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Have volatility spillover effects of cointegrated European stock markets increased over time?

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  • Klaus Grobys

Abstract

In this study volatility spillover effects in preselected cointegrated European stock markets are investigated. The data generating processes are estimated by applying Vector-Auto Regression (VAR) models. Thereby, the impacts of volatility spillovers are measured by a new concept being denoted here as Volatility Impulse Response Density Functions (VIRDF) being an advancement of the Volatility Impulse Response Functions (VIRF) methodology. A sample-split analysis covering daily data from 26.11.1990-05.10.2000 and 06.10.2000-28.05.2010 reveals that the volatility spillover impact from the German stock market to the Swedish and British stock markets have increased by 73.87%, respectively, 15.52%.

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  • Klaus Grobys, 2010. "Have volatility spillover effects of cointegrated European stock markets increased over time?," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 2(2), pages 083-94, December.
  • Handle: RePEc:rfb:journl:v:02:y:2010:i:2:p:083-94
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    Cited by:

    1. K├╝bra Akca & Serda Selin Ozturk, 2016. "The Effect of 2008 Crisis on the Volatility Spillovers among Six Major Markets," International Review of Finance, International Review of Finance Ltd., vol. 16(1), pages 169-178, March.
    2. Klaus Grobys, 2011. "Are Different National Stock Markets Driven by the Same Stochastic Hidden Variable?," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 3(1), pages 021-030, June.

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