Factor Investing
Factor investing uses transparent selection and weighting rules to target characteristics such as value, momentum, size, quality, or low volatility.
Guides to factor models, factor investing, Fama-French data, exposures, attribution, implementation, and model limitations.
Factor models explain returns or risk through common drivers and estimated exposures. Factor investing turns selected exposures into portfolio rules. This branch separates the analytical model from the investable strategy so that historical explanation is not mistaken for a guaranteed premium.
Use this branch to identify a portfolio’s market and style exposures, evaluate performance attribution, inspect public factor data, or assess a systematic strategy’s construction and implementation costs.
| Term | Use it for |
|---|---|
| Factor Models | Return decomposition, factor exposure, common risk, residual risk, and attribution. |
| Factor Investing | Rules that deliberately target factors through security selection and weighting. |
| Fama-French Data Library | Public research series, construction notes, frequency choices, and historical archives. |
| Fama-French Three-Factor Model | Market, size, and value factor analysis relative to the single-market-factor CAPM. |
Check the factor definition, eligible universe, source data, formation date, weighting, rebalancing, regression window, benchmark, currency, turnover, capacity, and whether reported returns include fees and trading costs.
| Question | Factor model | Factor strategy |
|---|---|---|
| Primary purpose | Explain or forecast return and risk | Hold securities to obtain target exposures |
| Main output | Loadings, contributions, residuals, and risk estimates | Portfolio weights, trades, turnover, and realized returns |
| Main validation | Statistical fit, stability, residuals, and out-of-sample tests | Investability, costs, capacity, governance, and live results |
| Main failure risk | Misspecification and unstable estimates | Crowding, implementation shortfall, and factor underperformance |
This page is educational and does not recommend a specific investment strategy, security, tax treatment, or account choice.
Choose a subsection first. Deeper term pages live inside each subsection, which keeps large topic hubs readable.
Factor investing uses transparent selection and weighting rules to target characteristics such as value, momentum, size, quality, or low volatility.
Factor models decompose asset or portfolio returns into common drivers, estimated exposures, alpha, and residual risk for analysis and risk management.
The Fama-French Data Library publishes documented factor, portfolio, breakpoint, and research-return datasets for asset-pricing analysis.
The Fama-French three-factor model explains equity excess returns using market, size, and value factor returns plus alpha and residual return.