Economics at your fingertips  

Long Term Dependence in Stock Returns

Christopher Baum () and John Barkoulas ()

No 314., Boston College Working Papers in Economics from Boston College Department of Economics

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.

Keywords: stock returns; long memory; fractal dynamics; spectral regression (search for similar items in EconPapers)
JEL-codes: G12 C14 (search for similar items in EconPapers)
Pages: 12 pages
Date: 1996-01-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (31) Track citations by RSS feed

Published, Economics Letters, 53:3, 253-259.

Downloads: (external link) (application/pdf)

Related works:
Journal Article: Long-term dependence in stock returns (1996) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this paper

More papers in Boston College Working Papers in Economics from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().

Page updated 2020-01-20
Handle: RePEc:boc:bocoec:314