Detail publikačního výsledku

Co-movement Selective Detection Filter to identify time series co-movement indicator or to filter out symmetric economic shocks

POMĚNKOVÁ, J.; KLEJMOVÁ, E.

Originální název

Co-movement Selective Detection Filter to identify time series co-movement indicator or to filter out symmetric economic shocks

Anglický název

Co-movement Selective Detection Filter to identify time series co-movement indicator or to filter out symmetric economic shocks

Druh

Článek WoS

Originální abstrakt

The paper deals with designing a~mask suitable for a~selective filtering of data. The design of the mask is performed in the time-frequency domain and the selection is based on the co-movement measure of time series. We propose two approaches for the mask construction: i) hard thresholding based on chi-square testing; ii) adaptive based thresholding. The proposed mask can be used for time series filtering in which we obtain either the adjusted time series or the construction of the time series containing only the co-moved parts. Further, after computing an~inverse transform we can obtain time series with/without the co-moved area applicable for consequent econometric analyses. The paper provides recommendations concerning the selection of a~particular approach in a~given situation. The proposed methodology is demonstrated on the adjustment of industrial production index of Euro Area and selected G8 countries about co-movement with the US.

Anglický abstrakt

The paper deals with designing a~mask suitable for a~selective filtering of data. The design of the mask is performed in the time-frequency domain and the selection is based on the co-movement measure of time series. We propose two approaches for the mask construction: i) hard thresholding based on chi-square testing; ii) adaptive based thresholding. The proposed mask can be used for time series filtering in which we obtain either the adjusted time series or the construction of the time series containing only the co-moved parts. Further, after computing an~inverse transform we can obtain time series with/without the co-moved area applicable for consequent econometric analyses. The paper provides recommendations concerning the selection of a~particular approach in a~given situation. The proposed methodology is demonstrated on the adjustment of industrial production index of Euro Area and selected G8 countries about co-movement with the US.

Klíčová slova

masking, MC simulation, wavelet transform, macroeconomic shocks

Klíčová slova v angličtině

masking, MC simulation, wavelet transform, macroeconomic shocks

Autoři

POMĚNKOVÁ, J.; KLEJMOVÁ, E.

Rok RIV

2021

Vydáno

07.04.2021

Nakladatel

ACADEMIC PRESS INC ELSEVIER SCIENCE

Místo

SAN DIEGO, CA 92101-4495 USA

ISSN

1051-2004

Periodikum

DIGITAL SIGNAL PROCESSING

Svazek

114

Číslo

X

Stát

Spojené státy americké

Strany od

1

Strany do

14

Strany počet

14

URL

https://reader.elsevier.com/reader/sd/pii/S1051200421000725?token=12406A0D9AEC5A357EA6F28A27F2A5464902DC9D93C45C126D7CD74FD73CC291FEC1AB8179A7D05D9672A858D2E994F9&originRegion=eu-west-1&originCreation=20210408061344

BibTex

@article{BUT171093,
  author="Jitka {Dluhá} and Eva {Klejmová}",
  title="Co-movement Selective Detection Filter to identify time series co-movement indicator or to filter out symmetric economic shocks",
  journal="DIGITAL SIGNAL PROCESSING",
  year="2021",
  volume="114",
  number="X",
  pages="1--14",
  doi="10.1016/j.dsp.2021.103033",
  issn="1051-2004",
  url="https://reader.elsevier.com/reader/sd/pii/S1051200421000725?token=12406A0D9AEC5A357EA6F28A27F2A5464902DC9D93C45C126D7CD74FD73CC291FEC1AB8179A7D05D9672A858D2E994F9&originRegion=eu-west-1&originCreation=20210408061344"
}