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Showing 1 to 1 of 1 for “"nested block hierarchical financial market correlations"”.
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Representation learning for regime detection in financial markets
We investigate financial market regime detection from the perspective of deep representation learning of the causal (reflexive) information geometry underpinning complex (multi-scale) dynamical traded asset systems using an emergent hierarchical correlation structure to characterise evolving …