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Neural networks VS discriminant analysis in the assessment of default

Wójcicka, Aleksandra - In: Annales Universitatis Mariae Curie-Skłodowska 51 (2017) 5, pp. 339-349

Persistent link: https://www.econbiz.de/10011990622

Capacity of neural networks and discriminant analysis in classifying potential debtors

Piasecki, Krzysztof; Wójcicka-Wójtowicz, Aleksandra - In: Folia oeconomica Stetinensia : FOS 17 (2017) 2, pp. 129-143

Persistent link: https://www.econbiz.de/10011931015

An investigation of the effect of variable reduction on classification accuracy rates of consumer loans

Zurada, Jozef - In: Review of business information systems 17 (2013) 4, pp. 135-139

Persistent link: https://www.econbiz.de/10010231895

Maschinelles Lernen, neuronale Netze und statistische Lernverfahren zur Klassifikation und Prognose : theoretische Analyse und ökonomische Anwendung

Jafar-Shaghaghi, Fariba - 1996 - Als Ms. gedr

Persistent link: https://www.econbiz.de/10000930818

Prediction of corporate credit ratings with machine learning : simple interpretative models

Galil, Koresh; Hauptman, Ami; Rosenboim, Rosit Levy - 2023

Persistent link: https://www.econbiz.de/10014634152

A deep learning approach to estimate forward default intensities

Divernois, Marc-Aurèle - 2020 - Preliminary draft

This paper proposes a machine learning approach to estimate physical forward default intensities. Default probabilities are computed using artificial neural networks to estimate the intensities of the inhomogeneous Poisson processes governing default process. The major contribution to previous...

Persistent link: https://www.econbiz.de/10012419329

Support vector machine methods and artificial neural networks used for the development of bankruptcy prediction models and their comparison

Horák, Jakub; Vrbka, Jaromir; Suler, Petr - In: Journal of risk and financial management : JRFM 13 (2020) 3/60, pp. 1-15

affected by various external and internal factors that may influence a company in insolvency and lead to bankruptcy. It is …

Persistent link: https://www.econbiz.de/10012302458

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

Faillissementspredictie : een vergelijking tussen lineaire discriminantanalyse en neurale netwerken

Pompe, Paul; Bilderbeek, Jan - In: Economisch en sociaal tijdschrift : een driemaandelijke … 54/55 (2000/01) 2, pp. 215-242

Persistent link: https://www.econbiz.de/10001502660

Möglichkeiten und Grenzen der Insolvenzprognose auf der Grundlage von Jahresabschlußinformationen

Thiele, Oliver; Lohmann, Karl - 1995

Persistent link: https://www.econbiz.de/10000919585