An Optimal Model of Financial Distress Prediction: A Comparative Study between Neural Networks and Logistic Regression

An Optimal Model of Financial Distress Prediction: A Comparative Study between Neural Networks and Logistic Regression

In the face of rising defaults and limited studies on the prediction of financial distress in Morocco, this article aims to determine the most relevant predictors of financial distress and identify its optimal prediction models in a normal Moroccan economic context over two years. To achieve these o...

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Bibliographic Details
Main Authors: Youssef Zizi, Amine Jamali-Alaoui, Badreddine El Goumi, Mohamed Oudgou, Abdeslam El Moudden
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Risks
Subjects:
financial distress prediction
logistic regression
neural networks
feature selection
SMEs
econometric modeling
Online Access:https://www.mdpi.com/2227-9091/9/11/200

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