MGPraxis6,400 papers identified by name

Multi-Factor Timing with Deep Learning

Paul Cotturo, Fred Liu, Robert Proner·2024

“This dynamic multi-task neural network outperforms all benchmarks in terms of predictive accuracy and economic gains.”

AssetEquities
StrategyFactor investingmacro signals
TechniqueFeedforward network
ClaimExcess returnprofit

Also stated: Long-short

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 neighbourhoodFactor investing by year
■ equities■ bonds and credit■ multi-asset■ volatility and options■ other assets200020052010152015131620201626This paper2024322026■ equities■ bonds and credit■ multi-asset■ volatility and options■ other assets2000200520101520151316202026This paper2024
The family is counted across the whole universe. Asset, method and authors are counted inside the family.
Similar paperscitationsame methodsame assetsame authors
Multifactor Timing with Deep Learning by Cotturo et al.2026
A Deep Multi-Factor Framework for Cross-Sectional Stock Return Ranking via Market-State Attention Pooling by Wu and Liu2026
Multilayer Perceptron Neural Network Models in Asset Pricing: An Empirical Study on Large-Cap US Stocks by Lai2026
Factor Investing Lecture 9: Machine Learning in Factor Investing (Presentation Slides) by Shi2025
Deep Learning for Short Term Equity Trend Forecasting: A Behavior Driven Multi Factor Approach by Luan2025
Not yet audited by MarketGraphs Praxis. Tags from the abstract. Counts from the universe.
RSS · Contacts