The fractal structure in multinational stock returns
The essence of fractal analysis is seeking for a pattern that is independent of scale. This paper examines the existence of long-term memory in nine Asian stock markets together with US and UK indices using the modified rescaled-ranged (R/S) statistic. The modified R/S statistic is robust not only with respect to the normality assumption,but also to short-term autocorrelation. The data in the sample range from 1 January 1988 to 30 June 1992 and are arranged in daily, weekly and monthly returns. In most cases, the phenomenon of long-term memory is not found; hence the random walk hypothesis cannot be rejected.The UK market, however, exhibits some long-term memory for various data frequencies and lags. The result of this paper provides directions for future research.
Year of publication: |
1995
|
---|---|
Authors: | Huang, Bwo-Nung ; Yang, Chin |
Published in: |
Applied Economics Letters. - Taylor & Francis Journals, ISSN 1350-4851. - Vol. 2.1995, 3, p. 67-71
|
Publisher: |
Taylor & Francis Journals |
Saved in:
freely available
Saved in favorites
Similar items by person
-
Barboza, Gustavo, (2010)
-
A Note on Allen’s Arc Elasticity with Arithmetic, Geometric and Harmonic Means
Yang, Chin, (2012)
-
Yang, Chin, (2010)
- More ...