Advanced Search
MyIDEAS: Login

Long memory in the Portuguese stock market

Contents:

Author Info

  • 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.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.emeraldinsight.com/Insight/viewContentItem.do;jsessionid=56B6475998888EAEB8221ABF859B8211?contentType=Article&contentId=1617185
Download Restriction: Cannot be freely downloaded

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by Emerald Group Publishing in its journal Studies in Economics and Finance.

Volume (Year): 24 (2007)
Issue (Month): 3 (September)
Pages: 220-232

as in new window
Handle: RePEc:eme:sefpps:v:24:y:2007:i:3:p:220-232

Contact details of provider:
Web page: http://www.emeraldinsight.com

Order Information:
Postal: Emerald Group Publishing, Howard House, Wagon Lane, Bingley, BD16 1WA, UK
Email:
Web: http://www.emeraldinsight.com/sef.htm

Related research

Keywords: Portugal; Stock markets; Stock returns;

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Hiremath, Gourishankar S & Bandi, Kamaiah, 2010. "Long Memory in Stock Market Volatility:Evidence from India," MPRA Paper 48519, University Library of Munich, Germany.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:eme:sefpps:v:24:y:2007:i:3:p:220-232. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Louise Lister).

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.