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Quantifying the risk of price fluctuations based on weighted Granger causality networks of consumer price indices: evidence from G7 countries

Author

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  • Qingru Sun

    (China University of Geosciences
    Ministry of Natural Resources)

  • Xiangyun Gao

    (China University of Geosciences
    Ministry of Natural Resources)

  • Ze Wang

    (China University of Geosciences
    Ministry of Natural Resources)

  • Siyao Liu

    (China University of Geosciences
    Ministry of Natural Resources)

  • Sui Guo

    (China University of Geosciences
    Ministry of Natural Resources)

  • Yang Li

    (China University of Geosciences
    Ministry of Natural Resources)

Abstract

The consumer price index (CPI) is the weighted average of a basket of subcategories (CPI classes) and is the most widely adopted indicator in analyzing the risk of inflation or deflation. However, CPI classes contain more risk information. The CPI classes and the transmission of price fluctuations among them form a price index system. By using the CPI classes of the G7 countries, we explored the evolution of the fluctuation–transmission relationships among CPI classes and constructed weighted Granger causality networks (WGCNs) for each country. We measured the price fluctuation risk of the price index system in the G7 countries by using system risk entropy and revealed the structure of the systems from four perspectives: out-degree, clustering coefficient, correlation degree between CPI classes and the survival ratio of the Granger causality. We found the following trends. (1) The system risk entropy changed over time. After the 2008 financial crisis, the price fluctuation risk in the price index system increased. (2) The identified CPI classes with large out-degrees are vital in monitoring the fluctuations of commodities prices. (3) The stability of the Granger causality among CPI classes decreased as the time span increased, and the structure of most WGCNs was completely different after 2 years.

Suggested Citation

  • Qingru Sun & Xiangyun Gao & Ze Wang & Siyao Liu & Sui Guo & Yang Li, 2020. "Quantifying the risk of price fluctuations based on weighted Granger causality networks of consumer price indices: evidence from G7 countries," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 821-844, October.
    • Handle: RePEc:spr:jeicoo:v:15:y:2020:i:4:d:10.1007_s11403-019-00273-2
    DOI: 10.1007/s11403-019-00273-2
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    2. Li, Yu & Gao, Xiangyun & An, Sufang & Zheng, Huiling & Wu, Tao, 2021. "Network approach to the dynamic transformation characteristics of the joint impacts of gold and oil on copper," Resources Policy, Elsevier, vol. 70(C).

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    More about this item

    Keywords

    Consumer price index; Granger causality; System risk entropy; Complex network;
    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
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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