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Optimized Segmentation-Adaptive-Based Testing of the Wavelet Co-movement Analysis: the Case of US and G8 Countries

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU129586" target="_blank" >RIV/00216305:26220/19:PU129586 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.itm-conferences.org/articles/itmconf/abs/2019/01/itmconf_amcse18_01003/itmconf_amcse18_01003.html" target="_blank" >https://www.itm-conferences.org/articles/itmconf/abs/2019/01/itmconf_amcse18_01003/itmconf_amcse18_01003.html</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1051/itmconf/20192401003" target="_blank" >10.1051/itmconf/20192401003</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimized Segmentation-Adaptive-Based Testing of the Wavelet Co-movement Analysis: the Case of US and G8 Countries

  • Original language description

    The paper deals with an identification and the description of the co-movement between the US and G8 countries with regard to the impact of the structural change, i.e. the financial crisis in 2008. For an identification of the co-movement we use optimized segmentation-adaptive-based approach (SAB) of significance testing of the power wavelet cross-spectrum. The SAB testing is based on the standard testing for the power wavelet cross-spectrum adapted for the case, when the data have several levels of volatility during the time evolution, i.e. the data can be split into several segments with different volatility. The number of segments is set with the help of heterosdasticity test and the test for comparison of variances in the segments of the time series. The SAB testing allows us an identification of significant co-movement with respect to the local variance, which can reveal additional significant co-movement areas. For the application we use monthly data of industrial production index for G8 countries in 1993–2017.

  • 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

    2019

  • 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

    7

  • Pages from-to

    1-7

  • Publisher name

    Neuveden

  • Place of publication

    Roma, Italy

  • Event location

    Roma

  • Event date

    Nov 22, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000473095100003