A Two-Country Study of Default Risk Prediction Using Bayesian Machine-Learning

Machine Learning for Zombie Hunting: Predicting Distress from Firms' Accounts and Missing Values

“…In this context, Bargagli-Stoffi et al (2021) provides a comprehensive review of the recent literature on the use of machine learning for the analysis firm dynamics. The authors highlight that the majority of work dealing with the prediction of bankruptcy or financial distress uses either decision tree-based techniques (see, e.g., Behr and Weinblat, 2017;Linn and Weagley, 2019;Moscatelli et al, 2019;De Martiis et al, 2020;Davies et al, 2023;Incerti et al, 2022) or neural network-based methods (see, e.g., Alaka et al, 2018;Brédart, 2014;Hosaka, 2019;Sun and Li, 2011;Tsai and Wu, 2008;Tsai et al, 2014;Wang et al, 2014;Lee et al, 1996;Udo, 1993).…”