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Volatility Spillover and Multivariate Volatility Impulse Response Analysis of GFC News Events

Author

Listed:
  • David E. Allen

    (University of Sidney, University of South Australia, Australia)

  • Michael McAleer

    (National Tsing Hua University Taiwan; Erasmus School of Economics Erasmus University Rotterdam, The Netherlands; Yokohama National University, Japan)

  • Robert Powell

    (Edith Cowan University, Perth, Australia)

  • Abhay K. Singh

    (Edith Cowan University, Perth, Australia)

Abstract

This paper applies two measures to assess spillovers across markets: the Diebold Yilmaz (2012) Spillover Index and the Hafner and Herwartz (2006) analysis of multivariate GARCH models using volatility impulse response analysis. We use two sets of data, daily realized volatility estimates taken from the Oxford Man RV library, running from the beginning of 2000 to October 2016, for the S&P500 and the FTSE, plus ten years of daily returns series for the New York Stock Exchange Index and the FTSE 100 index, from 3 January 2005 to 31 January 2015. Both data sets capture both the Global Financial Crisis (GFC) and the subsequent European Sovereign Debt Crisis (ESDC). The spillover index captures the transmission of volatility to and from markets, plus net spillovers. The key difference between the measures is that the spillover index captures an average of spillovers over a period, whilst volatility impulse responses (VIRF) have to be calibrated to conditional volatility estimated at a particular point in time. The VIRF provide information about the impact of independent shocks on volatility. In the latter analysis, we explore the impact of three different shocks, the onset of the GFC, which we date as 9 August 2007 (GFC1). It took a year for the financial crisis to come to a head, but it did so on 15 September 2008, (GFC2). The third shock is 9 May 2010. Our modelling includes leverage and asymmetric effects undertaken in the context of a multivariate GARCH model, which are then analysed using both BEKK and diagonal BEKK (DBEKK) models. A key result is that the impact of negative shocks is larger, in terms of the effects on variances and covariances, but shorter in duration, in this case a difference between three and six months

Suggested Citation

  • David E. Allen & Michael McAleer & Robert Powell & Abhay K. Singh, 2016. "Volatility Spillover and Multivariate Volatility Impulse Response Analysis of GFC News Events," Tinbergen Institute Discussion Papers 16-084/III, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20160084
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    References listed on IDEAS

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    More about this item

    Keywords

    Spillover Index; Volatility Impulse Response Functions (VIRF); BEKK; DBEKK; Asymmetry; GFC; ESDC;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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