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Volatility Spillovers across Global Asset Classes: Evidence from Time and Frequency Domains

Author

Listed:
  • Aviral Kumar Tiwari

    (Center for Energy and Sustainable Development (CESD), Montpellier Business School, Montpellier, France)

  • Juncal Cunado

    (University of Navarra, School of Economics, Edificio Amigos, Pamplona, Spain)

  • Rangan Gupta

    (Department of Economics, University of Pretoria, Pretoria, South Africa)

  • Mark E. Wohar

    (College of Business Administration, University of Nebraska at Omaha USA, and School of Business and Economics, Loughborough University)

Abstract

This paper analyzes the volatility spillovers across four global asset classes namely, stock, sovereign bonds, credit default swaps (CDS) and currency from September 2009 to September 2016, using both a time-domain and a frequency-domain framework. When the Diebold and Yilmaz (2012) methodology is applied, the estimated total connectedness index is 3.67%, suggesting a low level of connection among the four markets. Furthermore, the results show that the stock and CDS markets are net transmitters of volatility, while foreign exchange and bond markets are net receivers of the spillovers. When the Barunik and Krehlik (2017) frequency-domain analysis is carried out, the results indicate, first, that at higher frequencies, the degree of connectedness increases, and, second, that the stock market becomes the only net transmitter of volatility spillovers across the markets.

Suggested Citation

  • Aviral Kumar Tiwari & Juncal Cunado & Rangan Gupta & Mark E. Wohar, 2017. "Volatility Spillovers across Global Asset Classes: Evidence from Time and Frequency Domains," Working Papers 201780, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201780
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    More about this item

    Keywords

    Volatility Spillovers; Financial Markets;

    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
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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