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Return Anomalies on the Nikkei: Are they Statistical Illusions?

Jonathan A. Batten
Hong Kong University of Science & Technology (HKUST) - Department of Finance

Craig Ellis
University of Western Sydney - School of Economics and Finance

Thomas Fetherston
University of Alabama at Birmingham


February 28, 2003


Abstract:     
This study investigates the sensitivity of the long-term return anomaly observed on the Nikkei stock index to sample and method bias using daily data from the period 3 January 1980 to 31 October 2000. Initially, the CUSUM statistic is employed to identify sub-periods of sign shifts in the mean returns. We find that the null hypothesis of no long-term dependence is accepted for the whole sample and every sub-period using the modified rescaled range test, but not using the classical rescaled adjusted range test. We conclude that researchers may inadvertently introduce sample and method bias into their studies of the time series properties of the Nikkei unless sample period and method are considered.

Keywords: Long-term dependence, Return Anomalies, CUSUM, Rescaled-range statistic, Hurst statistic

JEL Classifications: C49, F31, G15

Working Paper Series

Date posted: May 26, 2003 ; Last revised: May 26, 2003

Suggested Citation

Batten, Jonathan A., Ellis, Craig and Fetherston, Thomas A., Return Anomalies on the Nikkei: Are they Statistical Illusions? (February 28, 2003). Available at SSRN: http://ssrn.com/abstract=396680 or doi:10.2139/ssrn.396680


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Contact Information

Jonathan A. Batten (Contact Author)
Hong Kong University of Science & Technology (HKUST) - Department of Finance ( email )
Clear Water Bay, Kowloon Hong Kong
HOME PAGE: http://www.bm.ust.hk/fina/staff/jabatten.html
Craig Ellis
University of Western Sydney - School of Economics and Finance ( email )
Locked Bag 1797
Penrith South DC
Sydney NSW 1797 Australia
61-2-4620 3250 (Phone)
61-2-4626 3767 (Fax)
Thomas A. Fetherston
University of Alabama at Birmingham ( email )
Birmingham, AL 35294
United States
205-934-8860 (Phone)
205-975-6234 (Fax)
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