التحليل متعدد المتغيرات لقياس مخاطر التشغيل في المصارف العراقية | ||||
المجلة المصرية للدراسات التجارية | ||||
Article 10, Volume 40, Issue 3, July 2016, Page 393-414 PDF (925.03 K) | ||||
Document Type: المقالة الأصلية | ||||
DOI: 10.21608/alat.2016.218133 | ||||
View on SCiNiTO | ||||
Authors | ||||
محمد توفيق اسماعيل البلقيني1; البيومي عوض عوض طاقية2; هديل اسماعيل احمد1 | ||||
1کلية التجارة - جامعة المنصورة | ||||
2کلة التجارة - جامعة المنصورة | ||||
Abstract | ||||
The research use discriminate analysis which considered one of the important statistical methods in the classification of single observation or more for the populations under study depending on specific variables, and study the most significant financial indicators that affect in the operational risks in Iraq Banks. The study pointed to a number of conclusions among which: The concluded model was entirely efficient in predicting the operational risks in banks; just five financial ratios were statistically significant to predict the required model, which in turn were able to classify the operational risks in banks under study into (few) or (high) with (86.1%) accuracy level. The order of these ratios according to their relative importance was as follows: capital to total assets, yield on loans, debt to equity , liquid assets to total assets, investments to funding sources. | ||||
References | ||||
5. Arellano-Valle, R. B., & Contreras-Reyes, J. E. (2014). "Discriminant function arising from selection distributions: theory and simulation", arxiv.org/pdf/1406.0182 ,pp.1-18. | ||||
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