Bankruptcy prediction and stress quantification using support vector machine : evidence from Indian banks
Year of publication: |
2020
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Authors: | Shrivastava, Santosh Kumar ; Ramudu, P. Janaki |
Published in: |
Risks : open access journal. - Basel : MDPI, ISSN 2227-9091, ZDB-ID 2704357-5. - Vol. 8.2020, 2/52, p. 1-22
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Subject: | failure prediction | relief algorithm | machine learning | support vector machine | kernel function | Prognoseverfahren | Forecasting model | Mustererkennung | Pattern recognition | Insolvenz | Insolvency | Künstliche Intelligenz | Artificial intelligence | Bankinsolvenz | Bank failure | Indien | India | Lieferkette | Supply chain | Algorithmus | Algorithm |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.3390/risks8020052 [DOI] hdl:10419/258006 [Handle] |
Classification: | C53 - Forecasting and Other Model Applications ; c55 ; C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; C82 - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data ; B41 - Economic Methodology ; C40 - Econometric and Statistical Methods: Special Topics. General |
Source: | ECONIS - Online Catalogue of the ZBW |
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