Physics – Data Analysis – Statistics and Probability
Scientific paper
2008-05-15
Physica A 388, 1696-1705 (2009)
Physics
Data Analysis, Statistics and Probability
17 pages, 10 figures; a section on financial data has been added
Scientific paper
10.1016/j.physa.2008.12.062
The estimation of the correlation between time series is often hampered by the asynchronicity of the signals. Cumulating data within a time window suppresses this source of noise but weakens the statistics. We present a method to estimate correlations without applying long time windows. We decompose the correlations of data cumulated over a long window using decay of lagged correlations as calculated from short window data. This increases the accuracy of the estimated correlation significantly and decreases the necessary efforts of calculations both in real and computer experiments.
Kertesz Janos
Toth Bence
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