AI RESEARCH
LambdaRankIC: Directly Optimizing Rank IC for Financial Prediction
arXiv CS.LG
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ArXi:2605.00501v1 Announce Type: new In financial predictions, the performance of machine learning models is often assessed by Rank IC, which is the Spearman rank correlation between the model predictions and the realized asset returns. Despite its wide adoption, most existing models are trained using regression losses or ranking objectives that may not align with Rank IC.