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COVID-19 related media sentiment and the yield curve of G-7 economies

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  • Aharon, David Y.
  • Umar, Zaghum
  • Aziz, Mukhriz Izraf Azman
  • Vo, Xuan vinh

Abstract

We explore the connectedness of the components of the sovereign yield curve (slope, level and curvature) across G-7 countries and media sentiment about COVID-19. The recent pandemic is a unique opportunity to identifying the transmitters and receivers of risk. Our results indicate that media sentiment along with the US yield curve components are main transmitter of spillovers, whereas Japan is the leading recipient of spillover. Among the European countries, we notice France as a major transmit, whereas Germany and UK switch role as transmitter and receiver alternatively. The results are important for mapping the interconnectedness between countries. In addition, policy makers can use them when devising disaster plans to prepare for future market crises.

Suggested Citation

  • Aharon, David Y. & Umar, Zaghum & Aziz, Mukhriz Izraf Azman & Vo, Xuan vinh, 2022. "COVID-19 related media sentiment and the yield curve of G-7 economies," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
  • Handle: RePEc:eee:ecofin:v:61:y:2022:i:c:s106294082200033x
    DOI: 10.1016/j.najef.2022.101678
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    Cited by:

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    More about this item

    Keywords

    COVID-19; Coronavirus; Connectedness; Yield curve; Sovereign debt; G7; TVP-VAR; Contagion;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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