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Long memory in the Portuguese stock market

Author

Listed:
  • Christos Floros
  • Shabbar Jaffry
  • Goncalo Valle Lima

Abstract

Purpose - This paper's aim is to test for the presence of fractional integration, or long memory, in the daily returns of the Portuguese stock market using autoregressive fractionally integrated moving average (ARFIMA), generalised autoregressive conditional heteroskedasticity (GARCH) and ARFIMA-FIGARCH models. Design/methodology/approach - The data cover two periods: 4 January 1993-13 January 2006 (full sample), and 1 February 2002-13 January 2006 (that is, data are considered after the merger of the Portuguese Stock Exchange with Euronext). Findings - The results from the full sample show strong evidence of long memory in stock returns. When data after the merger are considered, weaker evidence of long memory is found. It is concluded that the Portuguese stock market is more efficient after the merger with Euronext. Originality/value - The findings of this paper are helpful to financial managers and investors dealing with Portuguese stock indices.

Suggested Citation

  • Christos Floros & Shabbar Jaffry & Goncalo Valle Lima, 2007. "Long memory in the Portuguese stock market," Studies in Economics and Finance, Emerald Group Publishing, vol. 24(3), pages 220-232, August.
  • Handle: RePEc:eme:sefpps:v:24:y:2007:i:3:p:220-232
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    Citations

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    Cited by:

    1. Hiremath, Gourishankar S & Bandi, Kamaiah, 2011. "Testing Long Memory in Stock Returns of Emerging Markets: Some Further Evidence," MPRA Paper 48517, University Library of Munich, Germany.
    2. Adnan Kasman & Erdost Torun, 2007. "Long Memory in the Turkish Stock Market Return and Volatility," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 7(2), pages 13-27.
    3. Christos Floros, 2011. "On the relationship between weather and stock market returns," Studies in Economics and Finance, Emerald Group Publishing, vol. 28(1), pages 5-13, March.
    4. Cevik, Emrah Ismail & Topaloğlu, Gültekin, 2014. "Volatilitede uzun hafıza ve yapısal kırılma: Borsa Istanbul örneği
      [Long memory and structural breaks on volatility: evidence from Borsa Istanbul]
      ," MPRA Paper 71485, University Library of Munich, Germany, revised 2014.
    5. Hiremath, Gourishankar S & Bandi, Kamaiah, 2010. "Long Memory in Stock Market Volatility:Evidence from India," MPRA Paper 48519, University Library of Munich, Germany.
    6. Pilar Iglesias & Jaime San Martín & Soledad Torres & Frederi Viens, 2011. "Option pricing under a Gamma-modulated diffusion process," Annals of Finance, Springer, vol. 7(2), pages 199-219, May.
    7. Kasman, Adnan & Kasman, Saadet & Torun, Erdost, 2009. "Dual long memory property in returns and volatility: Evidence from the CEE countries' stock markets," Emerging Markets Review, Elsevier, vol. 10(2), pages 122-139, June.

    More about this item

    Keywords

    Portugal; Stock markets; Stock returns;

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