Vol 6, No 2 (2018)
Forecasting Exchange Rate Between Macedonian Denar and Euro Using Deep Learning
Aleksandar Dodevski, Natasa Koceska, Saso Koceski
Abstract
Modelling and forecasting foreign exchange rate fluctuations represents a big challenge in today’s global economy. The main objective of this research is to explore the capacity of deep learning approach for forecasting changes in exchange rates of Macedonian Denar against Euro. The model developed has been empirically validated over a publicly available dataset collected from the web site of the National Bank of the Republic of Macedonia. Obtained results show good correspondence between real and forecasted data. This implies that deep learning can be potentially useful method for forecasting the Euro vs Denar exchange rate fluctuations.
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Keywords
Exchange rate, Forecasting, Macro economy, Modeling, Neural Networks, LSTM, Deep learning.
Publication information
Volume 6, Issue 2
Year of Publication: 2018
ISSN: 1857 - 8721
Publisher: EDNOTERA
How to cite
Dodevski, A., Koceska, N., Koceski, S.: A Forecasting Exchange Rate Between Macedonian Denar and Euro Using Deep Learning. Journal of Applied Economics and Business, Vol 6, No. 2, 50-61. (2018)