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Testing for causality-in-mean and in-variance among the U.S., China, and some Africa capital markets: A CCF approach

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  • Osabuohien-Irabor Osarumwense

    (Department of International Economics, School of Economics, Ural Federal University, Ekaterinburg, Russia)

Abstract

Aim/purpose – Owing to the huge risk occasioned by negative contagion effects associated with financial market linkages, markets participants and academia have continued to examine the capital market cross country interdependence at different levels. In this paper, we examined the causal relationships among the U.S., China and some top African capital market indexes.

Suggested Citation

  • Osabuohien-Irabor Osarumwense, 2021. "Testing for causality-in-mean and in-variance among the U.S., China, and some Africa capital markets: A CCF approach," Journal of Economics and Management, Sciendo, vol. 43(1), pages 131-153, January.
  • Handle: RePEc:vrs:jecman:v:43:y:2021:i:1:p:131-153:n:3
    DOI: 10.22367/jem.2021.43.07
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    References listed on IDEAS

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    1. Yusaku Nishimura & Yoshiro Tsutsui & Kenjiro Hirayama, 2016. "The Chinese Stock Market Does not React to the Japanese Market: Using Intraday Data to Analyse Return and Volatility Spillover Effects," The Japanese Economic Review, Japanese Economic Association, vol. 67(3), pages 280-294, September.
    2. Gyu-Hyen Moon & Wei-Choun Yu, 2010. "Volatility Spillovers between the US and China Stock Markets: Structural Break Test with Symmetric and Asymmetric GARCH Approaches," Global Economic Review, Taylor & Francis Journals, vol. 39(2), pages 129-149.
    3. Bouri, Elie & Chen, Qian & Lien, Donald & Lv, Xin, 2017. "Causality between oil prices and the stock market in China: The relevance of the reformed oil product pricing mechanism," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 34-48.
    4. Akkoc, Ugur & Civcir, Irfan, 2019. "Dynamic linkages between strategic commodities and stock market in Turkey: Evidence from SVAR-DCC-GARCH model," Resources Policy, Elsevier, vol. 62(C), pages 231-239.
    5. Bhar, Ramaprasad & Hamori, Shigeyuki, 2005. "Causality in variance and the type of traders in crude oil futures," Energy Economics, Elsevier, vol. 27(3), pages 527-539, May.
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    More about this item

    Keywords

    causality-in-mean; causality-in-variance; capital market; cross-correlation function;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General

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