Financial distress prediction using support vector machines and logistic regression

DOI10.1007/978-3-030-85254-2_26MaRDI QIDQ6637763

Deniz Koçak, Murat Atan, Seyyide Doğan

Publication date: 13 November 2024

zbMATH Keywords

support vector machinefinancial distresslogistic regression analysis

Mathematics Subject Classification ID

Applications of statistics to actuarial sciences and financial mathematics (62P05) Corporate finance (dividends, real options, etc.) (91G50)

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