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Analysis of output and output volatility connectedness of Nigeria, USA, China and India: new empirical insights from the global financial crisis versus 2016 Nigerian recession

Author

Listed:
  • Onyinye Imelda Anthony-Orji
  • Ikenna Paulinus Nwodo
  • Anthony Orji
  • Jonathan E. Ogbuabor

Abstract

Purpose - This paper aims to examine Nigeria’s dynamic output and output volatility connectedness with USA, China and India using quarterly data from 1981Q1 to 2019Q4. Design/methodology/approach - The study adopted the network approach of Diebold and Yilmaz (2014) and used the normalized generalized forecast error variance decomposition from an underlying vector error correction model to build connectedness measures. Findings - The findings show that the global financial crisis (GFC) increased the connectedness index far more than the 2016 Nigeria economic recession. The moderate effect of the 2016 Nigeria economic recession on the connectedness index underscores the fact that Nigeria is a small, open economy with minimal capacity to spread output shock. For both real output and its volatility, the total connectedness index rose smoothly and systematically through time, thereby leaving the economies more connected in the long run. Originality/value - To the best of the authors’ knowledge, this paper is among the first to examine Nigeria’s dynamic output and output volatility connectedness with the USA, China and India using new empirical insights from the GFC versus 2016 Nigerian recession. The study, therefore, concludes that the Nigerian economy should be diversified immediately as a hedge against future real output shocks, while the USA, China and India should maintain and sustain their current policy frameworks to remain less vulnerable to real output shocks.

Suggested Citation

  • Onyinye Imelda Anthony-Orji & Ikenna Paulinus Nwodo & Anthony Orji & Jonathan E. Ogbuabor, 2023. "Analysis of output and output volatility connectedness of Nigeria, USA, China and India: new empirical insights from the global financial crisis versus 2016 Nigerian recession," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 16(1), pages 34-59, November.
  • Handle: RePEc:eme:jfeppp:jfep-04-2023-0090
    DOI: 10.1108/JFEP-04-2023-0090
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    More about this item

    Keywords

    Connectedness; Output volatility; Global financial crisis; Economic recession; VAR model; C32; E32; F36; F43;
    All these keywords.

    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies

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