Browse Investing

Factor Models and Factor Investing

Factor investing, Fama-French, and factor-model terms used in systematic strategy design.

Factor Models and Factor Investing terms describe investment styles based on valuation, growth expectations, factor exposure, momentum, contrarian signals, and research process.

Use this branch when a style label changes screening criteria, expected return drivers, benchmark fit, valuation discipline, turnover, capacity, or due-diligence evidence.

Key Terms in This Branch

TermUse it for
Factor InvestingA style, factor, screening, or research-process term used in security selection.
Factor ModelsA style, factor, screening, or research-process term used in security selection.
Fama-French Data LibraryA term page that narrows this branch to a specific investing concept, evidence source, or decision point.
Fama-French Three-Factor ModelA style, factor, screening, or research-process term used in security selection.

What to Check

Check the screening rule, valuation input, growth assumption, factor exposure, benchmark, turnover, capacity, drawdown behavior, and whether the style is implemented consistently.

Common Mistakes

  • Assuming a style label explains performance by itself.
  • Ignoring valuation, factor exposure, turnover, capacity, and benchmark fit.
  • Calling a security cheap or high growth without checking the underlying assumptions.
  • Treating historical style success as a promise of future results.

This page is educational and does not recommend a specific investment strategy, security, tax treatment, or account choice.

In this section

Choose a subsection first. Deeper term pages live inside each subsection, which keeps large topic hubs readable.

Factor Investing

Factor investing targets measurable return drivers such as value, size, quality, momentum, volatility, or carry across securities.

Factor Models

Factor models explain asset returns using common risk or style drivers such as market beta, size, value, momentum, and quality.

Fama-French Data Library

The Fama-French Data Library provides factor return datasets widely used in asset-pricing research and portfolio analysis.

Revised on Sunday, June 21, 2026