IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-23-00467.html
   My bibliography  Save this article

New evidence on financial integration in Latin America

Author

Listed:
  • 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

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2023/Volume43/EB-23-V43-I4-P156.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Billio, M. & Donadelli, M. & Paradiso, A. & Riedel, M., 2017. "Which market integration measure?," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 150-174.
    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. 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.
    9. 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).
    10. 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.
    11. 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.
    12. Zhang, Dayong, 2017. "Oil shocks and stock markets revisited: Measuring connectedness from a global perspective," Energy Economics, Elsevier, vol. 62(C), pages 323-333.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Liow, Kim Hiang & Song, Jeongseop, 2020. "Dynamic interdependence of ASEAN5 with G5 stock markets," Emerging Markets Review, Elsevier, vol. 45(C).
    3. He, Hongbo & Chen, Yiqing & Wan, Hong & Yao, Shujie, 2023. "Possibility versus feasibility: International portfolio diversification under financial liberalization," International Review of Financial Analysis, Elsevier, vol. 87(C).
    4. Chen, Yanhua & Li, Youwei & Pantelous, Athanasios A. & Stanley, H. Eugene, 2022. "Short-run disequilibrium adjustment and long-run equilibrium in the international stock markets: A network-based approach," International Review of Financial Analysis, Elsevier, vol. 79(C).
    5. Patel, Ritesh & Goodell, John W. & Oriani, Marco Ercole & Paltrinieri, Andrea & Yarovaya, Larisa, 2022. "A bibliometric review of financial market integration literature," International Review of Financial Analysis, Elsevier, vol. 80(C).
    6. Imran Yousaf & Shoaib Ali & Wing-Keung Wong, 2020. "Return and Volatility Transmission between World-Leading and Latin American Stock Markets: Portfolio Implications," JRFM, MDPI, vol. 13(7), pages 1-19, July.
    7. Michael Donadelli & Ivan Gufler, 2021. "Consumption smoothing, risk sharing and financial integration," The World Economy, Wiley Blackwell, vol. 44(1), pages 143-187, January.
    8. Dungey, Mardi & Islam, Raisul & Volkov, Vladimir, 2020. "Crisis transmission: Visualizing vulnerability," Pacific-Basin Finance Journal, Elsevier, vol. 59(C).
    9. Qiao, Sen & Guo, Zi Xin & Tao, Zhang & Ren, Zheng Yu, 2023. "Analyzing the network structure of risk transmission among renewable, non-renewable energy and carbon markets," Renewable Energy, Elsevier, vol. 209(C), pages 206-217.
    10. Han, Lin & Kordzakhia, Nino & Trück, Stefan, 2020. "Volatility spillovers in Australian electricity markets," Energy Economics, Elsevier, vol. 90(C).
    11. Donadelli, M. & Gufler, I. & Paradiso, A., 2024. "Financial market integration: A complex and controversial journey," International Review of Financial Analysis, Elsevier, vol. 92(C).
    12. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2020. "Dynamic frequency connectedness between oil and natural gas volatilities," Economic Modelling, Elsevier, vol. 84(C), pages 181-189.
    13. Wang, Xunxiao & Wu, Chongfeng, 2018. "Asymmetric volatility spillovers between crude oil and international financial markets," Energy Economics, Elsevier, vol. 74(C), pages 592-604.
    14. Kang, Sanghoon & Hernandez, Jose Arreola & Sadorsky, Perry & McIver, Ronald, 2021. "Frequency spillovers, connectedness, and the hedging effectiveness of oil and gold for US sector ETFs," Energy Economics, Elsevier, vol. 99(C).
    15. Shi Chen & Wolfgang Karl Hardle & Brenda L'opez Cabrera, 2020. "Regularization Approach for Network Modeling of German Power Derivative Market," Papers 2009.09739, arXiv.org.
    16. Feng, Huiqun & Zhang, Jun & Guo, Na, 2023. "Time-varying linkages between energy and stock markets: Dynamic spillovers and driving factors," International Review of Financial Analysis, Elsevier, vol. 89(C).
    17. Li, Yanfei & Ji, Qiang & Zhang, Dayong, 2020. "Technological catching up and innovation policies in China: What is behind this largely successful story?," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    18. Gomez-Gonzalez, Jose E. & Hirs-Garzón, Jorge & Sanín-Restrepo, Sebastián, 2021. "Dynamic relations between oil and stock markets: Volatility spillovers, networks and causality," International Economics, Elsevier, vol. 165(C), pages 37-50.
    19. Dai, Zhifeng & Tang, Rui & Zhang, Xiaotong, 2023. "A new multilayer network for measuring interconnectedness among the energy firms," Energy Economics, Elsevier, vol. 124(C).
    20. Thomas F. P. Wiesen & Todd Gabe & Lakshya Bharadwaj, 2023. "Econometric connectedness as a measure of urban influence: evidence from Maine," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-16, December.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-23-00467. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.