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Periodic market closures and the long-range dependence phenomena in the Brazilian equity market

Author

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  • Cajueiro, Daniel O.
  • Tabak, Benjamin M.
  • Souza, Nathalia A.

Abstract

This paper presents new empirical evidence of the effect of periodic market closures in financial markets which is not available in the literature yet. In particular, employing closing and opening prices, we have found that the intensity of the long-range dependence phenomena presented in this market depends on the time of the day that this phenomena is measured. This kind of pattern seems to be related to trading performed by different types of investors and the flow of information over the day.

Suggested Citation

  • Cajueiro, Daniel O. & Tabak, Benjamin M. & Souza, Nathalia A., 2005. "Periodic market closures and the long-range dependence phenomena in the Brazilian equity market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 351(2), pages 512-522.
    • Handle: RePEc:eee:phsmap:v:351:y:2005:i:2:p:512-522
    DOI: 10.1016/j.physa.2004.12.021
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    References listed on IDEAS

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    1. Slezak, Steve L, 1994. "A Theory of the Dynamics of Security Returns around Market Closures," Journal of Finance, American Finance Association, vol. 49(4), pages 1163-1211, September.
    2. Harrison Hong & Jiang Wang, 2000. "Trading and Returns under Periodic Market Closures," Journal of Finance, American Finance Association, vol. 55(1), pages 297-354, February.
    3. Stoll, Hans R & Whaley, Robert E, 1990. "Stock Market Structure and Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 37-71.
    4. Chan, K. C. & Fong, Wai-Ming & Kho, Bong-Chan & Stulz, ReneM., 1996. "Information, trading and stock returns: Lessons from dually-listed securities," Journal of Banking & Finance, Elsevier, vol. 20(7), pages 1161-1187, August.
    5. Brock, William A. & Kleidon, Allan W., 1992. "Periodic market closure and trading volume : A model of intraday bids and asks," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 451-489.
    6. Andersen, Torben G. & Bollerslev, Tim, 1997. "Intraday periodicity and volatility persistence in financial markets," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 115-158, June.
    7. Gerety, Mason S & Mulherin, J Harold, 1994. "Price Formation on Stock Exchanges: The Evolution of Trading within the Day," The Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 609-629.
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    Citations

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    Cited by:

    1. Gu, Rongbao & Xiong, Wei & Li, Xinjie, 2015. "Does the singular value decomposition entropy have predictive power for stock market? — Evidence from the Shenzhen stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 103-113.
    2. Kang, Sang Hoon & Yoon, Seong-Min, 2008. "Long memory features in the high frequency data of the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5189-5196.
    3. Boainain, Pedro G. & Valls Pereira, Pedro L., 2009. "“Ombro-Cabeça-Ombro”: Testando a Lucratividade do Padrão Gráfico de Análise Técnica no Mercado de Ações Brasileiro [Head and Shoulder: testing the profitability of graphic pattern of technical anal," MPRA Paper 15653, University Library of Munich, Germany.
    4. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Characterizing bid–ask prices in the Brazilian equity market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 627-633.
    5. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Contemporaneous aggregation and long-memory property of returns and volatility in the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4844-4854.
    6. Reboredo, Juan C. & Rivera-Castro, Miguel A. & Miranda, José G.V. & García-Rubio, Raquel, 2013. "How fast do stock prices adjust to market efficiency? Evidence from a detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(7), pages 1631-1637.

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