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Inflation Co-Movement Dynamics: A Cross-Country Investigation Using a Continuous Wavelet Approach

Author

Listed:
  • Aviral Kumar Tiwari

    (Rajagiri Business School, Rajagiri Valley Campus Rajagiri College of Social Sciences, Kochi 682039, India)

  • Emmanuel Joel Aikins Abakah

    (School of Economics, University of Cape Coast, Cape Coast CC-075-8216, Ghana)

  • Luis A. Gil-Alana

    (Department of Econometrics and Quantitative Methods, School of Economics and Business Administration, University of Navarra, 31009 Pamplona, Spain)

  • Moses Kenneth Abakah

    (Economic and Risk Analysis Department, Central Securities Depository Ghana Limited, Accra 00233, Ghana)

Abstract

The economic literature provides evidence that inflation rates can co-move across nations because of a host of reasons, ranging from low frequency changes in monetary policy to similar high frequency shocks. Hence, this paper investigates inflation rate co-movements between nine (9) African countries and their bilateral linkages with five (5) developed economies using continuous wavelets at different time scales or frequencies. Specifically, we examine the coherency and the phase relationship in time-frequency space in inflation rates of the selected countries. Several findings are documented. First, inflation rates co-movements in the nine African countries are time varying, multi-scale, and characterized by structural breaks. In addition, we find that inflation co-movements across countries in the Africa sub-region is weak at low frequencies. Furthermore, we find evidence of inflation co-movement between Africa and developed economies, suggesting that central banks and policy-makers in Africa need to monitor international price developments, and analyze their implications for their domestic economies. Second, we find that inflation rates in the selected African countries explain, on average, almost 80% of their own inflation variance over the whole sample period. Spillover analysis reveals that China and Canada account for a greater percentage of inflation variation in Africa.

Suggested Citation

  • Aviral Kumar Tiwari & Emmanuel Joel Aikins Abakah & Luis A. Gil-Alana & Moses Kenneth Abakah, 2021. "Inflation Co-Movement Dynamics: A Cross-Country Investigation Using a Continuous Wavelet Approach," JRFM, MDPI, vol. 14(12), pages 1-43, December.
  • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:12:p:613-:d:705443
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    References listed on IDEAS

    as
    1. Tiwari, Aviral Kumar, 2013. "Oil prices and the macroeconomy reconsideration for Germany: Using continuous wavelet," Economic Modelling, Elsevier, vol. 30(C), pages 636-642.
    2. Yang, Jian & Guo, Hui & Wang, Zijun, 2006. "International transmission of inflation among G-7 countries: A data-determined VAR analysis," Journal of Banking & Finance, Elsevier, vol. 30(10), pages 2681-2700, October.
    3. Tommaso Monacelli & Luca Sala, 2009. "The International Dimension of Inflation: Evidence from Disaggregated Consumer Price Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(s1), pages 101-120, February.
    4. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    5. Tiwari, Aviral Kumar & Dar, Arif Billah & Bhanja, Niyati, 2013. "Oil price and exchange rates: A wavelet based analysis for India," Economic Modelling, Elsevier, vol. 31(C), pages 414-422.
    6. Sharif Md. Raihan & Yi Wen & Bing Zeng, 2005. "Wavelet: a new tool for business cycle analysis," Working Papers 2005-050, Federal Reserve Bank of St. Louis.
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