MGPraxis6,400 papers identified by name

Machine-Learning the Skill of Mutual Fund Managers

Ron Kaniel, Zihan Lin, Markus Pelger, Stijn Van Nieuwerburgh·2021

“Fund momentum and fund flow are the most important predictors of future risk-adjusted fund performance, while characteristics of the stocks that funds hold are not predictive.”

AssetEquitiesfunds
StrategyMomentumnews sentiment
TechniqueFeedforward network
ClaimAlphaexcess return

Also stated: Long-short, Text and news

Missing from abstract: benchmark, out-of-sample test, costs, multiple testing, universe

Institutional-grade audit of this strategy.
£5 — Request the audit
  • Audit of the paper claims accounting for costs, luck, crises, originality, geography, etc.
  • Reproduction code integratable into Bloomberg, IBKR, etc.
  • Bias-free datasets for backtesting included
  • Delivered in 2 working days
The paper's neighbourhoodMomentum and trend following by year
■ equities■ commodities■ crypto■ multi-asset■ other assets2000200516201016201515This paper202123522026■ equities■ commodities■ crypto■ multi-asset■ other assets2000200516201016201515This paper2021522026
The family is counted across the whole universe. Asset, method and authors are counted inside the family.
Similar paperscitationsame methodsame assetsame authors
The Application of Dual-Denoised Momentum Factors in Portfolio Management: A Study of ChiNext Stocks for Retail Investors by Yi2025
Extracting Alpha from Financial Analyst Networks by Gorduza et al.2024
NoxTrader: LSTM-Based Stock Return Momentum Prediction for Quantitative Trading by Liu et al.2023
Spatio-Temporal Momentum: Jointly Learning Time-Series and Cross-Sectional Strategies by Tan et al.2023
Dissecting Momentum: We Need to Go Deeper by Borisenko2019
Not yet audited by MarketGraphs Praxis. Tags from the abstract. Counts from the universe.
RSS · Contacts