Improving risk assessment techniques in the banking sector / Ahmed Mahmoud Salim Eliwa ; Supervised Hegazy Mohamed Zaher , Assem Abdelfattah Tharwat , Ramadan Abdelhamed Zenelden
Material type: TextLanguage: English Publication details: Cairo : Ahmed Mahmoud Salim Eliwa , 2019Description: 176 P. : charts ; 25cmOther title:- تحسين اساليب تقييم المخاطر فى قطاع البنوك [Added title page title]
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Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
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Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.05.Ph.D.2019.Ah.I (Browse shelf(Opens below)) | Not for loan | 01010110079380000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.05.Ph.D.2019.Ah.I (Browse shelf(Opens below)) | 79380.CD | Not for loan | 01020110079380000 |
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Cai01.18.05.Ph.D.2019.Ah.H Hybrid approach for solving the multiobjective facility location problem / | Cai01.18.05.Ph.D.2019.Ah.H Hybrid approach for solving the multiobjective facility location problem / | Cai01.18.05.Ph.D.2019.Ah.I Improving risk assessment techniques in the banking sector / | Cai01.18.05.Ph.D.2019.Ah.I Improving risk assessment techniques in the banking sector / | Cai01.18.05.Ph.D.2019.Mo.E Economic and feasibility studies using optimization techniques for petroleum and gas projects / | Cai01.18.05.Ph.D.2019.Mo.E Economic and feasibility studies using optimization techniques for petroleum and gas projects / | Cai01.18.05.Ph.D.2019.So.U A unified approach for uncertain multi-criteria decision making / |
Thesis (Ph.D.) - Cairo University - Faculty of Graduate Studies for Statistical Research - Department of Operations Research
This thesis uses a fuzzy numbers to improve risk measure for operational risk in banking sector. Firstly, to increase the accuracy of estimated operational loss in future period, we improved Loss Distribution Approach through using triangular fuzzy number to generate the random numbers, which represents the frequency and severity for operational risk instead of depending on the probability distribution. Secondly, to improve the estimated required capital to meet operational risk, the fuzzy number was used to introduce a fuzzy risk measure. This fuzzy risk measure can be used as an early warning indicator to operational risk and as an alternative the Value at Risk and Expected Shortfall
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