Comparison of Seasonal Anomalies across Major Equity Markets: A Note

Jack W Wilson and Charles P Jones

The Financial Review, 1993, vol. 28, issue 1, 107-15

Abstract: This paper reexamines the existence of seasonal anomalies in daily stock prices by integrating seasonal patterns into a single comprehensive model that captures the joint effects of seasonal variations for each of the three major markets. This model incorporates serial correlation and corrects for non-normality by using robust regression techniques. Serial correlation is found to be important, as is the day of the week and the January variable. Furthermore, the Tuesday after a Monday holiday is significant for two markets using the robust technique (but not ordinary least squares). Finally, the day-preceding-a-holiday effect is strongly significant. Copyright 1993 by MIT Press.

Date: 1993
References: Add references at CitEc
Citations: View citations in EconPapers (13)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
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: https://EconPapers.repec.org/RePEc:bla:finrev:v:28:y:1993:i:1:p:107-15

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0732-8516

Access Statistics for this article

The Financial Review is currently edited by Cynthia J. Campbell and Arnold R. Cowan

More articles in The Financial Review from Eastern Finance Association Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().