The lending risk predicting of the folk informal financial organization from big data using the deep learning hybrid model
Tao Shi, Chongyang Li, Hong Wanyan, Ying Xu, Wei Zhang
| Year of publication: |
2022
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|---|---|
| Authors: | Shi, Tao ; Li, Chongyang ; Wanyan, Hong ; Xu, Ying ; Zhang, Wei |
| Published in: |
Finance research letters. - Amsterdam [u.a.] : Elsevier, ISSN 1544-6123, ZDB-ID 2181386-3. - Vol. 50.2022, p. 1-8
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| Subject: | COVID-19 pandemic | Folk lending risk forecasting | Hybrid model | LSTM | Coronavirus | Prognoseverfahren | Forecasting model | Kreditrisiko | Credit risk | Big Data | Big data | Epidemie | Epidemic | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.frl.2022.103212 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014239950