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The return and volatility nexus among stock market and macroeconomic fundamentals for China

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  • Abbas, Ghulam
  • Bashir, Usman
  • Wang, Shouyang
  • Zebende, Gilney Figueira
  • Ishfaq, Muhammad

Abstract

This study examines the relationship between the returns and the volatilities of the stock market and macroeconomic fundamentals by using monthly data ranging from 1995:M7 to 2015: M6. For this purpose, we employ the Diebold and Yilmaz (2012) spillover index approach under the generalized VAR framework. The empirical results of total spillover index indicate no significant differences in the return and volatility connectedness between stock market and macroeconomic variables for China. The directional return and volatility spillover impact is comparatively stronger from stock market to the macroeconomic variables. The return and volatility spillovers in either direction, changed significantly after the global financial crisis of 2008. The findings of this study provide useful insights for investors and policy makers concerned with the return and volatility nexus between stock market and macroeconomic variables for China.

Suggested Citation

  • Abbas, Ghulam & Bashir, Usman & Wang, Shouyang & Zebende, Gilney Figueira & Ishfaq, Muhammad, 2019. "The return and volatility nexus among stock market and macroeconomic fundamentals for China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    • Handle: RePEc:eee:phsmap:v:526:y:2019:i:c:s0378437119306351
    DOI: 10.1016/j.physa.2019.04.261
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    Citations

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    Cited by:

    1. Marie Ligocka, 2023. "The relationship between macroeconomic variables and stock market indices: evidence from Central and Eastern European countries," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 14, pages 76-107, December.
    2. Mehdi Zolfaghari & Bahram Sahabi, 2021. "The impact of oil price and exchange rate on momentum strategy profits in stock market: evidence from oil-rich developing countries," Review of Managerial Science, Springer, vol. 15(7), pages 1981-2023, October.
    3. Bruno Deschamps & Tianlun Fei & Ying Jiang & Xiaoquan Liu, 2022. "Procyclical volatility in Chinese stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 1117-1144, April.
    4. Tao, Chen & Zhong, Guang-Yan & Li, Jiang-Cheng, 2023. "Dynamic correlation and risk resonance among industries of Chinese stock market: New evidence from time–frequency domain and complex network perspectives," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 614(C).

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