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Neural networks VS discriminant analysis in the assessment of default
Wójcicka, Aleksandra - In: Annales Universitatis Mariae Curie-Skłodowska / H 51 (2017) 5, pp. 339-349
Persistent link: https://www.econbiz.de/10011990622
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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
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Credit scoring and default risk prediction : a comparative study between discriminant analysis & logistic regression
Khemais, Zaghdoudi; Nesrine, Djebali; Mohamed, Mezni - In: International journal of economics and finance 8 (2016) 4, pp. 39-53
Persistent link: https://www.econbiz.de/10011456360
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Linear discriminant analysis and logistic regression for default probability prediction : the case of an Italian local bank
D'Amato, Antonio; Mastrolia, Emiliano - In: International journal of managerial and financial … 14 (2022) 4, pp. 323-343
Persistent link: https://www.econbiz.de/10013415111
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Improving bankruptcy prediction in micro-entities by using nonlinear effects and non-financial variables
Blanco-Oliver, Antonio; Irimia-Dieguez, Ana; … - In: Finance a úvěr 65 (2015) 2, pp. 144-166
Persistent link: https://www.econbiz.de/10010504703
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Credit risk prediction : a comparative study between discriminant analysis and the neural network approach
Khemakhem, Sihem; Boujelbène, Younés - In: Journal of accounting & management information systems … 14 (2015) 1, pp. 60-78
Banks are concerned with the assessment of the risk of financial distress before giving out a loan. Many researchers proposed the use of models based on the Neural Networks in order to help the banker better make a decision. The objective of this paper is to explore a new practical way based on...
Persistent link: https://www.econbiz.de/10011311150
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The comparative performance of classification models : an empirical approach
Caiazza, Stefano - In: Monetary integration, markets and regulations, (pp. 17-65). 2004
Persistent link: https://www.econbiz.de/10002925951
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Modelling credit default in microfinance : an Indian case study
Viswanathan, P. K.; Shanthi, S. K. - In: Journal of emerging market finance 16 (2017) 3, pp. 246-258
Persistent link: https://www.econbiz.de/10011925349
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An implementation of ensemble methods, logistic regression, and neural network for default prediction in peer-to-peer lending
Dzik-Walczak, Aneta; Heba, Mateusz - In: Zbornik radova Ekonomskog Fakulteta u Rijeci : časopis … 39 (2021) 1, pp. 163-197
Persistent link: https://www.econbiz.de/10012615873
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Opening the black box : quantile neural networks for loss given default prediction
Kellner, Ralf; Nagl, Maximilian; Rösch, Daniel - In: Journal of banking & finance 134 (2022), pp. 1-20
Persistent link: https://www.econbiz.de/10013400086