MGPraxis6,400 papers identified by name

Uncovering Sparsity and Heterogeneity in Firm-Level Return Predictability Using Machine Learning

Theodoros Evgeniou, Ahmed Guecioueur, Rodolfo Prieto·2022

“Portfolios formed to exploit such group-varying predictions based on a parsimonious set of characteristics deliver economically meaningful returns with low turnover.”

StrategyMachine learning
TechniqueLinear factor model
FrequencyMonthly

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
The family is counted across the whole universe. Asset, method and authors are counted inside the family.
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