What is Factor Investing?

Understanding factor investing, its evolution, and how to use factors to build a diversified, high-performing portfolio.

1Definition and Context

Factor investing is a strategy that selects securities based on characteristics ("factors") associated with historically superior returns. In practice, a diversified portfolio is built following fixed rules (e.g., favoring small companies or those with a low price/book ratio). The goal is to obtain a factor premium, which is an average excess return compared to the market, by exploiting the risk factors that drive returns. In finance, this approach stems from the extensions of the CAPM: originally, the CAPM predicted that the expected return depended only on exposure to the market (β factor), while subsequent models add other empirically validated over decades of academic research, particularly in US and developed markets data.

Key Insight:

Factor investing allows investors to target specific drivers of return and risk, moving beyond traditional asset class diversification.

2Evolution of Pricing Models

The CAPM (Capital Asset Pricing Model) of the 1960s is a one-factor model: the expected premium of an asset is proportional to its market β. In other words, those with β=2 obtain (on average) twice the market risk premium. Already in the CAPM model, it was understood that those who have a high exposure to market risk (high β) should receive a higher return in exchange.

In 1993, Fama and French introduced a 3-factor model that expands the CAPM by adding size and value. The empirical idea was that small companies (small cap) have historically had higher returns and that "value" stocks (low price/book value) outperform "growth" stocks. Therefore, in addition to the market, the return difference of Small minus Big (SMB) and High minus Low (HML) portfolios is considered to capture these historical anomalies.

In 2015, Fama and French proposed a 5-factor model, adding two new quality factors: profitability and investment. In practice, they select the most profitable companies (high operating profitability) and those that invest less in total assets. The data show that companies with high profitability tend to outperform, while those that increase their investment significantly (high asset growth) have below-average returns. These two factors are often summarized as "quality" factors in investing.

3The Five Main Factors

Market (β)

Represents systematic exposure to overall stock returns. A β > 1 implies greater sensitivity to the market. The "market premium" is the extra return required to bear systematic risk compared to a low-risk security.

Size (SMB)

Measures the return differential between small caps and large caps. Historically, small companies have yielded more, possibly due to higher risk or less market attention.

Value (HML)

Captures the differential between undervalued stocks (high book-to-market) and others. "Value" stocks tend to outperform "growth" stocks, possibly due to risk or price corrections.

Profitability (RMW)

Represents the quality effect on profits: companies with high operating profitability achieve superior returns. The "profitability" factor measures, for example, those with high ROE and stable accounts.

Investment (CMA)

Measures how much a company increases its assets. Companies that invest heavily tend to achieve lower returns, possibly due to exhausted opportunities or market preferences for capital efficiency.

4Example (CAPM Calculation)

CAPM Example

If the risk-free rate is 1%, the expected market return is 7%, and a stock has β=2, according to the CAPM, the expected return is:

R = 1% + 2 × (7% − 1%) = 13%

If we then add the Fama-French factors, we would have formulas like the following.

5Formulas of Multifactor Models

CAPM: Ri = Rf + βi(RM - Rf)
3-Factor: Ri − Rf = αi + βi(RM − Rf) + si SMB + hi HML + ϵi
5-Factor: Ri − Rf = αi + βi(RM − Rf) + si SMB + hi HML + ri RMW + ci CMA + ϵi
Where α is the intercept, β is the market loading, s, h, r, c are the factor loadings, and ϵ is the error term.

Although α (the intercept) appears in the formula, in theory it should be zero: this would mean that the asset's return is fully explained by its exposures to the risk factors.

However, when α ≠ 0, it signals that the model does not fully capture the return of the asset. This could indicate:

  • a genuine market inefficiency (unexplained excess return),
  • a manager's skill (in the case of a fund),
  • or a model misspecification (missing relevant factors or incorrect assumptions).

In modern finance, a large part of what was once considered "alpha" is now understood to be factor exposure—meaning returns attributed to, say, size or value, rather than true outperformance.
The more comprehensive the model (e.g., from CAPM to 3- or 5-factor), the smaller the unexplained α tends to become.

6Factor Premium and Investing in Factors

The factor premium is defined as the additional return obtained from exposure to a specific risk factor. In practice, it is the historical average of the extra results of strategies based on a factor compared to the general market trend. For example, if a portfolio based on value stocks yields an average of 1% more per year than the overall market, it is said that the Value factor has a premium of 1%.

Investing in factors means strategically building the portfolio to have exposure to the desired factors. Instead of aiming for a generic index (e.g., broad stock index), securities (or ETFs) that emphasize a given characteristic are chosen. For example, a "Value" ETF selects stocks with below-average fundamentals, while a "Quality" ETF favors profitable companies. This approach serves to improve diversification and to obtain generally superior returns in the long term, exploiting empirically effective factors.

7Alpha and Multifactor Models

Alpha is the "extra" return (positive or negative) of a security or portfolio compared to what is predicted by a pricing model (e.g., CAPM). In practice, if a portfolio obtains more (or less) than the expected return from CAPM, that excess is the α. Traditionally, α was interpreted as a measure of manager skill or market inefficiencies. However, much of that so-called α is now explained by exposure to additional factors in multifactor models. In other words, an "anomalous" return compared to the CAPM can simply be due to the presence of a large positioning on size, value, quality factors, etc. Using models with more factors (3 or 5 factors), the residual α is reduced, because the model explains more return variation than the simple CAPM.

8Real Examples for European Investors

UCITS factor ETFs are accessible tools to apply these strategies in Europe. For example:

  • Size – ETFs on European small caps. There are funds such as the Xtrackers MSCI Europe Small Cap UCITS ETF or the SPDR MSCI Europe Small Cap Value Weighted UCITS ETF, which replicate MSCI indices dedicated to small caps. These ETFs overweight low capitalization companies (size factor).
  • Value – ETFs on European value stocks. For example, the iShares MSCI Europe Value Factor UCITS ETF and the Amundi MSCI Europe Value Factor UCITS ETF follow indices with low P/B stocks. These funds aim to capture the value premium by containing undervalued stocks.
  • Quality/Profitability – ETFs on profitable stocks. For the quality factor (which reflects company profitability), there are ETFs such as the iShares MSCI Europe Quality Factor UCITS ETF or the Amundi MSCI Europe Quality Factor UCITS ETF. These select companies with high ROE and stable earnings.
  • Investment/Conservative – ETFs on "conservative" stocks. The iShares MSCI Europe Conservative Factor UCITS ETF, for example, invests in companies with low asset growth, in line with the investment factor (CMA).
  • Multi-factor – ETFs that combine multiple factors. There are also "smart beta" ETFs that follow multifactor indices (for example, the iShares STOXX Europe Equity Multifactor UCITS ETF), simultaneously diversifying across size, value, quality, momentum, etc.

These examples illustrate how, through UCITS ETFs available in Europe, an investor can obtain selective exposure to various factors. Each fund mentioned allows exposing the portfolio to a specific rewarding risk factor, in line with one's investment profile.

ETF Examples by Factor

Market (β)

Broad market exposure

ETF NameISIN
iShares Core S&P 500 UCITS ETFIE00B5BMR087
SPDR S&P 500 UCITS ETFIE00B6YX5C33
Xtrackers S&P 500 Swap UCITS ETFLU0490618542

Size (SMB)

Small minus big

ETF NameISIN
iShares MSCI Europe Small Cap UCITS ETFIE00B1YZSC51
SPDR MSCI Europe Small Cap Value Weighted UCITS ETFIE00BSPLC413
Xtrackers MSCI Europe Small Cap UCITS ETFIE00BGHQ0G80

Value (HML)

High minus low book-to-market ratio

ETF NameISIN
iShares MSCI Europe Value Factor UCITS ETFIE00BQN1K901
Amundi MSCI Europe Value Factor UCITS ETFLU1681042518

Profitability (RMW)

Robust minus weak operating profitability

ETF NameISIN
iShares MSCI Europe Quality Factor UCITS ETFIE00BQN1K562
Amundi MSCI Europe Quality Factor UCITS ETFLU1681041890

Investment (CMA)

Conservative minus aggressive investment

ETF NameISIN
to be found-

Related Financial Terms