Fractal analysis revisited: The case of the US industrial sector stocks
Taro Ikeda ()
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Taro Ikeda: Graduate School of Economics, Kobe University
Economics Bulletin, 2017, vol. 37, issue 2, 666-674
Abstract:
In contrast to earlier studies of long memories, this paper indicates that most of the US industrial sector stocks have the long memories when we consider the structural changes for the Hurst exponents
Keywords: Fractal geometry; Hurst exponent; long memory (search for similar items in EconPapers)
JEL-codes: E3 G1 (search for similar items in EconPapers)
Date: 2017-04-09
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Persistent link: https://EconPapers.repec.org/RePEc:ebl:ecbull:eb-16-00854
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