Integration between technical indicators and artificial neural networks for the prediction of the exchange rate: Evidence from emerging economies-Reference-Cited by-同舟云学术

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

Published:2023-09-15 Issue:2 Volume:11 Page:
ISSN:2332-2039
Container-title:Cogent Economics & Finance
language:en
Short-container-title:Cogent Economics & Finance

Author:

Wagdi Osama¹^ORCID,Salman Eman²,Albanna Hatem³

Affiliation:

1. Faculty of Management, Economics and Business Technology, Egyptian Russian University(ERU), Badr, Egypt

2. Faculty of Commerce and Business Administration, Helwan University, Helwan, Egypt

3. Faculty of Management Sciences, October University for Modern Sciences and Arts –MSA, Egypt

Publisher

Informa UK Limited

Subject

Economics and Econometrics,Finance

Link

https://www.tandfonline.com/doi/pdf/10.1080/23322039.2023.2255049

Reference51 articles.

1. Achelis, S. B. (2001). Technical Analysis from A to Z (2nd ed.). McGraw-Hill.

2. Real effective exchange rate volatility and growth: A framework to measure advantages of flexibility vs. costs of volatility

3. Financial Fragility and the Exchange Rate Regime

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