Forecasting trade balance of Czech Republic and People´s
Republic of China in equalizing time series and considering
seasonal fluctuations

D 2020

Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations

VOCHOZKA, Marek and Zuzana ROWLAND

Basic information

Original name

Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations

Authors

VOCHOZKA, Marek (203 Czech Republic, guarantor, belonging to the institution) and Zuzana ROWLAND (203 Czech Republic, belonging to the institution)

Edition

73. vyd. Les Ulis, France, SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES), p. nestránkováno, 14 pp. 2020

Publisher

EDP Sciences

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

50200 5.2 Economics and Business

Country of publisher

France

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

URL

RIV identification code

RIV/75081431:_____/20:00002070

Organization unit

Institute of Technology and Business in České Budějovice

ISBN

978-2-7598-9094-1

UT WoS

000648964700032

Keywords in English

trade balance; Czech Republic; People´s Republic of China; time series; seasonal fluctuations

Abstract

V originále

Authors aim is to introduce a methodology for considering seasonal fluctuations in equalizing time series using artificial neural networks on the example of the Czech Republic and the People ́s Republic of China trade balance. The data available is the data on monthly balance for the period between January 2000 and July 2018, that is, 223 input data. The unit is Euro. The data for the analysis are available on the World Bank web pages etc. Regression analysis is carried out using artificial neural networks.

Files attached

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Citovat

VOCHOZKA, Marek and Zuzana ROWLAND. Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations. In Horák, J., Vrbka, J., Rowland, Z. SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES). 73rd ed. Les Ulis, France: EDP Sciences, 2020, p. nestránkováno, 14 pp. ISBN 978-2-7598-9094-1.

@inproceedings{58301,
   author = {Vochozka, Marek and Rowland, Zuzana},
   address = {Les Ulis, France},
   booktitle = {SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES)},
   edition = {73},
   editor = {Horák, J., Vrbka, J., Rowland, Z.},
   keywords = {trade balance; Czech Republic; People´s Republic of China; time series; seasonal fluctuations},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Les Ulis, France},
   isbn = {978-2-7598-9094-1},
   pages = {nestránkováno},
   publisher = {EDP Sciences},
   title = {Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations},
   url = {https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01032.pdf},
   year = {2020}
}

TY  - JOUR
ID  - 58301
AU  - Vochozka, Marek - Rowland, Zuzana
PY  - 2020
TI  - Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations
PB  - EDP Sciences
CY  - Les Ulis, France
SN  - 9782759890941
KW  - trade balance
KW  - Czech Republic
KW  - People´s Republic of China
KW  - time series
KW  - seasonal fluctuations
UR  - https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01032.pdf
N2  - Authors aim is to introduce a methodology for considering seasonal fluctuations in equalizing time series using artificial neural networks on the example of the Czech Republic and the People ́s Republic of China trade balance. The data available is the data on monthly balance for the period between January 2000 and July 2018, that is, 223 input data. The unit is Euro. The data for the analysis are available on the World Bank web pages etc. Regression analysis is carried out using artificial neural networks.
ER  -

VOCHOZKA, Marek and Zuzana ROWLAND. Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations. In Horák, J., Vrbka, J., Rowland, Z. \textit{SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES)}. 73rd ed. Les Ulis, France: EDP Sciences, 2020, p.~nestránkováno, 14 pp. ISBN~978-2-7598-9094-1.

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