In order to reduce default risk, financial institutions have been investigating into credit ratings of companies, which they want to give credit to. This research tries to give a method for financial institutions to differentiate between default and normal company with financial ratios, which is already announced in their seasonal financial reports. The samples are abstracted from security markets, and restricted to building companies. With Discriminant analysis and Logistic regression models, financial institutions can estimate what company may become into default situation and others stay in good condition.
According to this research, financial ratios that can be used to discriminate between default and normal companies are: net worth ratio and short-turn borrowing/liquid asset and asset turnover and gross profit margin. It can also be described with asset turnover and gross profit margin if default risk is been estimated.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0909104-021905 |
| Date | 09 September 2004 |
| Creators | Huang, Yi-ching |
| Contributors | Chen, Ming-Chi, David S. Shyu, Kuo, Ghau-Jung |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0909104-021905 |
| Rights | campus_withheld, Copyright information available at source archive |
Page generated in 0.0019 seconds