EconPapers    
Economics at your fingertips  
 

INCREMENTS OF UNCORRELATED TIME SERIES CAN BE PREDICTED WITH A UNIVERSAL 75% PROBABILITY OF SUCCESS

D. Sornette () and J. V. Andersen
Additional contact information
D. Sornette: Laboratoire de Physique de la Matière Condensée, CNRS UMR6622 and Université de Nice-Sophia Antipolis, B. P. 71, Parc Valrose, 06108 Nice Cedex 2, France;
J. V. Andersen: Nordic Institute for Theoretical Physics, Blegdamsvej 17, DK-2100 Copenhagen, Denmark

International Journal of Modern Physics C (IJMPC), 2000, vol. 11, issue 04, 713-720

Abstract: We present a simple and general result that the sign of the variations or increments of uncorrelated times series are predictable with a remarkably high success probability of 75% for symmetric sign distributions. The origin of this paradoxical result is explained in details. We also present some tests on synthetic, financial and global temperature time series.

Keywords: Prediction; White Noise; Increments; Conditional Expectations; Stock Market (search for similar items in EconPapers)
Date: 2000
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183100000626
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:11:y:2000:i:04:n:s0129183100000626

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183100000626

Access Statistics for this article

International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann

More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-03-20
Handle: RePEc:wsi:ijmpcx:v:11:y:2000:i:04:n:s0129183100000626