Evolutionary Factor Searching for Sparse Portfolio Optimization Using Large Language Models
“In this work, we propose Evolutionary Factor Search, a framework that leverages large language models and evolutionary algorithms to automatically generate and evolve alpha factors for sparse portfolio construction.”
AssetEquities
StrategyNews sentimentportfolio optimization
TechniqueLarge language modelsymbolic search
GeographyUSEurope
Also stated: Alpha, Excess return, Fundamentals, Text and news
Missing from abstract: benchmark, out-of-sample test, costs, multiple testing, universe
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The paper's neighbourhoodNews sentiment and text signals by year
FamilyNews sentiment and text signals148Momentum and trend following289Factor investing240Machine learning return prediction15318 more · 854
AssetEquities97
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