IDEAS home Printed from https://ideas.repec.org/a/imx/journl/v4y2005i4p387-426.html
   My bibliography  Save this article

Volatility Co-Movement Among Latin American Stock Exchanges: Bad Times Vs. Good Times

Author

Listed:
  • Jesús Téllez Gaytán

    (Tecnológico de Monterrey, Campus Estado de México)

  • Carlos A. Martínez

    (Tecnológico de Monterrey, Campus Estado de México)

Abstract

En este documento se compara el comportamiento de la volatilidad entre Bolsas de Valores de América Latina durante dos periodos: tiempos de crisis contra tiempos tranquilos. EI propósito es verificar el nivel y dirección de los movimientos de Ia volatilidad. Los resultados arrojan que los rendimientos de los índices accionarios se distribuyen con colas anchas, por Io que el modelo GARCH se estimó bajo el supuesto de distribución t-student en los errores estandarizados. El sistema VAR indica que el IP&C, IPSA, IBOVESPA y Merval, son los mercados fuertemente correlacionados. El co-movimiento de Ia volatilidad entre estos mercados fue mayor durante tiempos de crisis respecto a tiempos tranquilos, por lo que la volatilidad fue bi-direccional en tiempos malos. Se concluye que el co-movimiento de la volatilidad definida también como contagio de la volatilidad, se puede clasificar como un tipo de incremento en la correlación de shocks.

Suggested Citation

  • Jesús Téllez Gaytán & Carlos A. Martínez, 2005. "Volatility Co-Movement Among Latin American Stock Exchanges: Bad Times Vs. Good Times," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 4(4), pages 387-426, Diciembre.
    • Handle: RePEc:imx:journl:v:4:y:2005:i:4:p:387-426
    as

    Download full text from publisher

    File URL: http://www.remef.org.mx/index.php/primera/article/view/212
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Graciela L. Kaminsky & Carmen M. Reinhart & Carlos A. Végh, 2003. "The Unholy Trinity of Financial Contagion," Journal of Economic Perspectives, American Economic Association, vol. 17(4), pages 51-74, Fall.
    2. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    3. International Monetary Fund, 1999. "Sources of Contagion: Finance or Trade?," IMF Working Papers 1999/146, International Monetary Fund.
    4. Bera, Anil K & Higgins, Matthew L, 1993. "ARCH Models: Properties, Estimation and Testing," Journal of Economic Surveys, Wiley Blackwell, vol. 7(4), pages 305-366, December.
    5. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    6. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    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. Eleni Constantinou & Robert Georgiades & Avo Kazandjian & George Kouretas, 2005. "Mean and variance causality between the Cyprus Stock Exchange and major equity markets," Working Papers 0501, University of Crete, Department of Economics.
    2. McMillan, David G. & Speight, Alan E. H., 2001. "Non-ferrous metals price volatility: a component analysis," Resources Policy, Elsevier, vol. 27(3), pages 199-207, September.
    3. Sébastien Laurent & Luc Bauwens & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109.
    4. Mailand, Wilhelm, 1998. "Zum Einfluß von Unsicherheit auf die gesamtwirtschaftliche Investitionstätigkeit," HWWA Discussion Papers 57, Hamburg Institute of International Economics (HWWA).
    5. Koopman, Siem Jan & Jungbacker, Borus & Hol, Eugenie, 2005. "Forecasting daily variability of the S&P 100 stock index using historical, realised and implied volatility measurements," Journal of Empirical Finance, Elsevier, vol. 12(3), pages 445-475, June.
    6. Angelidis, Timotheos & Benos, Alexandros & Degiannakis, Stavros, 2004. "The Use of GARCH Models in VaR Estimation," MPRA Paper 96332, University Library of Munich, Germany.
    7. David McMillan & Alan Speight, 2006. "Heterogeneous information flows and intra-day volatility dynamics: evidence from the UK FTSE-100 stock index futures market," Applied Financial Economics, Taylor & Francis Journals, vol. 16(13), pages 959-972.
    8. Jiangze Du & Shaojie Lai & Kin Keung Lai & Shifei Zhou, 2021. "A novel term structure stochastic model with adaptive correlation for trend analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5485-5498, October.
    9. van Dijk, Dick & Franses, Philip Hans & Lucas, Andre, 1999. "Testing for ARCH in the Presence of Additive Outliers," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 539-562, Sept.-Oct.
    10. Verbeek, Marno, 2007. "A Guide to Modern Econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 8(4), pages 125-132.
    11. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871.
    12. Fazal HUSAIN & Jamshed UPPAL, 1999. "STOCK RETURNS VOLATILITY IN AN EMERGING MARKET: The Pakistani Evidence," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 15, pages 19-40.
    13. Zhu, Ke & Ling, Shiqing, 2013. "Global self-weighted and local quasi-maximum exponential likelihood estimators for ARMA-GARCH/IGARCH models," MPRA Paper 51509, University Library of Munich, Germany.
    14. Nelson, Daniel B., 1996. "Asymptotic filtering theory for multivariate ARCH models," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 1-47.
    15. Mailand, Wilhelm, 1998. "Zum Einfluss von Unsicherheit auf die gesamtwirtschaftliche Investitionstatigkeit," Discussion Paper Series 26305, Hamburg Institute of International Economics.
    16. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    17. Black, Angela J. & McMillan, David G., 2006. "Asymmetric risk premium in value and growth stocks," International Review of Financial Analysis, Elsevier, vol. 15(3), pages 237-246.
    18. Michael McKenzie & Heather Mitchell & Robert Brooks & Robert Faff, 2001. "Power ARCH modelling of commodity futures data on the London Metal Exchange," The European Journal of Finance, Taylor & Francis Journals, vol. 7(1), pages 22-38.
    19. Jones, Brad & Lin, Chien-Ting & Masih, A. Mansur M., 2005. "Macroeconomic announcements, volatility, and interrelationships: An examination of the UK interest rate and equity markets," International Review of Financial Analysis, Elsevier, vol. 14(3), pages 356-375.
    20. Hong, Yongmiao, 2001. "A test for volatility spillover with application to exchange rates," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 183-224, July.

    More about this item

    Keywords

    Heteroskedasticity; Contagian; VAR;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G15 - Financial Economics - - General Financial Markets - - - International 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:imx:journl:v:4:y:2005:i:4:p:387-426. 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: Ricardo Mendoza (email available below). General contact details of provider: https://www.remef.org.mx/index.php/remef/index .

    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.