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Finding relevant variables in a financial distress prediction problem using genetic programming and self-organizing maps

Alfaro-Cid, E.; Mora, A. M.; Merelo, J. J.; … - In: Natural computing in computational finance : volume 2 ; …, (pp. 31-49). 2009

Persistent link: https://www.econbiz.de/10009515160

Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables

Hernandez Tinoco, Mario; Wilson, Nicholas - In: International review of financial analysis 30 (2013), pp. 394-419

Persistent link: https://www.econbiz.de/10010461542

Bankruptcy prediction using neural networks

Anandarajan, Murugan; Lee, Picheng; Anandarajan, Asokan - In: Business intelligence techniques : a perspective from …, (pp. 117-132). 2004

Persistent link: https://www.econbiz.de/10002056626

Predicting bankruptcy using recursive partitioning and a realistically proportioned data set

McKee, Thomas E.; Greenstein, Marilyn - In: Journal of forecasting 19 (2000) 3, pp. 219-230

Persistent link: https://www.econbiz.de/10001473497

Il rischio di credito : metodologie avanzate di previsione delle insolvenze

Bertoni, Alberto (contributor); Ecchia, Stefano (ed.) - 1996

Persistent link: https://www.econbiz.de/10000971305

Forecasting corporate failure with neural network approach : the Greek case

Zapranis, Achilleas; Ginoglou, Demetrios - In: Journal of financial management and analysis : … 13 (2000) 2, pp. 11-20

Persistent link: https://www.econbiz.de/10001581574

Accuracy of Financial Distress Model Prediction : The Implementation of Artificial Neural Network, Logistic Regression, and Discriminant Analysis

Nur, Triasesiarta - 2020

The ability to predict financial failure forms an essential topic in financial research. The various models developed to predict the occurrence of Financial Distress and serve as an early warning system for the company's stakeholders before bankruptcy occurs. Enhanced accuracy of the predictions...

Persistent link: https://www.econbiz.de/10012834492

Prediction of the bankruptcy of Slovak companies using neural networks with SMOTE

Tumpach, Miloš; Surovičová, Adriana; Juhászová, Zuzana - In: Ekonomický časopis : časopis pre ekonomickú … 68 (2020) 10, pp. 1021-1039

Persistent link: https://www.econbiz.de/10012591738

Forecasting corporate failure using ensemble of self-organizing neural networks

Jardin, Philippe du - In: European journal of operational research : EJOR 288 (2021) 3, pp. 869-885

Persistent link: https://www.econbiz.de/10012387380

Predicting financial distress : multi scenarios modeling using neural network

Gameel, Mohamed Sameh; El-Geziry, Khairy - In: International journal of economics and finance 8 (2016) 11, pp. 159-166

Persistent link: https://www.econbiz.de/10011586323