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Detail publikačního výsledku
MARŠÁLEK, R.; POMĚNKOVÁ, J.; KAPOUNEK, S.
Originální název
A wavelet-based approach to filter out symmetric macroeconomic shocks
Anglický název
Druh
Článek WoS
Originální abstrakt
We propose a novel method for econometric time series analysis. This method acts as the comovement-selective filter and is useful to filter out the cycles that are caused by an global event present in the reference time series. We demonstrate its applicability on removing symmetric macroeconomic shock caused by recent financial crisis from the business cycle of the euro area according to the comovement with the United States. The application allowing to identify the country specific business cycles in the Visegrad countries data using the comovement with Germany is also presented. The method is based on the continuous wavelet transform, its inverse and the comovement measurement in the time-frequency domain. Its application also enables to uncover detailed development of the business cycle synchronization in time.
Anglický abstrakt
Klíčová slova
wavelet transform, flters, comovement, macroeconomic shocks
Klíčová slova v angličtině
Autoři
Rok RIV
2015
Vydáno
01.12.2014
Nakladatel
Springer
Místo
New York, USA
ISSN
0927-7099
Periodikum
Computational Economics
Svazek
2014 (44)
Číslo
4
Stát
Nizozemsko
Strany od
477
Strany do
488
Strany počet
12
BibTex
@article{BUT102602, author="Roman {Maršálek} and Jitka {Dluhá} and Svatopluk {Kapounek}", title="A wavelet-based approach to filter out symmetric macroeconomic shocks", journal="Computational Economics", year="2014", volume="2014 (44)", number="4", pages="477--488", doi="10.1007/s10614-013-9403-x", issn="0927-7099" }