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Global Commodity Prices and Global Stock Volatility Shocks

Author

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  • Vespignani, Joaquin
  • Kang, Wensheng
  • Ratti, Ronald

Abstract

This paper investigates the time-varying dynamics of global stock volatility, commodity prices, and domestic output and consumer prices. The main empirical findings of this paper are: (i) stock volatility and commodity price shocks impact each other and the economy in a gradual and endogenous adjustment process; (ii) the impact of a commodity price shock on global stock volatility is far greater during the global financial crisis than at other times; (iii) the effects of global stock volatility on the US output are amplified by the endogenous commodity price responses; (iv) in the long run, shocks to commodity prices (stock market volatility) account for 11.9% (6.6%) and 25.1% (11.6%) of the variation in US output and consumer prices; (v) the effects of global stock volatility shocks on the economy are heterogeneous across nations and relatively larger in the developed countries; (vi) developing/small economies are relatively more vulnerable upon commodity price shocks.

Suggested Citation

  • Vespignani, Joaquin & Kang, Wensheng & Ratti, Ronald, 2018. "Global Commodity Prices and Global Stock Volatility Shocks," MPRA Paper 84250, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:84250
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    References listed on IDEAS

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    1. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2019. "The impact of economic policy uncertainty and commodity prices on CARB country stock market volatility," MPRA Paper 96577, University Library of Munich, Germany.

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    More about this item

    Keywords

    Global commodity prices; Global stock volatility; Output; Heterogeneity;
    All these keywords.

    JEL classification:

    • E0 - Macroeconomics and Monetary Economics - - General
    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

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