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العنوان
Heuristics for portfolio optimization models in emerging markets /
الناشر
Mai Adel Ibrahim ,
المؤلف
Mai Adel Ibrahim
هيئة الاعداد
باحث / Mai Adel Ibrahim
مشرف / Motaz Hosny Khorshid
مشرف / Mohammed Adelelbeltagy
مناقش / Tarek Hanafi Abou ElEnien
تاريخ النشر
2021
عدد الصفحات
121 Leaves :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
Information Systems and Management
تاريخ الإجازة
22/8/2021
مكان الإجازة
جامعة القاهرة - كلية الحاسبات و المعلومات - tOperations Research and Decision Supportr
الفهرس
Only 14 pages are availabe for public view

from 130

from 130

Abstract

Emerging markets have become an important part of global portfolio optimization almost four decades after the proposition of the Modern Portfolio Theory by Harry Markowitz. Markowitz model and its variants that include additional constraints and alternative risk measures have been applied on a wide number of developed markets.The optimization of the resultant problems for those variants have either been tackled by traditional methods or heuristics depending on the induced complexity of the search space. In the presence of insufficient literature on portfolio optimization topic in emerging markets, the proposed work will be concerned with building portfolio optimization models that suits Emerging Markets characteristics.The resultant portfolio model will incorporate the suitable distribution of returns together with the adequate risk measures and the necessary conditions. It will be applied to the Egyptian Stock Exchange Market and solved using the suitable Heuristics