TradeLabs AILearn

Factor Models

Factor models explain asset returns with common drivers such as the market, size, value and momentum. Learn CAPM, Fama French and how to run a factor regression.

Advanced3 min readUpdated 3 Oct 2026
Markdown
Lesson 22 of 34

A factor model explains the returns of stocks, funds or strategies with a small number of common drivers, called factors. Instead of treating each of thousands of stocks as unique, it says most of their movement comes from shared influences: the overall market, company size, valuation, momentum, industry, interest rates and so on. Factor models are used to measure true alpha, understand where risk comes from, build portfolios and hedge unwanted exposures. They sit at the heart of modern quantitative investing and risk management.

The general form#

Excess return = Alpha + Beta1 × Factor1 + Beta2 × Factor2 + ... + Error
  • Betas (factor loadings): how sensitive the asset is to each factor.
  • Factors: the returns of the common drivers.
  • Alpha: the return left unexplained.
  • Error: the asset specific part, which diversifies away in large portfolios.

Well known factor models#

ModelFactorsYear
CAPMMarket1960s. See Alpha and Beta
Fama French three factorMarket, size (SMB), value (HML)1993
Carhart four factorAdds momentum1997. See Momentum Factor
Fama French five factorMarket, size, value, profitability (RMW), investment (CMA)2015
Commercial risk modelsDozens of style, industry and country factorsUsed by institutions

SMB stands for small minus big and HML for high minus low book to market. Factor return data for these models is published free on Kenneth French's website at Dartmouth. See Size Factor and Value Factor.

Types of factor models#

TypeFactors come fromExample
MacroeconomicEconomic seriesGDP growth, inflation, interest rate changes
FundamentalCompany characteristicsSize, value, quality, momentum
StatisticalPatterns in returns themselvesPrincipal component analysis

Running a factor regression#

Uses of factor models#

UseHow
Measuring alphaSeparate skill from factor exposure
Risk decompositionSee how much risk comes from each factor. See Risk Contribution and Risk Decomposition
Portfolio constructionTarget or neutralise specific exposures. See Portfolio Construction
HedgingRemove unwanted market or sector exposure. See Hedging
Performance attributionExplain past returns by source. See P&L and Performance Attribution
Covariance estimationEstimate correlations of thousands of stocks from a few factors

Factor covariance matrices#

Estimating correlations directly between 3,000 stocks requires about 4.5 million pairwise values, far more than the data can support reliably. A factor model with, say, 20 factors only needs the factor covariances, each stock's loadings and its specific risk. This produces more stable risk estimates. See Covariance and Correlation.

Limitations#

Frequently asked questions#

What is a factor model?#

A model that explains asset returns using a few common drivers, such as the market, size, value and momentum, plus an asset specific remainder.

What is the Fama French three factor model?#

A model explaining stock returns with the market, a size factor (small minus big) and a value factor (high minus low book to market).

Why do factor models matter for investors?#

They show whether returns come from skill or from known exposures that can be obtained cheaply, and they help measure and control risk.

Next, learn how to keep a portfolio on target in Rebalancing.

Check your understanding

3 quick questions on this lesson. Get them all right to finish it.

Turn on JavaScript to take the quiz.

Finished this lesson?Sign in to save your progress across devices.
Next lessonRebalancingRebalancing brings a portfolio back to its target weights after markets move. Learn calendar and threshold rebalancing, costs, taxes and the rebalancing premium.

Mentioned in