Bankruptcy prediction: Application of the Taylor's expansion in logistic regression

By Erkki K. Laitinen, Teija Laitinen. 2000

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Measuring and Managing Credit Risk (2004, background): “Leland and Pyle (1977) were the first to identify that banks have an advantage over investors, based on the privileged information they collect on loans and borrowers.”
Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2006, background): “Logistic regression models have been widely discussed in social research, medical research, design, control, bankruptcy prediction, market segmentation, and customer behaviors (Flagg et al., 1991; Kay et al., 2000; Laitinen and Laitinen, 2000; Suh et al., 1999).”