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Coherent and random sequences in financial fluctuations

N. Vandewalle and Marcel Ausloos ()

Physica A: Statistical Mechanics and its Applications, 1997, vol. 246, issue 3, 454-459

Abstract: The detrended fluctuation analysis (DFA) is used to sort out temporal correlations in financial data. Its usefulness for the investigations of long-range power-law correlations in economic sequences is shown. Our findings of persistent and antipersistent sequences are suprisingly similar to those for DNA sequences which appeared as a mosaic of coding and non-coding patches.

Keywords: Econophysics; Brownian motion; Time series (search for similar items in EconPapers)
Date: 1997
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DOI: 10.1016/S0378-4371(97)00366-X

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Handle: RePEc:eee:phsmap:v:246:y:1997:i:3:p:454-459