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Predicting the credit risk through Merton model

机译:通过默顿模型预测信用风险

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摘要

The paper gives an overview of current conceptual framework for the credit risk assessment dedicated to banks. The framework utilises the Merton model to estimate the default probabilities of companies that are supposed to be the main borrowers causing a formation of a greater credit risk in banks. By doing this, banks are able to reaffirm the ability of their borrowers in meeting loans commitments. Conceivably, it can facilitate the banking decision-making process and next complementing the existing instruments of credit risk mitigation. In the meantime, the paper compares the changes of values exist in company's asset and its volatility, company's drift rate and company's default probability if iterative procedure is applied in the framework. It is found that the values change in each variable is negligibly small to give much effect in predicting the credit risk. An example of Petra Perdana Berhad was done for the framework application.
机译:本文概述了当前致力于银行的信用风险评估的当前概念框架。该框架利用Merton模型来估计应该是主要借款人的默认概率,导致银行在银行中形成更大的信用风险。通过这样做,银行能够重申借款人在会议贷款承诺中的能力。可以想象,它可以促进银行决策过程,下一步补充现有的信贷风险减缓工具。与此同时,如果在框架中应用迭代程序,该论文会比较公司资产和波动率,公司的漂移率和公司默认概率的变化。结果发现,每个变量中的值变化是可忽略的小,以便在预测信用风险方面具有很大的影响。为框架应用完成了Petra Perdana Berhad的一个例子。

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