MGPraxis6,400 papers identified by name

Getting the Target Right in Return Prediction

Nusret Cakici, Adam Zaremba·2026

“Using a large international panel of equities from 35 markets over 1994 to 2024, we compare transformations applied to stock characteristics and target returns.”

AssetEquities
StrategyMachine learning
GeographyGlobal
Sample window1994–2024

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 assets2010201520201862This paper2026■ equities■ crypto■ commodities■ bonds and credit■ other assets20102015202062This paper2026
The family is counted across the whole universe. Asset, method and authors are counted inside the family.
Similar paperscitationsame methodsame assetsame authors
Machine Learning vs. Economic Restrictions: Evidence from Stock Return Predictability by Avramov et al.2023
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Spatiotemporal Signals in Residuals: A Two-Stage Boosting Graph Neural Network for Stock Return Prediction by Liu et al.2026
The Momentum Effect in Country-Level Stock Market Anomalies by Zaremba2019
Machine Learning for Cross-Sectional Return Prediction: A Comparative Study of US and Indian Equities by Khatu2026
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