Corporate credit risk management in the banking sector - From traditional to machine learning based methods
| dc.contributor | Aalto University | en |
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor.advisor | Seppälä, Tomi | |
| dc.contributor.author | Mäkelä, Iina | |
| dc.contributor.department | Tieto- ja palvelujohtamisen laitos | fi |
| dc.contributor.school | Kauppakorkeakoulu | fi |
| dc.contributor.school | School of Business | en |
| dc.date.accessioned | 2023-02-05T17:01:31Z | |
| dc.date.available | 2023-02-05T17:01:31Z | |
| dc.date.issued | 2022 | |
| dc.format.extent | 25 + 8 | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/119603 | |
| dc.identifier.urn | URN:NBN:fi:aalto-202302051953 | |
| dc.language.iso | en | en |
| dc.programme | Tieto- ja palvelujohtaminen | en |
| dc.subject.keyword | credit risk management | en |
| dc.subject.keyword | credit rating | en |
| dc.subject.keyword | machine learning | en |
| dc.subject.keyword | banks | en |
| dc.title | Corporate credit risk management in the banking sector - From traditional to machine learning based methods | en |
| dc.type | G1 Kandidaatintyö | fi |
| dc.type.ontasot | Bachelor's thesis | en |
| dc.type.ontasot | Kandidaatintyö | fi |
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