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Business cycles synchronization within the EU countries: the spectral analysis


Tomić, Daniel; Stjepanović, Saša
Business cycles synchronization within the EU countries: the spectral analysis // Economic and Social Development / Yongqiang, Li ; Hunjet, Anica ; Rončević, Ante (ur.).
Varaždin: Varazdin Development and Entrepreneurship Agency, Varazdin, Croatia ; City of Prague ; Faculty of Management University of Warsaw, Warsaw, Poland ; University North, Koprivnica, Croatia, 2017. str. 290-301 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Business cycles synchronization within the EU countries: the spectral analysis

Autori
Tomić, Daniel ; Stjepanović, Saša

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Economic and Social Development / Yongqiang, Li ; Hunjet, Anica ; Rončević, Ante - Varaždin : Varazdin Development and Entrepreneurship Agency, Varazdin, Croatia ; City of Prague ; Faculty of Management University of Warsaw, Warsaw, Poland ; University North, Koprivnica, Croatia, 2017, 290-301

ISBN
9-771843-753006

Skup
Economic and Social Development, 20th International Scientific Conference on Economic and Social Development

Mjesto i datum
Prague, Czech Republic, 27-28.04.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Advanced time series analysis, economic cycles, spectral analysis, synchronization, EU

Sažetak
The nature of the business cycle is one of the widely discussed topics in economic science. The very existence of business cycles is quite controversial. When we add the problem of economic performance to the issue of synchronization between different sets of countries, we come to the subject of our study. In this paper, we deal with the existence as well as the synchronization of business cycles. The synchronization is studied using the spectral analysis. The spectral analysis explores the cyclical patterns of data, and its main purpose is to decompose original series into an infinite sum of periodic functions, each of which has a different frequency. The advantage and uniqueness of spectral analysis are that it enables the identification and characterization of nonlinear trends and the dominant cycle, including perennial and seasonal components which characterize each time series. The aim of this paper is to determine the existence of the business cycle and evaluate the synchronization process within the EU member states. By studying the data on the gross domestic product and related macroeconomic variables for the EU countries, we offer some conclusions on the nature of business cycle synchronization, cyclical regularities, and macroeconomic interdependence.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija

Napomena
This work has been fully supported by the Croatian Science Foundation under the project number 9481 Modelling Economic Growth - Advanced Sequencing and Forecasting Algorithm. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of Croatian Science Foundation.



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2013-11-9481 - Modeliranje ekonomskog rasta - napredno sekvenciranje i algoritam predviđanja (Marinko Škare, )

Ustanove
Sveučilište Jurja Dobrile u Puli