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Phase Distribution and Phase Correlation of Financial Time Series

Ming-Chya Wu, Ming-Chang Huang, Hai-Chin Yu () and Thomas Chiang ()
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Ming-Chang Huang: Chung Yuan University, Taiwan

Finance from EconWPA

Abstract: Scaling, phase distribution and phase correlation of financial time series are investigated based on the Dow Jones Industry Average (DJIA) and NASDAQ 10-minute intraday data for a period from Aug. 1 1997 to Dec. 31 2003. The returns of the two indices are shown to have nice scaling behaviors and belong to stable distributions according to the criterion of Levy's alpha stable distribution condition. A novel approach catching characteristic features of financial time series based on the concept of instantaneous phase is further proposed to study phase distribution and correlation. The analysis of phase distribution concludes return time series fall into a class which is different from other non-stationary time series. The correlation between returns of the two indices probed by the distribution of phase difference indicates there was a remarkable change of trading activities after the event of 911 attack, and this change persisted in later trading activities.

Keywords: Phase Distribution; High Frequency Data; Scaling Analysis; Levy Distribution; Stock Market; Frequency Variant (search for similar items in EconPapers)
JEL-codes: G (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ets and nep-rmg
Date: 2005-12-10
Note: Type of Document - pdf; pages: 20
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