MGPraxis6,400 papers identified by name

Can Deep Neural Networks Outperform Fama-MacBeth Regression and Other Supervised Learning Approaches in Stock Returns Prediction With Asset-Pricing Factors?

Huei-Wen Teng, Yu-Hsien Li·2022

“Our analysis shows the benefit of employing neural networks, and deeper neural networks enjoy marginal improvements in terms of prediction.”

AssetEquitiessingle stocks
StrategyMachine learningmacro signals
TechniqueFeedforward networklinear factor model
ClaimExcess return

Also stated: out-of-sample test

Missing from abstract: benchmark, 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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