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An empirical comparison of classification algorithms for mortgage default prediction : evidence from a distressed mortgage market

Fitzpatrick, Trevor; Mues, Christophe - In: European journal of operational research : EJOR 249 (2016) 2, pp. 427-439

Persistent link: https://www.econbiz.de/10011436704

Predicting bank insolvencies using machine learning techniques

Petropoulos, Anastasios; Siakoulis, Vasilis; … - In: International journal of forecasting 36 (2020) 3, pp. 1092-1113

Persistent link: https://www.econbiz.de/10012497724

Distressed Chinese firm prediction with discretized data

Huang, Jun; Wang, Haibo; Kochenberger, Gary - In: Management decision : MD 55 (2017) 5, pp. 786-807

Persistent link: https://www.econbiz.de/10011673007

Post-reorganization survival : a semi-parametric and non-parametric analysis of firm characteristics

Fattah, Lara Abdel; Barthélémy, Sylvain; Levratto, Nadine - 2016

Persistent link: https://www.econbiz.de/10011737176

The importance of financial and non-financial ratios in SMEs bankruptcy prediction

Ptak-Chmielewska, Aneta; Matuszyk, Anna - In: Bank i kredyt 49 (2018) 1, pp. 45-62

Persistent link: https://www.econbiz.de/10011896592

Crypto-coins and credit risk : modelling and forecasting their probability of death

Fantazzini, Dean - In: Journal of risk and financial management : JRFM 15 (2022) 7, pp. 1-34

This paper examined a set of over two thousand crypto-coins observed between 2015 and 2020 to estimate their credit risk by computing their probability of death. We employed different definitions of dead coins, ranging from academic literature to professional practice; alternative forecasting...

Persistent link: https://www.econbiz.de/10013370404