MGPraxis6,400 papers identified by name

Can a Machine Learn from Behavioral Biases? Evidence from Stock Return Predictability of Deep Learning Models

Suk Joon Byun, Sangheum Cho, Da‐Hea Kim·2022

“These results suggest that deep learning models with nonlinear structures are useful for capturing mispricing induced by behavioral biases.”

AssetEquities
StrategyMachine learningevent-driven strategies
TechniqueFeedforward network
Long/shortLong-short

Also stated: Fundamentals, Text and news

Missing from abstract: benchmark, out-of-sample test, costs, multiple testing, universe

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The paper's neighbourhoodMachine learning return prediction by year
■ equities■ crypto■ commodities■ bonds and credit■ other assets20102015202016This paper2022622026■ equities■ crypto■ commodities■ bonds and credit■ other assets2010201516This paper2022622026
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