IDEAS home Printed from https://ideas.repec.org/a/col/000152/015783.html

La complejidad del mercado bursátil latinoamericano a partir de un modelo autómata celular conductual

Author

Listed:
  • Leonardo Hernán Talero Sarmiento
  • uan Benjam�n Duarte-Duarte
  • Laura Daniela Garc�s-Carre�o

Abstract

La presente investigación busca evaluar el nivel de complejidad del mercado latinoamericano, mediante la construcción de un modelo autómata celular. Para ello se estudian seis índices bursátiles: COLCAP, IPSA, MERVAL, MEXBOL, SPBLPGPT e IBOV, en el periodo 2004-2016. Estas series son analizadas a partir de su comportamiento estadístico, el ajuste de retornos y la estimación de su grado de complejidad. Este último es contrastado posteriormente con el nivel de complejidad obtenido mediante la simulación de un mercado bursátil artificial, y se concluye que los mercados latinoamericanos, a pesar de presentar diferencias, suelen tener tendencias similares, ya que su grado de complejidad no puede ser pronosticado por un modelo autómata celular conductual basado netamente en la imitación.

Suggested Citation

  • Leonardo Hernán Talero Sarmiento & uan Benjam�n Duarte-Duarte & Laura Daniela Garc�s-Carre�o, 2017. "La complejidad del mercado bursátil latinoamericano a partir de un modelo autómata celular conductual," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 36(64), pages 199-223.
  • Handle: RePEc:col:000152:015783
    as

    Download full text from publisher

    File URL: http://revistas.uptc.edu.co/index.php/cenes/article/view/5421
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guillermo Sierra Juárez, 2007. "Procesos de Hurts y movimientos brownianos fraccionales en mercados fractales," Revista de Administración, Finanzas y Economía (Journal of Management, Finance and Economics), Tecnológico de Monterrey, Campus Ciudad de México, vol. 1(1), pages 1-21.
    2. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    3. Robert J. Shiller, 2003. "From Efficient Markets Theory to Behavioral Finance," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 83-104, Winter.
    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. Thomas Delcey, 2019. "Samuelson vs Fama on the Efficient Market Hypothesis: The Point of View of Expertise [Samuelson vs Fama sur l’efficience informationnelle des marchés financiers : le point de vue de l’expertise]," Post-Print hal-01618347, HAL.
    2. Ariane Szafarz, 2015. "Market Efficiency and Crises:Don’t Throw the Baby out with the Bathwater," Bankers, Markets & Investors, ESKA Publishing, issue 139, pages 20-26, November-.
    3. Bikramaditya Ghosh & Elie Bouri, 2022. "Long Memory and Fractality in the Universe of Volatility Indices," Complexity, John Wiley & Sons, vol. 2022(1).
    4. Vasileiou, Evangelos, 2018. "Is the turn of the month effect an “abnormal normality”? Controversial findings, new patterns and…hidden signs(?)," Research in International Business and Finance, Elsevier, vol. 44(C), pages 153-175.
    5. Ahmed Bouteska & Murad Harasheh, 2026. "Decoding the crypto crowd: how social media sentiment predicts Ethereum’s price," Journal of Asset Management, Palgrave Macmillan, vol. 27(1), pages 1-12, March.
    6. Diego Pitta Jesus & Elvira Helena Oliveira Medeiros & Lucas Lúcio Godeiro & Andressa Lemes Proque, 2025. "Forecasting Brazilian Stock Market Using Sentiment Indices from Textual Data, Chat-GPT-Based and Technical Indicators," Computational Economics, Springer;Society for Computational Economics, vol. 66(5), pages 3735-3780, November.
    7. Nguyen, Huan Huu & Ngo, Vu Minh & Pham, Luan Minh & Van Nguyen, Phuc, 2025. "Investor sentiment and market returns: A multi-horizon analysis," Research in International Business and Finance, Elsevier, vol. 74(C).
    8. Shehadeh, Ali A. & Zheng, Min, 2023. "Calendar anomalies in stock market returns: Evidence from Middle East countries," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 962-980.
    9. Steven Pressman, 2018. "Hyman Minsky and behavioral finance," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 2(1), pages 33-37, March.
    10. Caporale, Guglielmo Maria & Gil-Alana, Luis & Plastun, Alex, 2018. "Is market fear persistent? A long-memory analysis," Finance Research Letters, Elsevier, vol. 27(C), pages 140-147.
    11. Chaimaa Laamime, & Karima Mialed, 2025. "Advanced Technologies and Behavioral Biases in Trading: A Qualitative Study on the Use of Technological Tools by Individual Traders [Technologies avancées et biais comportementaux en trading : Une étude qualitative sur l’usage des dispositifs tech," Post-Print hal-05243730, HAL.
    12. Hervé, Fabrice & Zouaoui, Mohamed & Belvaux, Bertrand, 2019. "Noise traders and smart money: Evidence from online searches," Economic Modelling, Elsevier, vol. 83(C), pages 141-149.
    13. Oscar Bernal Diaz & Astrid Herinckx & Ariane Szafarz, 2014. "Which short-selling regulation is the least damaging to market efficiency? Evidence from Europe," Post-Print CEB, ULB -- Universite Libre de Bruxelles, vol. 37, pages 244-256, March.
    14. Juan Benjamin Duarte Duarte & Leonardo Hernán Talero Sarmiento & Katherine Julieth Sierra Suárez, 2017. "Evaluación del efecto de la psicología del inversionista en un mercado bursátil artificial mediante su grado de eficiencia," Contaduría y Administración, Accounting and Management, vol. 62(4), pages 1345-1360, Octubre-D.
    15. Te Bao & Cars Hommes & Tomasz Makarewicz, 2017. "Bubble Formation and (In)Efficient Markets in Learning‐to‐forecast and optimise Experiments," Economic Journal, Royal Economic Society, vol. 127(605), pages 581-609, October.
    16. Mateusz Skwarek, 2025. "Why Do Investors Behave Irrationally in the Cryptocurrency and Emerging Stock Markets?," SAGE Open, , vol. 15(3), pages 21582440251, July.
    17. Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Yousaf, Imran & Kumar Tiwari, Aviral & Li, Yanshuang, 2024. "Economic sanctions sentiment and global stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    18. Jasman Tuyon & Zamri Ahmada, 2016. "Behavioural finance perspectives on Malaysian stock market efficiency," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 16(1), pages 43-61, March.
    19. repec:rbs:ijbess:v:7:y:2026:i:6:p:344-358 is not listed on IDEAS
    20. Luyun Lin & Lixing Lin & Zhen Zhang & Moxuan Zheng & Yiqing Wang, 2026. "A Volume-Price-Adjusted MACD Trading Strategy with Sensitivity Calibration for U.S. Equity Indices," Papers 2604.26063, arXiv.org.
    21. Gaies, Brahim & Nakhli, Mohamed Sahbi & Sahut, Jean-Michel & Schweizer, Denis, 2023. "Interactions between investors’ fear and greed sentiment and Bitcoin prices," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
    • G2 - Financial Economics - - Financial Institutions and Services

    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:col:000152:015783. 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: Luis Eudoro Vallejo Zamudio (email available below). General contact details of provider: https://revistas.uptc.edu.co/index.php/cenes/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.