Comparative study of support vector machines and random forests machine learning algorithms on credit operation

G Teles, JJPC Rodrigues, RAL Rabelo… - Software: Practice …, 2021 - Wiley Online Library
Corporate insolvency has significant adverse effects on an economy. With the number of
multinationals increasing rapidly, corporate bankruptcy can severely disrupt the global …

Artificial neural network and Bayesian network models for credit risk prediction

G Teles, J Rodrigues, RAL Rabê… - Journal of Artificial …, 2020 - iecscience.org
Credit risk threatens financial institutions and may result in irrecoverable consequences.
Tools for risk prediction can be used to reduce bank insolvency. This study compares …

Using a naive Bayesian classifier methodology for loan risk assessment: Evidence from a Tunisian commercial bank

A Krichene - Journal of Economics, Finance and Administrative …, 2017 - emerald.com
Purpose Loan default risk or credit risk evaluation is important to financial institutions which
provide loans to businesses and individuals. Loans carry the risk of being defaulted. To …

[PDF][PDF] Bank credit risk analysis with k-nearest-neighbor classifier: Case of Tunisian banks

AK Abdelmoula - Accounting and Management Information Systems, 2015 - cig.ase.ro
Credit risk is defined as the risk that borrowers will fail to pay its loan obligations. In recent
years, a large number of banks have developed sophisticated systems and models to help …

[PDF][PDF] Credit-risk assessment using support vectors machine and multilayer neural network models: a comparative study case of a tunisian bank

A Karaa, A Krichene - Accounting and Management Information …, 2012 - online-cig.ase.ro
Credit risk evaluation or loan default risk evaluation is important to financial institutions
which provide loans to businesses and individuals. Credit and loans have risk of being …

CREDIT-RISK EVALUATION OF A TUNISIAN COMMERCIAL BANK: LOGISTIC REGRESSION VS NEURAL NETWORK MODELLING.

H Matoussi… - Journal of Accounting & …, 2010 - search.ebscohost.com
This paper addresses the question of default prediction of short term loans for a Tunisian
commercial bank We make a comparative analysis of two different statistical method of …

[PDF][PDF] Using a neural network-based methodology for credit–risk evaluation of a Tunisian bank

H Matoussi, A Abdelmoula - Middle Eastern Finance and Economics, 2009 - erf.org.eg
Credit–risk evaluation is a very important and challenging problem for financial institutions.
Many classification methods have been suggested in the literature to tackle this problem …

[引用][C] Credit risk assessment using Multilayer Neural Network Models-Case of a Tunisian bank

H Matoussi, A Krichene - 2007