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Integration at a cost: Evidence from volatility impulse response functions

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  • E.Panopoulou

    (Department of Economics, National University of Ireland Maynooth and Department of Banking and Financial Management, University of Piraeus, Greece)

  • T. Pantelidis

    (Department of Banking and Financial Management, University of Piraeus, Greece.)

Abstract

We investigate the international information transmission between the U.S. and the rest of the G-7 countries using daily stock market return data covering the last 20 years. A pre-1995 and post- 1995 analysis reveals that the linkages between the markets have changed substantially in the more recent era, suggesting that national markets have become more interdependent. In the majority of the countries under scrutiny, we provide evidence of direct volatility spillovers, running mainly from the US and pointing to more rapid information transmission during the recent years. We further uncover the dynamics of the volatility spillovers between the international stock markets by means of a Volatility Impulse Response Analysis. Our findings, based on three historical shocks that have caused turbulence in the stock markets, suggest that the persistence of volatility shocks has increased substantially during the post-1995 period mainly due to increased persistence and interdependence in the volatility of all markets. As a result, volatility shocks in the international stock markets nowadays perpetuate for a significant longer period compared to the pre-1995 era.

Suggested Citation

  • E.Panopoulou & T. Pantelidis, 2005. "Integration at a cost: Evidence from volatility impulse response functions," Economics Department Working Paper Series n1540305, Department of Economics, National University of Ireland - Maynooth.
  • Handle: RePEc:may:mayecw:n1540305
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    4. David E. Allen & Michael McAleer & Robert Powell & Abhay K. Singh, 2017. "Volatility spillover and multivariate volatility impulse response analysis of GFC news events," Applied Economics, Taylor & Francis Journals, vol. 49(33), pages 3246-3262, July.
    5. Jin, Xiaoye & Xiaowen Lin, Sharon & Tamvakis, Michael, 2012. "Volatility transmission and volatility impulse response functions in crude oil markets," Energy Economics, Elsevier, vol. 34(6), pages 2125-2134.
    6. Aladesanmi, Olalekan & Casalin, Fabrizio & Metcalf, Hugh, 2019. "Stock market integration between the UK and the US: Evidence over eight decades," Global Finance Journal, Elsevier, vol. 41(C), pages 32-43.
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    9. Anthony N. Rezitis & Shaikh Mostak Ahammad, 2016. "Investigating The Interdependency Of Agricultural Production Volatility Spillovers Between Bangladesh, India, And Pakistan," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 28(1), pages 32-54, March.
    10. Eduardo Roca & Gurudeo Anand Tularam, 2012. "Which way does water flow? An econometric analysis of the global price integration of water stocks," Applied Economics, Taylor & Francis Journals, vol. 44(23), pages 2935-2944, August.
    11. Massimo Peri, 2017. "Climate variability and the volatility of global maize and soybean prices," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(4), pages 673-683, August.
    12. Jin, Xiaoye & An, Ximeng, 2016. "Global financial crisis and emerging stock market contagion: A volatility impulse response function approach," Research in International Business and Finance, Elsevier, vol. 36(C), pages 179-195.
    13. Assefa, Tsion & Meuwissen, Miranda & Lansink, Alfons G.J.M., 2015. "Food scares and price volatility: the case of German and Spanish pig chains," 2015 Conference, August 9-14, 2015, Milan, Italy 210966, International Association of Agricultural Economists.
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    Keywords

    volatility spillovers; volatility impulse response functions; stock market; ARCH-BEKK;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • 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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