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Global economic uncertainty and the Chinese stock market: Assessing the impacts of global indicators

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  • Zhang, Lixia
  • Bai, Jiancheng
  • Zhang, Yueyan
  • Cui, Can

Abstract

We comparatively assess the influence of global economic uncertainty measures on Chinese stock market volatility. Using a model based on generalized autoregressive conditional heteroskedasticity and mixed-data sampling, the results show that the global economic policy uncertainty index, the geopolitical risk index, and the global economic condition index all significantly influence the long-term volatility of China’s equity market. We highlight which of these measures has the most explanatory power under differing contexts. As uncertainty measures have wide applicability, investors, policymakers, and academicians will be quite interested in our results.

Suggested Citation

  • Zhang, Lixia & Bai, Jiancheng & Zhang, Yueyan & Cui, Can, 2023. "Global economic uncertainty and the Chinese stock market: Assessing the impacts of global indicators," Research in International Business and Finance, Elsevier, vol. 65(C).
  • Handle: RePEc:eee:riibaf:v:65:y:2023:i:c:s0275531923000752
    DOI: 10.1016/j.ribaf.2023.101949
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    More about this item

    Keywords

    World economic situation; Global economic condition (GECON) index; Stock market volatility; Generalized autoregressive conditional heteroskedasticity (GARCH)–mixed-data sampling (MIDAS) modeling;
    All these keywords.

    JEL classification:

    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • F65 - International Economics - - Economic Impacts of Globalization - - - Finance
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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