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The effects of the subprime crisis on the Latin American financial markets: An empirical assessment

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  • Dufrénot, Gilles
  • Mignon, Valérie
  • Péguin-Feissolle, Anne

Abstract

The aim of this article is to answer the following question: can the considerable rise in the volatility of the LAC stock markets in the aftermath of the 2007/2008 crisis be explained by the worsening financial environment in the US markets? To this end, we rely on a time-varying transition probability Markov-switching model, in which "crisis" and "non-crisis" periods are identified endogenously. Using daily data from January 2004 to April 2009, our findings do not validate the "financial decoupling" hypothesis since we show that the financial stress in the US markets is transmitted to the LAC's stock market volatility, especially in Mexico.

Suggested Citation

  • Dufrénot, Gilles & Mignon, Valérie & Péguin-Feissolle, Anne, 2011. "The effects of the subprime crisis on the Latin American financial markets: An empirical assessment," Economic Modelling, Elsevier, vol. 28(5), pages 2342-2357, September.
  • Handle: RePEc:eee:ecmode:v:28:y:2011:i:5:p:2342-2357
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    1. Andrew K. Rose & Mark M. Spiegel, 2010. "Cross‐Country Causes And Consequences Of The 2008 Crisis: International Linkages And American Exposure," Pacific Economic Review, Wiley Blackwell, vol. 15(3), pages 340-363, August.
    2. Erik Berglof & Yevgeniya Korniyenko & Alexander Plekhanov & Jeromin Zettelmeyer, 2010. "Understanding the Crisis in Emerging Europe," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 6(6), pages 985-1008, September.
    3. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    4. Berkmen, S. Pelin & Gelos, Gaston & Rennhack, Robert & Walsh, James P., 2012. "The global financial crisis: Explaining cross-country differences in the output impact," Journal of International Money and Finance, Elsevier, vol. 31(1), pages 42-59.
    5. Kiefer, Nicholas M, 1978. "Discrete Parameter Variation: Efficient Estimation of a Switching Regression Model," Econometrica, Econometric Society, vol. 46(2), pages 427-434, March.
    6. Aloui, Riadh & Aïssa, Mohamed Safouane Ben & Nguyen, Duc Khuong, 2011. "Global financial crisis, extreme interdependences, and contagion effects: The role of economic structure?," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 130-141, January.
    7. MArdi Dungey & Renee Fry & Brenda Gonzales-Hermosillo & Vance L. Martin & Chrismin Tang, 2008. "Are Financial Crises Alike?," CAMA Working Papers 2008-15, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. Powell, Andrew & Martínez, Juan Francisco, 2008. "On Emerging Economy Sovereign Spreads and Ratings," IDB Publications (Working Papers) 1611, Inter-American Development Bank.
    9. Mr. Heiko Hesse & Nathaniel Frank & Ms. Brenda Gonzalez-Hermosillo, 2008. "Transmission of Liquidity Shocks: Evidence from the 2007 Subprime Crisis," IMF Working Papers 2008/200, International Monetary Fund.
    10. Engle, Robert F. & Ng, Victor K. & Rothschild, Michael, 1990. "Asset pricing with a factor-arch covariance structure : Empirical estimates for treasury bills," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 213-237.
    11. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    12. Adam Clements & Jerome Collet, 2008. "Do common volatility models capture cyclical behaviour in volatility?," Applied Financial Economics, Taylor & Francis Journals, vol. 18(7), pages 599-604.
    13. Filardo, Andrew J, 1994. "Business-Cycle Phases and Their Transitional Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 299-308, July.
    14. Connor, Gregory & Korajczyk, Robert A. & Linton, Oliver, 2006. "The common and specific components of dynamic volatility," Journal of Econometrics, Elsevier, vol. 132(1), pages 231-255, May.
    15. Filardo, Andrew J. & Gordon, Stephen F., 1998. "Business cycle durations," Journal of Econometrics, Elsevier, vol. 85(1), pages 99-123, July.
    16. Dooley, Michael & Hutchison, Michael, 2009. "Transmission of the U.S. subprime crisis to emerging markets: Evidence on the decoupling-recoupling hypothesis," Journal of International Money and Finance, Elsevier, vol. 28(8), pages 1331-1349, December.
    17. Kim, Chang-Jin & Piger, Jeremy & Startz, Richard, 2008. "Estimation of Markov regime-switching regression models with endogenous switching," Journal of Econometrics, Elsevier, vol. 143(2), pages 263-273, April.
    18. Goldfeld, Stephen M. & Quandt, Richard E., 1973. "A Markov model for switching regressions," Journal of Econometrics, Elsevier, vol. 1(1), pages 3-15, March.
    19. Fernanda G Barba & Paulo S Ceretta, 2011. "Risk transmission between Latin America stock markets and the US: impacts of the 2007/2008 Crisis," Economics Bulletin, AccessEcon, vol. 31(2), pages 1025-1037.
    20. Soosung Hwang & Steve Satchell, 2005. "GARCH model with cross-sectional volatility: GARCHX models," Applied Financial Economics, Taylor & Francis Journals, vol. 15(3), pages 203-216.
    21. Garcia, Rene, 1998. "Asymptotic Null Distribution of the Likelihood Ratio Test in Markov Switching Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(3), pages 763-788, August.
    22. Fritz Breuss, 2011. "Global financial crisis as a phenomenon of stock market overshooting," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 38(1), pages 131-152, February.
    23. Hamilton, James D, 1991. "A Quasi-Bayesian Approach to Estimating Parameters for Mixtures of Normal Distributions," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(1), pages 27-39, January.
    24. Ms. Brenda Gonzalez-Hermosillo & Mr. Heiko Hesse, 2009. "Global Market Conditions and Systemic Risk," IMF Working Papers 2009/230, International Monetary Fund.
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    More about this item

    Keywords

    Stock markets Volatility Financial stress Regime-switching Markov-switching model;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G01 - Financial Economics - - General - - - Financial Crises
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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