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Conditional Autoregregressive Range (CARR) Based Volatility Spillover Index For the Eurozone Markets

Author

Listed:
  • Bayraci, Selcuk
  • Demiralay, Sercan

Abstract

: We examine the volatility spillovers among major Eurozone countries employing the Diebold and Yilmaz (2012) model with time-varying conditional ranges generated from conditional autoregressive range (CARR) model of Chou (2005). The empirical findings, based on a data set covering a fifteen year period (1998-2013), suggest a total volatility spillover index in a very high degree. 74.9% of total volatility in the Eurozone markets is attributed to spillover effects from other markets. Moreover, rolling window analysis shows that volatility spillover index is relatively higher during the turmoil periods.

Suggested Citation

  • Bayraci, Selcuk & Demiralay, Sercan, 2013. "Conditional Autoregregressive Range (CARR) Based Volatility Spillover Index For the Eurozone Markets," MPRA Paper 51909, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:51909
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    References listed on IDEAS

    as
    1. Li, Hongquan & Hong, Yongmiao, 2011. "Financial volatility forecasting with range-based autoregressive volatility model," Finance Research Letters, Elsevier, vol. 8(2), pages 69-76, June.
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    5. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
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    More about this item

    Keywords

    CARR; financial crisis; volatility spillover index; Eurozone;
    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
    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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