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  1. Curriculum
  2. /Quantitative research
  3. /Alpha and signal research
  4. /Factor models

Factor models: CAPM, Fama–French and statistical factors

SIG · Chapter 4·12 min read·Asked at AQR, Two Sigma, Citadel, Point72

Assumes Constructing a signal: standardisation, neutralisation and combination.

After this lesson you should be able to

  • State what CAPM claims and what the evidence says.
  • Name the standard factors and the story behind each.
  • Distinguish fundamental from statistical factor models.

A factor model says that most of the variation in returns comes from a handful of common drivers, and that what is left is idiosyncratic. It matters twice over: as a risk model, telling you what you are exposed to, and as a benchmark, telling you whether your alpha is anything more than a known premium.

Equation 4.1

CAPM

Only market risk is compensated; idiosyncratic risk is diversifiable and earns nothing.

E[ri]−rf=βi(E[rm]−rf),βi=Cov(ri,rm)Var(rm)\mathbb{E}[r_i] - r_f = \beta_i\left(\mathbb{E}[r_m] - r_f\right), \qquad \beta_i = \frac{\mathrm{Cov}(r_i, r_m)}{\mathrm{Var}(r_m)}E[ri​]−rf​=βi​(E[rm​]−rf​),βi​=Var(rm​)Cov(ri​,rm​)​
β\betaβ
The regression slope on the market — exactly the one from the regression chapter.
α\alphaα
The intercept, which CAPM says should be zero for every asset.
01200.060.12CAPM: β × 6%What the data looks likeBetaExpected excess return
Figure 4.2 · What CAPM predicts, and what is observed. The predicted line goes through the origin; the fitted one is flatter and starts above it. Low-beta stocks earn more than they should and high-beta ones less — the observation that launched betting-against-beta, and the first evidence that one factor was not enough.

Proposition 4.3

What the evidence says

The core insight — that only undiversifiable risk should be paid — is sound and survives. The specific prediction does not: empirically the relationship between beta and return is much flatter than CAPM implies, and low-beta stocks have historically earned more than their beta justifies. That flatness is the *betting against beta* anomaly, and it is one of the better-documented effects in the field.

Holds when

  • A common explanation is leverage aversion: investors who want more return but cannot borrow buy high-beta stocks instead, bidding them up.
  • The residual from a CAPM regression is what every other factor model set out to explain.
FactorLong / shortThe story
MarketThe index over cashCompensation for undiversifiable risk
Size (SMB)Small over largeIlliquidity and distress risk; weak in recent decades
Value (HML)Cheap over expensiveRisk premium, or over-extrapolation of growth
Momentum (UMD)Recent winners over losersUnderreaction; crashes violently on reversals
Profitability (RMW)Profitable over notQuality, and a valuation identity
Investment (CMA)Conservative over aggressiveOver-investment destroys value
Table 4.4 · The standard factors. Momentum is the awkward one: it has the strongest evidence and the least comfortable story, and its returns are strongly negatively skewed — long quiet gains and occasional violent crashes.

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← Measuring a signal: IC, breadth and the fundamental lawRisk models: covariance estimation, VaR and expected shortfall →
On this page
  • CAPM
  • What CAPM predicts, and what is observed
  • What the evidence says
  • The standard factors

QuantMax · 141 lessons · 1342 questions · c5c0caa

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