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News and correlations of CEEC-3 financial markets

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  • Büttner, David
  • Hayo, Bernd

Abstract

We employ DCC-MGARCH models to investigate conditional correlations between six CEEC-3 financial markets. In general, the highest correlations exist between Hungary and Poland in foreign exchange and stock markets. Short-term money markets are somewhat isolated from each other. We find that the associations of CEEC-3 exchange rates versus euro are weaker than those versus the US dollar. The persistence of the effect of shocks on the time-varying correlations is strongest for foreign exchange and stock markets, indicating a tendency toward contagion. In searching for the origins of financial market volatility in the CEEC-3, we uncover some evidence of Granger-causality on the foreign exchange markets. Finally, using a pool model, we investigate the impact of euro area, US, and CEEC-3 news on the correlations. Apart from ECB monetary policy news, we observe no broad effects of international news on correlations; instead, local news exerts an influence, which suggests a dominance of country- or market-specific circumstances.

Suggested Citation

  • Büttner, David & Hayo, Bernd, 2010. "News and correlations of CEEC-3 financial markets," Economic Modelling, Elsevier, vol. 27(5), pages 915-922, September.
  • Handle: RePEc:eee:ecmode:v:27:y:2010:i:5:p:915-922
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    Cited by:

    1. Reboredo, Juan C. & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu, 2015. "An analysis of dependence between Central and Eastern European stock markets," Economic Systems, Elsevier, vol. 39(3), pages 474-490.
    2. Apergis, Nicholas, 2015. "Newswire messages and sovereign credit ratings: Evidence from European countries under austerity reform programmes," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 54-62.
    3. Narcisa Kadlcakova & Lubos Komarek & Zlatuse Komarkova & Michal Hlavacek, 2016. "Identification of Asset Price Misalignments on Financial Markets With Extreme Value Theory," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(11), pages 2595-2609, November.
    4. repec:gam:jsusta:v:10:y:2018:i:2:p:324-:d:128911 is not listed on IDEAS
    5. Kliber, Agata & Płuciennik, Piotr, 2017. "Euro or not? Vulnerability of Czech and Slovak economies to regional and international turmoil," Economic Modelling, Elsevier, vol. 60(C), pages 313-323.
    6. Joanna Olbrys & Elzbieta Majewska, 2014. "Implications of market frictions: serial correlations in indexes on the emerging stock markets in Central and Eastern Europe," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 1, pages 51-70.
    7. Dua, Pami & Tuteja, Divya, 2016. "Financial crises and dynamic linkages across international stock and currency markets," Economic Modelling, Elsevier, vol. 59(C), pages 249-261.
    8. Narayan, Paresh Kumar & Bannigidadmath, Deepa, 2017. "Does Financial News Predict Stock Returns? New Evidence from Islamic and Non-Islamic Stocks," Pacific-Basin Finance Journal, Elsevier, vol. 42(C), pages 24-45.

    More about this item

    Keywords

    Financial markets Czech Republic Hungary Poland Political news Macroeconomic shocks Contagion DCC-MGARCH;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • F30 - International Economics - - International Finance - - - General

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