Name
Abstract | ||
|---|---|---|
Credit risk management, which is the basic of the credit application, is the most perfect embodiment in the batik credit application and asset supervision. The ultimate purpose of credit risk management is to ensure that credit fund is of safety, profitability and fluidity. At present, it is extremely important of commercial banks to set up in early batik risk warning, The author who makes great effort on the credit risk and its reason, besides bringing it? the western commercial banks experience of bank credit risk management, makes researches on credit risk in a microcosmic view The author sets up early warning indicators for commercial bank credit risk, and carries out the warning for the credit risk in advance with the help of artificial neural networks. The experiment has proved that this method is objective and effective. So it can provide theoretical basis, which is more scientific and credible for detection and early warning about commercial bank credit risk. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/COGINF.2009.5250682 | PROCEEDINGS OF THE 8TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS |
Keywords | Field | DocType |
BP neural networks, Credit risk, Early warning, Commercial bank | Financial risk management,Credit history,Credit card interest,Actuarial science,Credit reference,Credit rating,Credit enhancement,Credit risk,Credit crunch,Business | Conference |
Citations | PageRank | References |
1 | 0.49 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shufang Zhao | 1 | 1 | 1.50 |
| Li-Chao Chen | 2 | 14 | 7.02 |