IDEAS home Printed from https://ideas.repec.org/p/gmf/wpaper/2012-02.html
   My bibliography  Save this paper

As Ações Portuguesas Seguem um Random Walk? Implicações para a Eficiência de Mercado e para a Definição de Estratégias de Transação

Author

Listed:
  • Ana Rita Gonzaga

    (Master in Economics, Faculty of Economics University of Coimbra)

  • Helder Sebastião

    (Faculty of Economics University of Coimbra and GEMF)

Abstract

No presente trabalho são testadas as hipóteses de random walk e de eficiência informacional aplicadas ao mercado acionista português, considerando dezasseis ações e o índice PSI-20, durante o período de 1987-2010.Os vários testes de random walk obtiveram resultados mistos, todavia a não rejeição desta hipótese para a maioria das ações e para o índice PSI-20 nos últimos três anos da amostra (2008-2010) parece indicar a existência de uma tendência no sentido duma maior maturidade e eficiência informacional do mercado português. A aplicação de várias estratégias de transação baseadas em médias móveis, channel rules e filter rules, apesar de apresentarem uma elevada sensibilidade aos parâmetros, permitiram, de uma maneira geral, a obtenção de rentabilidades substancialmente superiores à estratégia simples buy-and-hold, mesmo após a consideração de custos de transação tanto para os investidores institucionais como para os investidores “fora-de-bolsa”. Estes resultados positivos são sobretudo relevantes para as ações da Martifer, Sonae, Sonae Indústria e Zon, precisamente aquelas onde foi rejeitada de forma categórica a hipótese de random walk. Em suma, apesar da crescente eficiência informacional, ao que muito provavelmente não está alheio a redução dos custos de transação, a maior maturidade dos investidores nacionais e a maior exposição internacional, o que decerto para muito contribuiu a integração na EURONEXT, ainda parece subsistir algum espaço para a exploração de estratégias de transação baseadas na análise técnica, sobretudo perante contextos de depressão de mercado.

Suggested Citation

  • Ana Rita Gonzaga & Helder Sebastião, 2012. "As Ações Portuguesas Seguem um Random Walk? Implicações para a Eficiência de Mercado e para a Definição de Estratégias de Transação," GEMF Working Papers 2012-02, GEMF, Faculty of Economics, University of Coimbra.
  • Handle: RePEc:gmf:wpaper:2012-02
    as

    Download full text from publisher

    File URL: https://repec.uc.pt/gmf/wpaper/wpgemf/gemf_2012-02.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    2. Maria Rosa Borges, 2010. "Efficient market hypothesis in European stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 16(7), pages 711-726.
    3. Maria Rosa Borges, 2011. "Random walk tests for the Lisbon stock market," Applied Economics, Taylor & Francis Journals, vol. 43(5), pages 631-639.
    4. José Carlos Dias & Luís Lopes & Vitor Martins & José Manuel Benzinho, 2004. "Efficiency tests in the Iberian stock markets," Finance 0406001, University Library of Munich, Germany.
    5. Graham Smith, 2009. "Martingales in European emerging stock markets: Size, liquidity and market quality," The European Journal of Finance, Taylor & Francis Journals, vol. 15(3), pages 249-262.
    6. Jensen, Michael C & Bennington, George A, 1970. "Random Walks and Technical Theories: Some Additional Evidence," Journal of Finance, American Finance Association, vol. 25(2), pages 469-482, May.
    7. Amélie Charles & Olivier Darné, 2009. "Variance‐Ratio Tests Of Random Walk: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 503-527, July.
    8. 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.
    9. Graham Smith & Hyun-Jung Ryoo, 2003. "Variance ratio tests of the random walk hypothesis for European emerging stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 9(3), pages 290-300.
    10. Suzanne Fifield & David Power & C. Donald Sinclair, 2005. "An analysis of trading strategies in eleven European stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 11(6), pages 531-548.
    11. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
    12. Nelson Manuel Areal & Manuel Jose Da Rocha Armada, 2002. "The long-horizon returns behaviour of the Portuguese stock market1," The European Journal of Finance, Taylor & Francis Journals, vol. 8(1), pages 93-122.
    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. Mohanty, Sunil K. & Mishra, Sibanjan, 2020. "Regulatory reform and market efficiency: The case of Indian agricultural commodity futures markets," Research in International Business and Finance, Elsevier, vol. 52(C).
    2. Hiremath, Gourishankar S & Bandi, Kamaiah, 2009. "On the random walk characteristics of stock returns in India," MPRA Paper 46499, University Library of Munich, Germany.
    3. Sensoy, Ahmet & Tabak, Benjamin M., 2015. "Time-varying long term memory in the European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 147-158.
    4. Graham Smith, 2012. "The changing and relative efficiency of European emerging stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 18(8), pages 689-708, September.
    5. A. Sensoy & Benjamin M. Tabak, 2013. "How much random does European Union walk? A time-varying long memory analysis," Working Papers Series 342, Central Bank of Brazil, Research Department.
    6. Hiremath, Gourishankar S & Bandi, Kamaiah, 2010. "Some Further Evidence on the Behaviour of Stock Returns in India," MPRA Paper 48518, University Library of Munich, Germany.
    7. Leković Miljan, 2018. "Evidence for and Against the Validity of Efficient Market Hypothesis," Economic Themes, Sciendo, vol. 56(3), pages 369-387, September.
    8. Andrew Urquhart, 2014. "The Euro and European stock market efficiency," Applied Financial Economics, Taylor & Francis Journals, vol. 24(19), pages 1235-1248, October.
    9. Jitka Veselá & Alžběta Zíková, 2022. "Are the Czech, Polish, German and Dutch markets taking a random walk? [Konají český, polský, německý a nizozemský trh náhodnou procházku?]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2022(2), pages 19-38.
    10. Urquhart, Andrew & Hudson, Robert, 2013. "Efficient or adaptive markets? Evidence from major stock markets using very long run historic data," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 130-142.
    11. Maria Rosa Borges, 2010. "Efficient market hypothesis in European stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 16(7), pages 711-726.
    12. Borkowski, Bolesław & Krawiec, Monika & Karwański, Marek & Szczesny, Wiesław & Shachmurove, Yochanan, 2021. "Modeling garch processes in base metals returns using panel data," Resources Policy, Elsevier, vol. 74(C).
    13. Nauzer Balsara & Jason Chen & Lin Zheng, 2009. "Profiting from a contrarian application of technical trading rules in the US stock market," Journal of Asset Management, Palgrave Macmillan, vol. 10(2), pages 97-123, June.
    14. Samuel Showalter & Jeffrey Gropp, 2019. "Validating Weak-form Market Efficiency in United States Stock Markets with Trend Deterministic Price Data and Machine Learning," Papers 1909.05151, arXiv.org.
    15. Zhu, Yingzi & Zhou, Guofu, 2009. "Technical analysis: An asset allocation perspective on the use of moving averages," Journal of Financial Economics, Elsevier, vol. 92(3), pages 519-544, June.
    16. Gábor Bóta & Mihály Ormos, 2015. "Development of stock market pricing in Central and Eastern Europe through two decades after the transition," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(4), pages 685-708, November.
    17. Yung-Ho Chang & Massoud Metghalchi & Chia-Chung Chan, 2006. "Technical trading strategies and cross-national information linkage: the case of Taiwan stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 16(10), pages 731-743.
    18. repec:prg:jnlcfu:v:2022:y:2022:i:2:id:575 is not listed on IDEAS
    19. Pereira, Pedro L. Valls, 2009. "Ombro-cabeça-ombro: testando a lucratividade do padrão gráfico de análise técnica no mercado de ações brasileiro," Textos para discussão 181, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    20. Maria Rosa Borges, 2011. "Random walk tests for the Lisbon stock market," Applied Economics, Taylor & Francis Journals, vol. 43(5), pages 631-639.
    21. Erdas Mehmet Levent, 2019. "Validity of Weak-Form Market Efficiency in Central and Eastern European Countries (CEECs): Evidence from Linear and Nonlinear Unit Root Tests," Review of Economic Perspectives, Sciendo, vol. 19(4), pages 399-428, December.

    More about this item

    Keywords

    Random Walk; Eficiência Informacional; Análise Técnica; Médias Móveis; Channel Rules; Filter Rules; Euronext Lisboa.;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • 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:gmf:wpaper:2012-02. 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: Sofia Antunes (email available below). General contact details of provider: https://edirc.repec.org/data/cebucpt.html .

    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.