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Historical Volatility of Advanced Equity Markets: The Role of Local and Global Crises

Author

Listed:
  • Samrat Goswami

    (Department of Rural Studies, Tripura University, Suryamaninagar, Tripura, 799022, India.)

  • Rangan Gupta

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

  • Mark E. Wohar

    (College of Business Administration, University of Nebraska at Omaha, 6708 Pine Street, Omaha, NE 68182, USA, and School of Business and Economics, Loughborough University, Leicestershire, LE11 3TU, UK.)

Abstract

We use a nonparametric quantiles-based model to analyse the predictability of long-spans (nearly or over one century) of annual volatility of Canada, France, Germany, Italy, Japan, Switzerland, the United Kingdom (UK) and the United States (US), based on information contained in domestic (banking, currency, inflation, sovereign debt, and stock market) and global crises. We find that, in general, global crises tends to have a stronger causal impact on market volatility than domestic crises, but domestic stock market crashes also plays an important role in explaining equity market volatility of Germany, the UK and the US. Interestingly, extreme ends of the conditional distribution of market volatility cannot be predicted, irrespective of whether domestic or global crises are used as predictors.

Suggested Citation

  • Samrat Goswami & Rangan Gupta & Mark E. Wohar, 2019. "Historical Volatility of Advanced Equity Markets: The Role of Local and Global Crises," Working Papers 201931, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:201931
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    Cited by:

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    2. Gupta, Rangan & Nielsen, Joshua & Pierdzioch, Christian, 2024. "Stock market bubbles and the realized volatility of oil price returns," Energy Economics, Elsevier, vol. 132(C).
    3. Pierdomenico Duttilo & Stefano Antonio Gattone & Tonio Di Battista, 2021. "Volatility Modeling: An Overview of Equity Markets in the Euro Area during COVID-19 Pandemic," Mathematics, MDPI, vol. 9(11), pages 1-18, May.

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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