Statistical arbitrage in the stock markets by the means of multiple time horizons clustering
Nowadays, statistical arbitrage is one of the most attractive fields of study for researchers, and its applications are widely used also in the financial industry. In this work, we propose a new approach for statistical arbitrage based on clustering stocks according to their exposition on common ris...
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Veröffentlicht in: | Neural computing & applications 2023-06, Vol.35 (16), p.11713-11731 |
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Sprache: | eng |
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