FORECASTING COHERENT VOLATILITY BREAKOUTS
The paper develops an algorithm for making long-term (up to three months ahead) predictions of volatility reversals based on long memory properties of financial time series. The approach for computing fractal dimension using sequence of the minimal covers with decreasing scale (proposed in [1]) is u...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
Government of the Russian Federation, Financial University
2017-10-01
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| Series: | Финансы: теория и практика |
| Subjects: | |
| Online Access: | https://financetp.fa.ru/jour/article/view/109 |
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