The Influence of the International Price of Oil on the Value of the EUR/USD Exchange Rate
Marek Vochozka, Zuzana Rowland, Petr Suler, Josef Marousek
Klíčová slova
oil price, exchange rate, artificial neural networks, time series, competitiveness
Abstrakt:
A great number of researchers argue that the development of large swathes of the global economy
and competitiveness are influenced by fluctuations in international oil prices. The aim of
this article is to determine to what extent those fluctuations in oil prices influence the value of
the Euro relative to the value of USD. Data on the EUR/USD exchange rate were used for the
analysis, with the time series that follow based on the price of Brent Crude. Statistica software
(version 13) was used for the data processing. The research was based on a unified procedure
with gradual changes in one parameter, namely in the time series (1, 5, 10 and 30 days), following
which a regression analysis using neural networks was performed based on 10,000 networks
that were generated for each experimental combination. As a result, eight calculations and eight
different outcomes were obtained. From each experiment, the 5 artificial neural networks that
showed the best results were retained. The outcomes suggest that the EUR/USD exchange rate
is strongly dependent on the international price of oil. The impact of fluctuations in the price of
oil on the EUR/USD exchange rate can therefore be accurately predicted. These results imply
that it is also possible to predict the impact of such fluctuations on the performance of national
economies. These predictions can be used to enhance competitiveness, including that of companies
actively operating in international markets.
Celý článek ke stažení:
The Influence of the International Price of Oil on the Value of the EUR/USD Exchange Rate [PDF soubor] [Velikost souboru: 1.46 MB]
10.7441/joc.2020.02.10
Vochozka, M., Rowland, Z., Suler, P., & Marousek, J. (2020). The Influence of the International Price
of Oil on the Value of the EUR/USD Exchange Rate. Journal of Competitiveness, 12(2), 167–190. https://doi.org/10.7441/joc.2020.02.10
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