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Spillover of sentiment in the European Union: Evidence from time- and frequency-domains

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  • Plakandaras, Vasilios
  • Tiwari, Aviral Kumar
  • Gupta, Rangan
  • Ji, Qiang

Abstract

The issue of economic integration of the economies consisting the European Union across its various leaps of expansion throughout the years has been brought back to light during the recent sovereign crisis of the southern economies of the Union, that lead to the necessity of large bailout programs. In this paper we depart from the typical approach in the field and examine economic synchronization through the lenses of economic sentiment spillovers based on the economic confidence index for 14 European economies. In doing so, we analyze sentiment spillovers both in time- and in the frequency-domains in order to reveal the dissemination of the perception of economic agents about the future economic climate throughout the EU. Our empirical findings support the segregation of the Union in the core European countries and the southern economies and highlight the role of the Germany as the dominant economy setting the pace for the Union after 2008. Interestingly, large economies as Netherlands and Austria appear to be neutral, not because of an isolation from the region, but due to changing roles in transmitting and accepting expectations about the economic environment.

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  • Plakandaras, Vasilios & Tiwari, Aviral Kumar & Gupta, Rangan & Ji, Qiang, 2020. "Spillover of sentiment in the European Union: Evidence from time- and frequency-domains," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 105-130.
  • Handle: RePEc:eee:reveco:v:68:y:2020:i:c:p:105-130
    DOI: 10.1016/j.iref.2020.03.014
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    2. Mbarki, Imen & Omri, Abdelwahed & Naeem, Muhammad Abubakr, 2022. "From sentiment to systemic risk: Information transmission in Asia-Pacific stock markets," Research in International Business and Finance, Elsevier, vol. 63(C).
    3. Zhang, Hongwei & Hong, Huojun & Guo, Yaoqi & Yang, Cai, 2022. "Information spillover effects from media coverage to the crude oil, gold, and Bitcoin markets during the COVID-19 pandemic: Evidence from the time and frequency domains," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 267-285.
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    More about this item

    Keywords

    Sentiment; Spillover; Time- and frequency-domains; European Union;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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