MGPraxis6,400 papers identified by name

Multilayer Perceptron Neural Network Models in Asset Pricing: An Empirical Study on Large-Cap US Stocks

Shanyan Lai·2026

“The main findings were evaluated from 2 angles: model predictive power and backtesting performance, which were compared for the periods with and without COVID-19.”

AssetEquities
StrategyFactor investing
TechniqueFeedforward networklinear factor model
GeographyUS

Also stated: Annual

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 assets200020052010152015131620201632This paper2026■ equities■ bonds and credit■ multi-asset■ volatility and options■ other assets2000200520101520151316202032This paper2026
The family is counted across the whole universe. Asset, method and authors are counted inside the family.
Similar paperscitationsame methodsame assetsame authors
A Common Rough Latent State in Conditional Factor Pricing: Rethinking the Fama-French Five-Factor Model by Kamdem2026
Welcome to the Factor Zoo: Where Mutual Fund Alpha Hides by Malakhov2026
The Efficient Cross-Section is Sparse: Factor Timing and the Dimension of the SDF by Mehrabinia2026
From Causal Factor Investing to Causal Factor Discovery: Evolving a Neuro-symbolic World Model of the Market by Yuksel2026
Taming the Chinese ETF Option Factor Zoo: A Sparse Five-Factor Approach by Ding et al.2026
Not yet audited by MarketGraphs Praxis. Tags from the abstract. Counts from the universe.
RSS · Contacts