Grading the Probabilities of Credit Default Risk for Malaysian Listed Companies by Using the KMV-Merton Model

被引:0
|
作者
Anuwar, Muhammad Hafidz [1 ]
Jaffar, Maheran Mohd [1 ]
机构
[1] Univ Teknol MARA, Fac Comp & Math Sci, Shah Alam 40450, Malaysia
关键词
D O I
10.1063/1.4995857
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper provides an overview for the assessment of credit risk specific to the banks. In finance, risk is a term to reflect the potential of financial loss. The risk of default on loan may increase when a company does not make a payment on that loan when the time comes. Hence, this framework analyses the KMV-Merton model to estimate the probabilities of default for Malaysian listed companies. In this way, banks can verify the ability of companies to meet their loan commitments in order to overcome bad investments and financial losses. This model has been applied to all Malaysian listed companies in Bursa Malaysia for estimating the credit default probabilities of companies and compare with the rating given by the rating agency, which is RAM Holdings Berhad to conform to reality. Then, the significance of this study is a credit risk grade is proposed by using the KMV-Merton model for the Malaysian listed companies.
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页数:8
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