A Research on Corporate Bond Defaults in the Chinese Market
Using data from the Chinese fixed income market, this thesis builds up a logistic regression model mainly consisting of both financial condition variables and financial report quality variables. The analysis suggests the degree of effect for different variables and thus provides a reference for cred...
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| Other Authors: | |
| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/138950 |
| _version_ | 1826202230457368576 |
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| author | Chen, Yiwen |
| author2 | Noe, Christopher Francis |
| author_facet | Noe, Christopher Francis Chen, Yiwen |
| author_sort | Chen, Yiwen |
| collection | MIT |
| description | Using data from the Chinese fixed income market, this thesis builds up a logistic regression model mainly consisting of both financial condition variables and financial report quality variables. The analysis suggests the degree of effect for different variables and thus provides a reference for credit risk assessment. Supporting evidence is also provided to show that the model can predict default one year in advance effectively and perform better than the main rating agency companies. |
| first_indexed | 2024-09-23T12:04:14Z |
| format | Thesis |
| id | mit-1721.1/138950 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T12:04:14Z |
| publishDate | 2022 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1389502022-01-15T03:34:50Z A Research on Corporate Bond Defaults in the Chinese Market Chen, Yiwen Noe, Christopher Francis Sloan School of Management Using data from the Chinese fixed income market, this thesis builds up a logistic regression model mainly consisting of both financial condition variables and financial report quality variables. The analysis suggests the degree of effect for different variables and thus provides a reference for credit risk assessment. Supporting evidence is also provided to show that the model can predict default one year in advance effectively and perform better than the main rating agency companies. S.M. 2022-01-14T14:40:17Z 2022-01-14T14:40:17Z 2021-06 2021-06-10T19:12:57.586Z Thesis https://hdl.handle.net/1721.1/138950 In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Chen, Yiwen A Research on Corporate Bond Defaults in the Chinese Market |
| title | A Research on Corporate Bond Defaults in the Chinese Market |
| title_full | A Research on Corporate Bond Defaults in the Chinese Market |
| title_fullStr | A Research on Corporate Bond Defaults in the Chinese Market |
| title_full_unstemmed | A Research on Corporate Bond Defaults in the Chinese Market |
| title_short | A Research on Corporate Bond Defaults in the Chinese Market |
| title_sort | research on corporate bond defaults in the chinese market |
| url | https://hdl.handle.net/1721.1/138950 |
| work_keys_str_mv | AT chenyiwen aresearchoncorporatebonddefaultsinthechinesemarket AT chenyiwen researchoncorporatebonddefaultsinthechinesemarket |