Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Computing | en_US |
| dc.creator | Zheng, Daohong. | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/5383 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Use data ming [sic] techniques to build financial crisis prediction models : joining financial and non financial indicator | en_US |
| dcterms.abstract | Enterprise operating status will be disclosed periodically in financial statement and investors can get fully information once the formal financial statements are disclosed and published. If executives of firms intentionally dress financial statement up, investors can not get real enterprise operating status from it. However, non-financial information was proved to be able to predict financial distress by former researchers. But few studies exploit stock information to construct financial crisis prediction model. The study uses financial information to predict corporate financial distress. We get 93 financial distresses and 85 normal firms for sampling data. Regarding to my data gathering and former researchers' experience, we exploit 26 financial indicators and 5 non-financial indicators for our input data. Decision tree and neural network analysis were used by the study to construct financial crisis prediction model and found decision tree analysis obtains better prediction accuracy financial crisis, also found to not improve to prediction accuracy when joining in non-financial indicators in China mainland. | en_US |
| dcterms.alternative | Use data mining techniques to build financial crisis prediction models : joining financial and non financial indicator | - |
| dcterms.extent | 45 leaves : ill. ; 30 cm. | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2007 | 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 | Financial crises -- Prevention | en_US |
| dcterms.LCSH | Data mining | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b21463992.pdf | 1.38 MB | Adobe PDF | View/Open |
Copyright Undertaking
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item:
https://theses.lib.polyu.edu.hk/handle/200/5383