Predicting financial distress of Chinese listed companies using a novel hybrid model framework with an imbalanced-data perspective
Tong Zhang and Zhichong Zhao
| Year of publication: |
2022
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|---|---|
| Authors: | Zhang, Tong ; Zhao, Zhichong |
| Published in: |
The journal of risk model validation. - London : Infopro Digital, ISSN 1753-9579, ZDB-ID 2316764-6. - Vol. 16.2022, 1, p. 23-52
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| Subject: | financial distress prediction | imbalanced data | Chinese listed companies | hybridmodel | logistic regression | neural network | China | Prognoseverfahren | Forecasting model | Insolvenz | Insolvency | Aktiengesellschaft | Listed company | Neuronale Netze | Neural networks | Regressionsanalyse | Regression analysis |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.21314/JRMV.2021.012 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014540541