Forecasting the exchange rate of euro to dollar with the artificial neural network technique

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

sharif moghadam shafagh; Hashemi seyyed Zabihollah

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT) Year:2019 | Volume:9 | Issue:37 Page(s): 399-413

Download Full-Text

Persian Verion

View:

2,762

Download:

Cites:

Information Journal Paper

Title

Forecasting the exchange rate of euro to dollar with the artificial neural network technique

Author(s)

sharif moghadam shafagh | Hashemi seyyed Zabihollah | Issue Writer Certificate

Keywords

neural networkQ2

Exchange Rate ForecastQ1

Technical AnalysisQ1

Abstract

Exchange rate prediction is an important economic variable of interest to the economic actors. Technical approach is one of the commonly used approaches to forecasting, which uses the past behavior of the exchange rate for prediction. However, given the chaotic and non-linear structure of financial markets, the market forecasting cannot be done using a certain and simple method obtained by combining different technical tools and more sophisticated methods are required. In recent decades, neural networks have been employed as one of the most widely used methods in classification, pattern recognition and prediction of complex time series. In this research, a multilevel neural network model was provided to predict the euro-dollar exchange rate, which predicts the price on the next day with an appropriate accuracy by utilizing the data and variables derived from the Technical Analysis. The results demonstrated the proper function of this method versus other conventional methods of Technical Analysis and neural network.

Cites

No record.

References

No record.

Cite

APA: Copy

sharif moghadam, shafagh, & Hashemi, seyyed Zabihollah. (2019). Forecasting the exchange rate of euro to dollar with the artificial neural network technique. FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), 9(37 ), 399-413. SID. https://sid.ir/paper/197862/en

Vancouver: Copy

sharif moghadam shafagh, Hashemi seyyed Zabihollah. Forecasting the exchange rate of euro to dollar with the artificial neural network technique. FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT)[Internet]. 2019;9(37 ):399-413. Available from: https://sid.ir/paper/197862/en

IEEE: Copy

shafagh sharif moghadam, and seyyed Zabihollah Hashemi, “Forecasting the exchange rate of euro to dollar with the artificial neural network technique,” FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), vol. 9, no. 37 , pp. 399–413, 2019, [Online]. Available: https://sid.ir/paper/197862/en

Related Journal Papers