Optimization of Decisions in the Local Stock Market According to Changes of Gulf Region Stock Market
Nisren Hassaneen Mohamed Hassaneen;
Abstract
Investment is the basic pillar of national economy. By improving the individuals and foundations' awareness of the information necessary to them concerning the investment opportunities, the investment decisions may be rationalized. To avoid investment decisions haphazardly made, these decisions must first go through a phase of analysis, then another phase of testing.
The stock market plays a major role in orienting the operations and decisions of investment. This thesis aimed at investigating the ability to predict the closing price of the general index stock market in Egyptian stock market based on the closing price of other Arab and international markets indices. Three studies were performed.
1. The first predict CASE 30 closing price based on a select number of GULF stock markets closing indices.
2. The second study was similar to the first one but focused on the bank sector only.
3. The third study focused on predicting CASE 30 closing based on
GULF and international markets closing prices. This thesis consists of five chapters organized as follows:
Chapter 1: This provides an introduction to investment and its impact on the national economy.
Chapter 2: This introduces technical analysis and technical indicators. Chapter 3: This discusses advance machine learning tools such as artificial neural networks, genetics algorithm, and a hybrid genetic based neural networks algorithm.
Chapter 4: This provides details on three studies as follows:
- Study 1 examines the impact of changes in the closing price in gulf markets on the Egyptian market closing price.
The stock market plays a major role in orienting the operations and decisions of investment. This thesis aimed at investigating the ability to predict the closing price of the general index stock market in Egyptian stock market based on the closing price of other Arab and international markets indices. Three studies were performed.
1. The first predict CASE 30 closing price based on a select number of GULF stock markets closing indices.
2. The second study was similar to the first one but focused on the bank sector only.
3. The third study focused on predicting CASE 30 closing based on
GULF and international markets closing prices. This thesis consists of five chapters organized as follows:
Chapter 1: This provides an introduction to investment and its impact on the national economy.
Chapter 2: This introduces technical analysis and technical indicators. Chapter 3: This discusses advance machine learning tools such as artificial neural networks, genetics algorithm, and a hybrid genetic based neural networks algorithm.
Chapter 4: This provides details on three studies as follows:
- Study 1 examines the impact of changes in the closing price in gulf markets on the Egyptian market closing price.
Other data
| Title | Optimization of Decisions in the Local Stock Market According to Changes of Gulf Region Stock Market | Other Titles | أمثلية القرارات فى سوق البورصة المحلى فى ظل تغيرات البورصات الخليجية | Authors | Nisren Hassaneen Mohamed Hassaneen | Issue Date | 2009 |
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