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News/Interpretable Deep Learning for Stock Returns: A Consensus-Bottleneck Asset Pricing Model
arxiv
PublishedApril 27, 2026 at 4:00 AM
—neutral

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

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arXiv:2512.16251v5 Announce Type: replace-cross Abstract: We introduce the Consensus-Bottleneck Asset Pricing Model (CB-APM), which embeds aggregate analyst consensus as a structural bottleneck, treating professional beliefs as a sufficient statistic for the market's high-dimensional information set

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