Investigating the Accuracy of Technical Analysis in Forecasting Stock Prices
| المصدر: | المجلة العلمية للاقتصاد والتجارة |
|---|---|
| الناشر: | جامعة عين شمس - كلية التجارة |
| المؤلف الرئيسي: | Abu Qamar, Dina S. (Author) |
| مؤلفين آخرين: | Ebeid, Said T. (Advisor), Abdelkader, Hossameldin (Advisor) |
| المجلد/العدد: | ع2 |
| محكمة: | نعم |
| الدولة: |
مصر |
| التاريخ الميلادي: |
2022
|
| الشهر: | يوليو |
| الصفحات: | 545 - 564 |
| ISSN: |
2636-2562 |
| رقم MD: | 1373106 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EcoLink |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Technical Analysis | Artificial Neural Networks Analysis | Stock Prices Prediction | Moving Averages | Relative Strength Index | Stochastic | Volume | Average Directional Movement Index | Dow Theory | Random Walk Theory
|
| رابط المحتوى: |
عدد مرات التحميل
2
| المستخلص: |
This paper examines the accuracy of technical analysis in forecasting stock prices by applying artificial neural networks analysis to technical analysis dataset. It has been done by investigating the predictive ability of eight technical analysis indicators: volume, EMA 50 days, %RSI, %K, %D, ADX, +DI, and –DI. The research data involve the daily closing prices for 29 companies listed on EGX30 in the Egyptian stock market over the period 2009-2018 to forecast stock prices in 2019. For statistical inference, the artificial neural networks analysis has been applied. The results of the study illustrate that the technical indicators can be used in predicting stock prices accurately particularly with the help of ANN analysis. The moving average is the best indicator to forecast the stock prices. Furthermore, %RSI is the second most important indicator, because its normalized importance is above (40%) for some companies. The ANN analysis can be applied to technical analysis dataset to enhance the accuracy the prediction. |
|---|---|
| ISSN: |
2636-2562 |
عناصر مشابهة
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Examining the Predictive Ability of Fundamental Analysis in Predicting Stock Prices
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Technical Analysis to Predict the Future Stock Prices : Case Study in Amman Stock Exchange
بواسطة: Al Rousan, Basheer منشور: (2006) -
Predicting Stock Prices Using Technical Analysis: Evidence from Amman Stock Exchange
بواسطة: القرعان، حلا محمد منشور: (2019) -
Application of Capital Asset Pricing Model in the Analysis of Australian Stock Market
بواسطة: Al Ghamdi, Samera Mohammed منشور: (2011) -
A Hybrid Approach Based on Business Intelligence Techniques and Technical analysis for Enhancing Stock Market Analysis
بواسطة: El Khameesy, Nashaat منشور: (2014)
