Výsledky vyhledávání - "Aida Krichene"

Akademický článek

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

Autor: Aida Krichene

Publikováno v: Journal of Economics Finance and Administrative Science, Vol 22, Iss 42, Pp 3-24 (2017)

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 understand the risk levels of credit users (corporations and i

Externí odkaz: https://doaj.org/article/e67e306cd28b49a79db2252276151910

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Internal audit quality: perceptions of Tunisian internal auditors an explanatory research

Autor: Aida Krichene, Emna Baklouti

Publikováno v: Journal of Financial Reporting and Accounting. 19:28-54

Purpose The purpose of this study is to understand how internal auditors perceive the internal audit quality and to highlight the different profiles of internal auditors based on their perception of internal audit quality determinants. Design/methodo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::65948052d8f6fe040a00d1164a41ad99
https://doi.org/10.1108/jfra-01-2020-0010

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Audit quality: external auditors' perceptions: evidence from Tunisia

Autor: Emna Baklouti, Aida Krichene

Publikováno v: African J. of Accounting, Auditing and Finance. 1:1

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f45ad8b96d2c47dd22598344bab0accb
https://doi.org/10.1504/ajaaf.2021.10042393

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Akademický článek

Bank credit risk analysis with k-nearestneighbor classifier: Case of Tunisian banks.

Autor: Abdelmoula, Aida Krichene¹

Publikováno v: Journal of Accounting & Management Information Systems / Contabilitate si Informatica de Gestiune. 2015, Vol. 14 Issue 1, p79-106. 28p.

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Credit–Risk Assessment Using Support Vectors Machine and Multilayer Neural Network Models: A Comparative Study Case of a Tunisian Bank

Autor: Adel KARAA, Aida KRICHENE

Publikováno v: Journal of Accounting and Management Information Systems. 11(4):587-620

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 defaulted. To understand risk levels of credit users (corporations an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______645::efeac2a033acff73062e243a6a517cba
http://www.cig.ase.ro/articles/11_4_5.pdf

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