Fama et modèle français à trois facteurs - KamilTaylan.blog
17 avril 2021 21:54

Fama et modèle français à trois facteurs

Qu’est-ce que le modèle à trois facteurs Fama et français?

Le Fama and French Three-Factor Model (ou le Fama French Model en abrégé) est un modèle de tarification des actifs développé en 1992 qui étend le modèle de tarification des actifs financiers (CAPM) en ajoutant des facteurs de risque de taille et de risque de valeur au facteur de risque de marché en CAPM. Ce modèle tient compte du fait que les actions de valeur et de petite capitalisation surclassent régulièrement les marchés. En incluant ces deux facteurs supplémentaires, le modèle s’ajuste à cette tendance à la surperformance, ce qui en fait un meilleur outil d’évaluation des performances des managers.

Points clés à retenir

  • Le modèle français à 3 facteurs de Fama est un modèle d’évaluation des actifs qui étend le modèle d’évaluation des immobilisations en ajoutant des facteurs de risque de taille et de risque de valeur aux facteurs de risque de marché.
  • Le modèle a été développé par les lauréats du prix Nobel Eugene Fama et son collègue Kenneth French dans les années 1990.
  • Le modèle est essentiellement le résultat d’une régression économétrique des cours historiques des actions.

La formule du modèle français Fama est:

How the Fama French Model Works

Nobel Laureate Eugene Fama and researcher Kenneth French, former professors at the University of Chicago Booth School of Business, attempted to better measure market returns and, through research, found that value stocks outperform growth stocks. Similarly, small-cap stocks tend to outperform large-cap stocks. As an evaluation tool, the performance of portfolios with a large number of small-cap or value stocks would be lower than the CAPM result, as the Three-Factor Model adjusts downward for observed small-cap and value stock out-performance.

The Fama and French model has three factors: size of firms, book-to-market values and excess return on the market. In other words, the three factors used are SMB (small minus big), HML (high minus low) and the portfolio’s return less the risk free rate of return. SMB accounts for publicly traded companies with small market caps that generate higher returns, while HML accounts for value stocks with high book-to-market ratios that generate higher returns in comparison to the market.

There is a lot of debate about whether the outperformance tendency is due to market efficiency or market inefficiency. In support of market efficiency, the outperformance is generally explained by the excess risk that value and small-cap stocks face as a result of their higher cost of capital and greater business risk. In support of market inefficiency, the outperformance is explained by market participants incorrectly pricing the value of these companies, which provides the excess return in the long run as the value adjusts. Investors who subscribe to the body of evidence provided by the Efficient Markets Hypothesis (EMH) are more likely to agree with the efficiency side.

What the Fama French Model Means for Investors

Fama and French highlighted that investors must be able to ride out the extra short-term volatility and periodic underperformance that could occur in a short time. Investors with a long-term time horizon of 15 years or more will be rewarded for losses suffered in the short term. Using thousands of random stock portfolios, Fama and French conducted studies to test their model and found that when size and value factors are combined with the beta factor, they could then explain as much as 95% of the return in a diversified stock portfolio.

Given the ability to explain 95% of a portfolio’s return versus the market as a whole, investors can construct a portfolio in which they receive an average expected return according to the relative risks they assume in their portfolios. The main factors driving expected returns are sensitivity to the market, sensitivity to size, and sensitivity to value stocks, as measured by the book-to-market ratio. Any additional average expected return may be attributed to unpriced or unsystematic risk.

Fama and French’s Five Factor Model

Researchers have expanded the Three-Factor model in recent years to include other factors. These include « momentum, » « quality, » and « low volatility, » among others. In 2014, Fama and French adapted their model to include five factors. Along with the original three factors, the new model adds the concept that companies reporting higher future earnings have higher returns in the stock market, a factor referred to as profitability. The fifth factor, referred to as investment, relates the concept of internal investment and returns, suggesting that companies directing profit towards major growth projects are likely to experience losses in the stock market.