DocumentCode
509417
Title
Do Aluminum Future Returns Have Long Memory?
Author
Zheng, Feng ; Cheng, Xia
Author_Institution
Sch. of Econ. & Manage., North China Univ. of Technol., Beijing, China
Volume
3
fYear
2009
fDate
26-27 Dec. 2009
Firstpage
50
Lastpage
53
Abstract
This study examines the long memory behavior in the aluminum future returns using the rescaled range technique. The rescaled range technique is robust to detect the long-term dependence and non-period cycle in aluminum data. Our empirical results suggest that the long memory behavior in aluminum future returns is very stable. It means that the aluminum future returns follow a biased random walk. That is, they tend to trend in one direction until some exogenous event occurs to change their bias. The result of long memory and non-period cycle analysis provides new approaches for assessing the behavior of aluminum future prices.
Keywords
aluminium industry; forecasting theory; random processes; time series; aluminum data; aluminum future return; biased random walk; long memory behavior; nonperiod cycle analysis; rescaled range technique; Aluminum; Data analysis; Econometrics; Finance; Fractals; Macroeconomics; Memory management; Performance analysis; Robustness; Time series analysis; Aluminum future; Rescaled Range Analysis; long memory; none-period cycles;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-0-7695-3876-1
Type
conf
DOI
10.1109/ICIII.2009.322
Filename
5370288
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