Considering seasonal fluctuations in equalizing time series by means of artificial neural networks for predicting development of USA and People´s Republic of China trade balance

Considering seasonal fluctuations in equalizing time series by means of artificial neural networks for predicting development of USA and People´s Republic of China trade balance

Balance of payments is an accounting identity of each country. The ability to make a qualified and accurate prediction of trade balance of huge world economies such as the USA and the People´s Republic of China economies can have influence on the world´s economy. An enormous expansion and advancemen...

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Bibliographic Details
Main Author: Jaromír Vrbka, Petr Šuleř, Veronika Machová, Jakub Horák
Format: Article
Language:English
Published: Institute of Technology and Business, České Budějovice 2020-01-01
Series:Littera Scripta
Subjects:
time series; artificial neural networks; trade balance; seasonal fluctuations; additional categorical variable; prediction. Volume: 12
Online Access:http://www.littera-scripta.com/considering-seasonal-fluctuations-in-equalizing-time-series-by-means-of-artificial-neural-networks-for-predicting-development-of-usa-and-peoples-republic-of-china-trade-balance/

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