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Supervised Similarity for Firm Linkages

arXiv 2506.19856 ↗First posted 9 Jun 2025q-fin.ST cs.LG quant-phcited by 0

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Abstract (arXiv)

We introduce a novel proxy for firm linkages, Characteristic Vector Linkages (CVLs). We use this concept to estimate firm linkages, first through Euclidean similarity, and then by applying Quantum Cognition Machine Learning (QCML) to similarity learning. We demonstrate that both methods can be used to construct profitable momentum spillover trading strategies, but QCML similarity outperforms the simpler Euclidean similarity.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 45 references that are in the map. First posted on arXiv 9 Jun 2025.

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  1. 2024Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learningcited by 6

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