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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 macroec...
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| Format: | Thesis |
| Language: | English |
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Department of Statistical Sciences
2025
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