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Pruebas de no linealidad de los rendimientos del mercado mexicano accionario: coeficientes de Lyapunov

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  • Arturo Lorenzo Valdés

    (Tecnológico de Monterrey, Campus Ciudad de México)

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    Abstract

    We examine the non-linearity of the Mexican Stock Market daily returns. We find empirical evidence to reject lineal specifications in the behavior of the stock returns. As a consequence, most of the findings based on lineal methods regarding the stock market in Mexico may be questioned. We also test a random walk specification versus an alternative hypothesis of chaos in the Mexican stock market index, IPC. To achieve this, we design a statistic based on Lyapunov dominant exponent by using local polynomial regression methods. The empirical distribution of the statistic is obtained through the surrogate data method. Finally, the test concludes that the hypothesis of random walk cannot be rejected.

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    File URL: http://codex.colmex.mx:8991/exlibris/aleph/a18_1/apache_media/AQAI2ERMJ4H5LM87I3KUTCC2D8IPDN.pdf
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    Bibliographic Info

    Article provided by El Colegio de México, Centro de Estudios Económicos in its journal Estudios Económicos.

    Volume (Year): 17 (2002)
    Issue (Month): 2 ()
    Pages: 305-322

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    Handle: RePEc:emx:esteco:v:17:y:2002:i:2:p:305-322

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    Web page: http://www.colmex.mx/centros/cee/
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    1. Grieb, Terrance & Reyes, Mario G, 1999. "Random Walk Tests for Latin American Equity Indexes and Individual Firms," Journal of Financial Research, Southern Finance Association & Southwestern Finance Association, vol. 22(4), pages 371-83, Winter.
    2. Ojah, Kalu & Karemera, David, 1999. "Random Walks and Market Efficiency Tests of Latin American Emerging Equity Markets: A Revisit," The Financial Review, Eastern Finance Association, vol. 34(2), pages 57-72, May.
    3. Scheinkman, Jose A & LeBaron, Blake, 1989. "Nonlinear Dynamics and Stock Returns," The Journal of Business, University of Chicago Press, vol. 62(3), pages 311-37, July.
    4. Park, Joon Y. & Whang, Yoon-Jae, 2012. "Random walk or chaos: A formal test on the Lyapunov exponent," Journal of Econometrics, Elsevier, vol. 169(1), pages 61-74.
    5. Hsieh, David A, 1989. "Testing for Nonlinear Dependence in Daily Foreign Exchange Rates," The Journal of Business, University of Chicago Press, vol. 62(3), pages 339-68, July.
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