Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Computing | en_US |
| dc.creator | Tsang, Shu-fung | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/4883 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Bankruptcy prediction and credit evaluation for small and medium size enterprises : a neural networks-expert system hybrid approach | en_US |
| dcterms.abstract | Bankruptcy has long been an issue that arouse great concerns. Altman is one of the pioneers in the study of bankruptcy prediction. He has developed the Z-score model and the Zeta model which are widely adopted by financial institutions for evaluation of financial risk. Altman employed multiple discriminant analysis (MDA) in development of the models. Although Altman's models attain quite good prediction accuracy, the models are not targeted for environment as Hong Kong where significant proportion of the companies are small and medium size enterprises (SMEs). After the introduction of neural networks (NN), many researches have been conducted which aimed at using NN to obtain a better solution. The objective of this study are to develop a NN bankruptcy prediction model for SMEs in Hong Kong. The NN model so developed will be compared with the Altman's models and the MDA result. Finally, a front end expert system prototype for the support of loan application for financial institutions will be developed. | en_US |
| dcterms.extent | 153, [50] leaves : ill. ; 30 cm | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 1998 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.LCSH | Small business -- China -- Hong Kong | en_US |
| dcterms.LCSH | Bankruptcy -- Forecasting -- Mathematical models | en_US |
| dcterms.LCSH | Business failures -- Forecasting -- Mathematical models | en_US |
| dcterms.LCSH | Credit ratings -- China -- Hong Kong | en_US |
| dcterms.LCSH | Neural networks (Computer science) -- Mathematical models | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b14391569.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 5.85 MB | Adobe PDF | View/Open |
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