دورية أكاديمية

Integration between technical indicators and artificial neural networks for the prediction of the exchange rate: Evidence from emerging economies

التفاصيل البيبلوغرافية
العنوان: Integration between technical indicators and artificial neural networks for the prediction of the exchange rate: Evidence from emerging economies
المؤلفون: Osama Wagdi, Eman Salman, Hatem Albanna
المصدر: Cogent Economics & Finance, Vol 11, Iss 2 (2023)
بيانات النشر: Taylor & Francis Group, 2023.
سنة النشر: 2023
المجموعة: LCC:Finance
LCC:Economic theory. Demography
مصطلحات موضوعية: technical analysis indicators, foreign exchange rates, Artificial neural networks, ANN, F31, Finance, HG1-9999, Economic theory. Demography, HB1-3840
الوصف: AbstractThe study investigated the effectiveness of technical analysis indicators in trading spot exchange rates of emerging economies’ currencies under integration with artificial neural networks (ANN) and the quantitative testing of these indicators’ success in this matter with the goal of rationalizing decisions. The study period was from January 2012 to November 2022 for twenty-four currencies against the US dollar. Based on four technical indicators: the simple moving average (SMA), momentum, moving average convergence divergence (MACD), and relative strength index (RSI), with a total of 131 months. Of them, 51 months are for ANN construction (supervised learning), while 80 months are for hypothesis testing. The study used cross-sectional analysis and hierarchical multiple regression in addition to the Wilcoxon signed ranks test and Kruskal–Wallis test. The study found a significant improvement in the values predicted for exchange rates for emerging economies by artificial neural networks versus the values predicted by technical indicators alone. Finally, the study found a significant difference of gap between the values predicted for exchange rates for emerging economies by artificial neural networks and the actual values based on currency. It is possible to study the interpretation of this result according to the difference in each of the exchange rate regimes in emerging economies, in addition to the difference in structural imbalances between those economies.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 23322039
2332-2039
Relation: https://doaj.org/toc/2332-2039
DOI: 10.1080/23322039.2023.2255049
URL الوصول: https://doaj.org/article/1ff39ffd6ec04de6b318771a714486fa
رقم الأكسشن: edsdoj.1ff39ffd6ec04de6b318771a714486fa
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23322039
DOI:10.1080/23322039.2023.2255049