Low-order variability diagrams for short-range correlation evidence in financial data: BGL-USD exchange rate, Dow Jones industrial average, gold ounce price
A method to sort out short-range correlations and decorrelations in financial data is tested on three typical sets: the Bulgarian Lev-USA Dollar (BGL/USD) exchange rate, the Dow Jones Industrial Average, the Gold ounce price. The method makes use of the so-called variability diagram technique. Three toys are used as models in order to understand features. Our findings indicate that some predictability can be found at short-range time intervals.
Year of publication: |
1999
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Authors: | Ivanova, K ; Ausloos, M |
Published in: |
Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 265.1999, 1, p. 279-291
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Publisher: |
Elsevier |
Subject: | Low-order variability diagrams | Short-range correlations and decorrelations | BGL-USD exchange rate | Dow-Jones industrial average | Gold ounce price |
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