›› 2012, Vol. 24 ›› Issue (2): 78-87.

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An Research on Customers Default Rate of Commercial Banks in China Based on Credit Scoring Models

  

  1. 1.Research Center on Fictitious Economy and Data Science of CAS, Beijing 100190; 2. The Export-import Bank of China, Beijing 100031; 3. Guanghua School of Management, Peking University, Beijing 100871; 4. Postdoctoral Program of Agricultural Bank of China, Beijing 100005
  • Received:2012-06-19 Revised:2012-06-19 Online:2012-02-25 Published:2012-06-20

Abstract: Nowadays commercial banks are facing more and more complex risk factors. Credit risk is the most important and complex one. Basel II presents two methods on credit risk management including Standard Approach and Internal Rating-Based Approach (IRB). It also points out that banks which are suitable to do so should apply the IRB approach to estimate the probability of customers’ default by constructing models on historical data. Taking the IRB approach and the actual situation in China into consideration, this paper discusses problems of estimating the probability of customers’ default.

Key words: personal default rate, corporate default rate, logistic, MCLP