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A Research on the Predictability of Credit Risk of the Chinese Listed Companies Based on the KMV Model

机译:基于KMV模型的中国上市公司信用风险可预测性研究

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This paper improved the KMV model by using the GARCH model to estimate the volatility of the equity value, using iterative process to estimate the asset value and its volatility. The improved model modified the method in the valuation of non-tradable shares. The paper evaluates the credit risk of 30 companies listed in Shanghai and Shenzhen stock markets, concluding that the KMV model modified can not only identify the difference of credit risk between ST companies and normal companies well, but also indicate the change tendency of listed companies' credit quality correctly. The modified KMV model is able to recognize the deterioration of the credit quality one year ahead at least.
机译:本文通过使用GARCH模型估计权益价值的波动性,使用迭代过程估计资产价值及其波动性来改进KMV模型。改进后的模型修改了非流通股的估值方法。通过对沪深两市30家上市公司信用风险的评估,得出结论:修正后的KMV模型不仅可以很好地识别ST公司与正常公司之间的信用风险差异,而且可以指出上市公司的信用风险变化趋势。信用质量正确。改进的KMV模型至少可以提前一年识别信用质量的下降。

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