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
Link To Document :
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