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Prediction of business cycle of Poland

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dc.title Prediction of business cycle of Poland en
dc.contributor.author Tkáčová, Andrea
dc.contributor.author Gavurová, Beáta
dc.contributor.author Kelemen, Katarína
dc.relation.ispartof Journal of International Studies
dc.identifier.issn 2071-8330 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn 2306-3483 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2022
utb.relation.volume 15
utb.relation.issue 3
dc.citation.spage 65
dc.citation.epage 81
dc.type article
dc.language.iso en
dc.publisher Centre of Sociological Research
dc.identifier.doi 10.14254/2071-8330.2022/15-3/5
dc.relation.uri https://www.jois.eu/?778,en_prediction-of-business-cycle-of-poland
dc.relation.uri https://www.jois.eu/files/5_1267_Tkacova%20et%20al.pdf
dc.subject business cycle en
dc.subject composite leading indicator (CLI) en
dc.subject crosscorrelation en
dc.subject GDP en
dc.subject prediction en
dc.description.abstract The paper is focused on the construction of a new composite indicator intended to predict the economic cycle of Poland and its comparison with the existing CLI used by international institutions such as OECD and Eurostat. In part, this research is also dedicated to monitoring the partial advance cyclical indicators that make up the CLI components and their changes over time. The paper explores 62 qualitative and quantitative economic indicators of Poland and their relationship to the development of monthly GDP at constant prices in three different time periods: 2005 to 2021, 2010 to 2021, and 2016 to 2021. A modified OECD method is used to select the cyclical component of time series using the Hodrick-Prescott filter and subsequently employ cross-correlation of the variables with the cyclical component of GDP. The constructed CLI can predict the evolution of the CLI one month ahead with a cross-correlation level of 0.879 under equal weights and 0.877 under different weights. Research has shown that there is no significant change in the composition of the CLI for the prediction of the economic cycle of Poland when using the established methodology. © 2022, Centre of Sociological Research. All rights reserved. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1011203
utb.identifier.obdid 43883659
utb.identifier.scopus 2-s2.0-85140470481
utb.source j-scopus
dc.date.accessioned 2022-11-29T07:49:18Z
dc.date.available 2022-11-29T07:49:18Z
dc.description.sponsorship Tomas Bata University in Zlin, TBU: RVO/2022
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Gavurová, Beáta
utb.fulltext.affiliation Andrea Tkacova Faculty of Economics, Technical University of Košice, Nemcovej 32, 040 01 Kosice, Slovak Republic andrea.tkacova@tuke.sk ORCID 0000-0003-0268-009X Beata Gavurova Faculty of Management and Economics, Tomas Bata University in Zlín, Mostní 5139, 760 00 Zlín, Czech Republic gavurova@utb.cz ORCID 0000-0002-0606-879X Katarina Kelemen Faculty of Economics, Technical University of Košice, Nemcovej 32, 040 01 Kosice, Slovak Republic katarina.kelemen@tuke.sk ORCID 0000-0003-3540-1093
utb.fulltext.dates Received: January, 2022 1st Revision: June, 2022 Accepted: September, 2022
utb.fulltext.sponsorship This research was supported by the Internal Grant Agency of FaME Tomas Bata University in Zlin: RVO/2022.
utb.scopus.affiliation Faculty of Economics, Technical University of Košice, Nemcovej 32, Kosice, 040 01, Slovakia; Faculty of Management and Economics, Tomas Bata University in Zlín, Mostní 5139, Zlín, 760 00, Czech Republic
utb.fulltext.projects RVO/2022
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.ou -
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Attribution 4.0 International Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution 4.0 International