Equalizing Seasonal Time Series Using Artificial Neural Networks in Predicting the Euro–Yuan Exchange Rate

The exchange rate is one of the most monitored economic variables reflecting the state of the economy in the long run, while affecting it significantly in the short run. However, prediction of the exchange rate is very complicated. In this contribution, for the purposes of predicting the exchange ra...

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Bibliographic Details
Main Authors: Marek Vochozka, Jakub Horák, Petr Šuleř
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Journal of Risk and Financial Management
Subjects:
Online Access:https://www.mdpi.com/1911-8074/12/2/76