The Distribution of Stock Returns: New Evidence against the Stable Model
Amy Hing-Ling Lau,
Hon-Shiang Lau and
John R Wingender
Journal of Business & Economic Statistics, 1990, vol. 8, issue 2, 217-23
Abstract:
We present a simple but effective procedure for determining whether a reasonably large sample comes from a stable population against the alternative that it comes from a population with finite higher moments. The procedure uses the fact that a stable population sample has moments of the fourth and sixth order whose magnitudes increase very rapidly as the sample size increases. This procedure shows convincingly that stock returns, when taken as a group, do not come from stable populations. Even for individual stocks, our results show that the stable-population-model null hypothesis can be rejected for more than 95 percent of the stocks.
Date: 1990
References: Add references at CitEc
Citations: View citations in EconPapers (30)
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:bes:jnlbes:v:8:y:1990:i:2:p:217-23
Ordering information: This journal article can be ordered from
http://www.amstat.org/publications/index.html
Access Statistics for this article
Journal of Business & Economic Statistics is currently edited by Jonathan H. Wright and Keisuke Hirano
More articles in Journal of Business & Economic Statistics from American Statistical Association
Bibliographic data for series maintained by Christopher F. Baum ().