认概率。通过使用Black&Scholes(1973) style =“font-family:”颜色:#943634;“=”> style =“font-family: Verdana;“>模型,基于Monte Carlo模拟。虽然Z-Score方法是业务失败预测的财务分析技术,其基于金融和经济比率。

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