Predicting Multi-Period Corporate Default Based on Bayesian Estimation of Forward Intensity—Evidence from China
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| datacite.relatedItem.relatedIdentifierType | ISSN | |
| datacite.relatedItem.relatedItemIdentifier | 2079-8954 | |
| datacite.relatedItem.relationType | IsPublishedIn | |
| datacite.relatedItem.title | Systems | |
| datacite.relatedItem.volume | 11 | |
| dc.contributor.author | Zhengfang Ni | |
| dc.contributor.author | Minghui Jiang | |
| dc.contributor.author | Wentao Zhan | |
| dc.date.accessioned | 2025-05-22T11:19:20Z | |
| dc.date.available | 2025-05-22T11:19:20Z | |
| dc.date.issued | 2022 | |
| dc.identifier.doi | https://doi.org/10.3390/systems11010018 | |
| dc.identifier.other | jz000180-0018 | |
| dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/37438 | |
| dc.publisher | MDPI AG | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 600 | |
| dc.title | Predicting Multi-Period Corporate Default Based on Bayesian Estimation of Forward Intensity—Evidence from China | |
| dc.type | Article | |
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