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Wavelet Co-movement Significance Testing with Respect to Gaussian White Noise Background

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU124855" target="_blank" >RIV/00216305:26220/18:PU124855 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.itm-conferences.org/articles/itmconf/abs/2018/01/contents/contents.html" target="_blank" >https://www.itm-conferences.org/articles/itmconf/abs/2018/01/contents/contents.html</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1051/itmconf/20181601002" target="_blank" >10.1051/itmconf/20181601002</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Wavelet Co-movement Significance Testing with Respect to Gaussian White Noise Background

  • Original language description

    The paper deals with significance testing of time series co-movement measured via time-frequency approach. We use the wavelet analysis for estimation of the co/cross-spectra for the co-movement analysis. This technique is very popular in the most of economic applications for its better time resolution compare to other techniques. Such approach put in evidence the existence of both long-run and short-run co-movement. In order to have better predictive power it is suitable to support and validate obtained results via some testing approach. We investigate the test of wavelet power co/cross-spectrum with respect to the Gaussian white noise background with the use of the Bessel function. Our experiment is performed on synthetic signal and real data. We use seasonally adjusted quarterly data of gross domestic product of the United Kingdom, Korea and G7 countries. To validate the test results we perform Monte Carlo simulation. We describe the advantages and disadvantages of both approaches and formulate recommendations for using time-frequency testing for wavelet co/cross-spectra.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    ITM Web of Conferences

  • ISBN

  • ISSN

    2271-2097

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1-5

  • Publisher name

    Helenic Military Academy

  • Place of publication

    Athens, Greece

  • Event location

    Atény

  • Event date

    Oct 6, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article