The entropy as a tool for analysing statistical dependences in financial time series
The entropy is a concept which may serve to define quantities such as the conditional entropy and the mutual information. Using a novel algorithm for the estimation of the mutual information from data, we analyse several financial time series and demonstrate the usefulness of this new approach. The issues of long-range dependence and non-stationarity are discussed.
Year of publication: |
2000
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Authors: | Darbellay, Georges A ; Wuertz, Diethelm |
Published in: |
Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 287.2000, 3, p. 429-439
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Publisher: |
Elsevier |
Saved in:
Saved in favorites
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