Interpretable Deep Learning for Stock Returns: A Consensus-Bottleneck Asset Pricing Model

By Changeun Kim, Younwoo Jeong, Bong-Gyu Jang

Published 2026-04-24

Everscope rating

1742.3

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

4 / 5

About this paper

Methodology: Consensus-Bottleneck Asset Pricing Model (CB-APM). Problem types: Regression, Portfolio Optimization, Dimensionality Reduction, Multi-task Learning.

arXiv:2512.16251 · Paper rankings

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