Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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C: FINANCE7K26Q
Summary: The paper objective is to measure the sensitivity of operational risk to the return on financial assets in Cameroon. The importance of bankruptcies and banking transactions observed over the last 20 years between the monetary authorities on the failures. Our sample consists of individual data from four banks in Cameroon. The data on the explanatory variables will be extracted from various bank numbers of banks and financing institutions, as well as from COBAC. All other variables are related to financial risk indicators. They will be automatically attributed to the accounts and reports published in the official journals in Cameroon. Our analysis shows that operational risk factors have a significant influence on the performance of banks’ assets in Cameroon.
Djekna Votsoma. 2018. \u201cL’influence Du Risque Opérationnel Sur Le Rendement Des Actifs Financiers Des Banques Au Cameroun : Analyse Des Crédits Improductifs Et Frais De Gestion\u201d. Global Journal of Management and Business Research - C: Finance GJMBR-C Volume 18 (GJMBR Volume 18 Issue C7): .
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Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 103
Country: Cameroon
Subject: Global Journal of Management and Business Research - C: Finance
Authors: Djekna Votsoma, Timba Gaelle Tatiana, Nzihi Nziki Zenga (PhD/Dr. count: 0)
View Count (all-time): 150
Total Views (Real + Logic): 2897
Total Downloads (simulated): 1525
Publish Date: 2018 12, Wed
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Neural Networks and Rules-based Systems used to Find Rational and
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Summary: The paper objective is to measure the sensitivity of operational risk to the return on financial assets in Cameroon. The importance of bankruptcies and banking transactions observed over the last 20 years between the monetary authorities on the failures. Our sample consists of individual data from four banks in Cameroon. The data on the explanatory variables will be extracted from various bank numbers of banks and financing institutions, as well as from COBAC. All other variables are related to financial risk indicators. They will be automatically attributed to the accounts and reports published in the official journals in Cameroon. Our analysis shows that operational risk factors have a significant influence on the performance of banks’ assets in Cameroon.
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