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2248729 |
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|a eng
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044 |
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|b مصر
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100 |
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|a El-Mahdy, Adel
|e Author
|9 799186
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245 |
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|a Predicting the Exchange Rate of the Egyptian Pound Using Neural Networks
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260 |
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|b جامعة حلوان - كلية التجارة وإدارة الاعمال
|c 2022
|g ديسمبر
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300 |
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|a 125 - 151
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336 |
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|a بحوث ومقالات
|b Article
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520 |
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|b The analysis of the volatility in the exchange rate has long been a vital challenges and important topic in international finance. Because it is influenced by many factors and forces, while linear models are not able to capture nonlinear techniques and methods have been evolved in the last few decades for exchange rate prediction to overcome the limitations of the linear methods as well as the development of artificial intelligence, which has led to the development of alternative solutions utilizing non-linear modelling. This paper aims to use Artificial Neural Networks (ANN) to predict the value of the Egyptian pound in terms of US dollars, by depending on fundamental economic variables. The study concluded that the mean absolute percentage error (MAPE) is 2.8%. This result indicates that neural networks is accurate by 97.2% in forecasting exchange rate depends on the macroeconomic variables.
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653 |
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|a السياسات النقدية
|a أسعار الصرف
|a التمويل الدولي
|a النماذج الخطية
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692 |
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|b Exchange Rate
|b Forecasting
|b Egyptian Pound
|b Artificial Neural Networks
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700 |
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|9 799190
|a Saker, Omar
|e Co-Author
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700 |
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|9 799195
|a El-Shafei, Ahmed Salah
|e Co-Author
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773 |
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|4 الاقتصاد
|4 إدارة الأعمال
|6 Economics
|6 Business
|c 006
|e Scientific Journal of Research and Business Studies
|f Al-Maǧallaẗ Al-Miṣriyyaẗ Lil Dirāsāt Al-Tiǧāriyyaẗ
|l 004
|m مج36, ع4
|o 0472
|s المجلة العلمية للبحوث والدراسات التجارية
|v 036
|x 1110-2373
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856 |
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|u 0472-036-004-006.pdf
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930 |
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|d y
|p y
|q n
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|a EcoLink
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|c 1505145
|d 1505145
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