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New evidence on financial integration in Latin America

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  • Jamel Jouini

    (Faculty of Economics and Management of Nabeul, University of Carthage, Tunisia)

Abstract

We revisit the financial interconnectedness in Latin America from 1993 to 2022 using Diebold-Yilmaz's (2012, 2014) approach in the generalized VAR framework. Full-sample and rolling-sample analyses reveal high and fluctuating cross-market linkages over time. Three notable periods of intense integration are identified: the first period coincides with the global financial crisis, the second with the Argentinian great depression, and the third encompasses two significant events, namely the COVID-19 pandemic and the Ukraine-Russia war, with the global financial crisis exerting the most pronounced influence. The Brazilian market is the most integrated among Latin American markets, while the Colombian market is the most segmented. These findings suggest limited diversification benefits during turbulent times and have practical implications for policymakers and international investors.

Suggested Citation

  • Jamel Jouini, 2023. "New evidence on financial integration in Latin America," Economics Bulletin, AccessEcon, vol. 43(4), pages 1802-1815.
    • Handle: RePEc:ebl:ecbull:eb-23-00467
    as

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    References listed on IDEAS

    as
    1. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    2. Davidson, Sharada Nia, 2020. "Interdependence or contagion: A model switching approach with a focus on Latin America," Economic Modelling, Elsevier, vol. 85(C), pages 166-197.
    3. Pukthuanthong, Kuntara & Roll, Richard, 2009. "Global market integration: An alternative measure and its application," Journal of Financial Economics, Elsevier, vol. 94(2), pages 214-232, November.
    4. Billio, M. & Donadelli, M. & Paradiso, A. & Riedel, M., 2017. "Which market integration measure?," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 150-174.
    5. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    6. Simeon Coleman & Vitor Leone & Otavio R. de Medeiros, 2019. "Latin American stock market dynamics and comovement," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 1109-1129, July.
    7. Volosovych, Vadym, 2011. "Measuring financial market integration over the long run: Is there a U-shape?," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1535-1561.
    8. Meric, Gulser & Leal, Ricardo P. C. & Ratner, Mitchell & Meric, Ilhan, 2001. "Co-movements of U.S. and Latin American equity markets before and after the 1987 crash," International Review of Financial Analysis, Elsevier, vol. 10(3), pages 219-235.
    9. Zhang, Dayong, 2017. "Oil shocks and stock markets revisited: Measuring connectedness from a global perspective," Energy Economics, Elsevier, vol. 62(C), pages 323-333.
    10. Chen, Gong-meng & Firth, Michael & Meng Rui, Oliver, 2002. "Stock market linkages: Evidence from Latin America," Journal of Banking & Finance, Elsevier, vol. 26(6), pages 1113-1141, June.
    11. Wu, Fei, 2020. "Stock market integration in East and Southeast Asia: The role of global factors," International Review of Financial Analysis, Elsevier, vol. 67(C).
    12. Fujii, Eiji, 2005. "Intra and inter-regional causal linkages of emerging stock markets: evidence from Asia and Latin America in and out of crises," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(4), pages 315-342, October.
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    More about this item

    Keywords

    Financial integration; Time-varying spillovers; Generalized VAR framework; Latin America;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • G1 - Financial Economics - - General Financial Markets

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