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Assessing the readiness of the BRICS grouping for mutually beneficial financial integration

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  • Lumengo Bonga-Bonga

Abstract

This paper assesses the extent of the transmission of equity market volatility shocks between BRICS (Brazil, Russia, India, China and South Africa) countries to infer the degree of risk sharing and the possibility of a beneficial financial integration between its member countries. The paper makes use of the spillover index methodology suggested by Diebold and Yilmaz (2012) to this end. Nonetheless, the paper extends this methodology by making use of ex ante volatility measures that account for long memory in equity markets. The paper finds asymmetric influences between BRICS countries in relation to the cross transmission of risks. The finding of the paper implies the possibility of unequal benefit that could result from a possible capital market liberalisation between the BRICS countries.
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  • Lumengo Bonga-Bonga, 2017. "Assessing the readiness of the BRICS grouping for mutually beneficial financial integration," Review of Development Economics, Wiley Blackwell, vol. 21(4), pages 204-219, November.
    • Handle: RePEc:bla:rdevec:v:21:y:2017:i:4:p:e204-e219
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    File URL: http://hdl.handle.net/10.1111/rode.12324
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    Cited by:

    1. Lumengo Bonga-Bonga & Mathias mandla Manguzvane, 2020. "Assessing the extent of contagion of sovereign credit risk among BRICS countries," Economics Bulletin, AccessEcon, vol. 40(2), pages 1017-1032.
    2. Kouadio, Jean Joel & Mwamba, Muteba & Bonga-Bonga, Lumengo, 2019. "Empirical evidence of systemic tail risk premium in the Johannesburg Stock Exchange," MPRA Paper 96570, University Library of Munich, Germany.
    3. Bonga-Bonga, Lumengo, 2018. "Uncovering equity market contagion among BRICS countries: An application of the multivariate GARCH model," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 36-44.
    4. BONGA-BONGA, Lumengo & NLEYA, Lebogang, 2018. "Assessing Portfolio Market Risk in the BRICS Economies: Use of Multivariate GARCH Models," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 71(2), pages 87-128.
    5. Morema, Kgotso & Bonga-Bonga, Lumengo, 2020. "The impact of oil and gold price fluctuations on the South African equity market: Volatility spillovers and financial policy implications," Resources Policy, Elsevier, vol. 68(C).
    6. Jamel Boukhatem & Zied Ftiti & Jean Michel Sahut, 2021. "Bond market and macroeconomic stability in East Asia: a nonlinear causality analysis," Annals of Operations Research, Springer, vol. 297(1), pages 53-76, February.

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    More about this item

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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