Determinants and Predictors of SMEs’ Financial Failure: A Logistic Regression Approach
This paper aims to identify the determinants and predictors of Small and Medium-sized Enterprises (SMEs)’ financial failure. Within this framework, we have opted for a quantitative method based on a sample of healthy and failing SMEs of a Moroccan bank. The main results of the different optimal mode...
Main Authors: | Youssef Zizi, Mohamed Oudgou, Abdeslam El Moudden |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-10-01
|
Series: | Risks |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9091/8/4/107 |
Similar Items
-
An Optimal Model of Financial Distress Prediction: A Comparative Study between Neural Networks and Logistic Regression
by: Youssef Zizi, et al.
Published: (2021-11-01) -
The Early Warning of Financial Failure for Iraqi Banks Based on Robust Adaptive Lasso Logistic Regression
by: Aqeel Jaafar Abbas Alshareefi, et al.
Published: (2024-01-01) -
The relationship between financial literacy and financial access among SMES in the Ekurhuleni municipality
by: Memory Changwesha, et al.
Published: (2023-09-01) -
COMPARING FINANCIAL DISTRESS PREDICTION MODELS BEFORE AND DURING RECESSION
by: Nataša Šarlija, et al.
Published: (2011-02-01) -
Determinants of Default Probability for Audited and Unaudited SMEs under Stressed Conditions in Zimbabwe
by: Frank Ranganai Matenda, et al.
Published: (2022-11-01)