This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Long Term Dependence in Stock Returns

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Christopher F. Baum () (Boston College)
John Barkoulas (Boston College)

Additional information is available for the following registered author(s):

Abstract

This paper investigates the presence of fractal dynamics in stock returns. We improve upon existing literature in two ways: i) instead of rescaled-range analysis, we use the more efficient semi- nonparametric procedure suggested by Geweke and Porter-Hudak (GPH, 1983), and ii) to ensure robustness, we apply the GPH test to a variety of aggregate and sectoral stock indices and individual companies' stock returns series at both daily and monthly frequencies. Our results indicate that fractal structure is not exhibited by stock indices, but it may characterize the behavior of some individual stock returns series.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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://fmwww.bc.edu/EC-P/WP314.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Boston College Department of Economics in its series Boston College Working Papers in Economics with number 314..

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 12 pages
Date of creation: 01 Jan 1996
Date of revision:
Publication status: published, Economics Letters, 53:3, 253-259.
Handle: RePEc:boc:bocoec:314

Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: stock returns; long memory; fractal dynamics; spectral regression;

Other versions of this item:

Find related papers by JEL classification:
G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Victor Chow, K. & Denning, Karen C. & Ferris, Stephen & Noronha, Gregory, 1995. "Long-term and short-term price memory in the stock market," Economics Letters, Elsevier, vol. 49(3), pages 287-293, September. [Downloadable!] (restricted)
  2. Greene, Myron T. & Fielitz, Bruce D., 1977. "Long-term dependence in common stock returns," Journal of Financial Economics, Elsevier, vol. 4(3), pages 339-349, May. [Downloadable!] (restricted)
  3. Cheung, Yin-Wong & Lai, Kon S., 1995. "A search for long memory in international stock market returns," Journal of International Money and Finance, Elsevier, vol. 14(4), pages 597-615, August. [Downloadable!] (restricted)
  4. Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, vol. 59(5), pages 1279-313, September. [Downloadable!] (restricted)
    Other versions:
Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. 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. [Downloadable!]
  2. Ozun, Alper & Cifter, Atilla, 2007. "Modeling Long-Term Memory Effect in Stock Prices: A Comparative Analysis with GPH Test and Daubechies Wavelets," MPRA Paper 2481, University Library of Munich, Germany. [Downloadable!]
    Other versions:
  3. Mattarocci, Gianluca, 2006. "Market characteristics and chaos dynamics in stock markets: an international comparison," MPRA Paper 4296, University Library of Munich, Germany, revised Jun 2006. [Downloadable!]
  4. John Barkoulas & Christopher F. Baum, 1996. "Fractional Differencing Modeling and Forecasting of Eurocurrency Deposit Rates," Boston College Working Papers in Economics 317., Boston College Department of Economics. [Downloadable!]
    Other versions:
  5. Turvey, Calum G. & Power, Gabriel, 2006. "The Confidence Limits of a Geometric Brownian Motion," 2006 Annual meeting, July 23-26, Long Beach, CA 21239, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association). [Downloadable!]
  6. Jussi Tolvi, 2003. "Long memory in a small stock market," Economics Bulletin, Economics Bulletin, vol. 7(3), pages 1-13. [Downloadable!]
  7. John Barkoulas & Christopher F. Baum, 1996. "Fractional Dynamics in Japanese Financial Time Series," Boston College Working Papers in Economics 334., Boston College Department of Economics. [Downloadable!]
    Other versions:
  8. John Barkoulas & Christopher F. Baum, 1997. "Long Memory and Forecasting in Euroyen Deposit Rates," Boston College Working Papers in Economics 361, Boston College Department of Economics. [Downloadable!]
Statistics
Access and download statistics

Did you know? Over 1000 institutions contribute their bibliographic data directly to this service.

This page was last updated on 2009-12-23.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.