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| 008 | 160703s2015 ua d f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aPh.D | ||
| 099 | _aCai01.18.05.Ph.D.2015.Ne.A | ||
| 100 | 0 | _aNisren Hassaneen Mohamed Hassaneen | |
| 245 | 1 | 3 |
_aAn artificial intelligence approach to optimal risk control / _cNisren Hassaneen Mohamed Hassaneen ; Supervised Hegazy M. Zaher , Naglaa R. Saeid |
| 246 | 1 | 5 | _aأسلوب الذكاء الأصطناعى لأفضلية التحكم للمخاطر |
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_aCairo : _bNisren Hassaneen Mohamed Hassaneen , _c2015 |
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_a131 Leaves : _bcharts ; _c30cm |
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| 502 | _aThesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Operations Research | ||
| 520 | _aThis thesis aimed at investigating the ability to control of risk introducing several proposed models using several control tools. Also a real case study is considered under the proposed models. Also it is shown how to control portfolio risk using several methods under fixed return. -This research considers several different models to optimal risk control of portfolios by minimizing risk under fixed return (MV, CVaR, MAD) and by fuzzy logic control, as well as the early warning system and control theory | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aControl Risk | |
| 653 | 4 | _aMeans Variance | |
| 653 | 4 | _aStock market | |
| 700 | 0 |
_aHegazy Mohamed Zaher , _eSupervisor |
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| 700 | 0 |
_aNaglaa Ragaa Saeid , _eSupervisor |
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