Factor Investing Explained
Factor investing targets traits linked to long run returns, such as value, momentum and quality. Learn the main factors, the evidence and how they are traded.
Factor investing is an approach that tilts portfolios toward characteristics, called factors, that research has linked to differences in long run returns. Instead of picking individual stocks for their own stories, factor investors buy many stocks that share traits such as being cheap, having strong recent performance or being highly profitable. Factors are used by quantitative hedge funds, large asset managers and smart beta ETFs, and they are the language professionals use to explain where returns come from.
The main factors#
| Factor | Idea | Lesson |
|---|---|---|
| Market | Stocks earn more than cash over time | Alpha and Beta |
| Value | Cheap stocks outperform expensive ones | Value Factor |
| Size | Small companies outperform large ones (historically, inconsistently) | Size Factor |
| Momentum | Recent winners keep outperforming recent losers | Momentum Factor |
| Quality and profitability | Profitable, stable, conservatively financed firms outperform | Quality and Profitability Factors |
| Low volatility | Less volatile stocks deliver better risk adjusted returns | Low Volatility and Defensive Factors |
| Carry | Higher yielding assets outperform lower yielding ones | Carry Factor |
| Liquidity | Less liquid assets earn a premium | Liquidity Factor |
| Investment | Firms that invest conservatively outperform aggressive investors | Growth and Dividend Factors |
A brief history#
| Year | Development |
|---|---|
| 1960s | CAPM: the market is the only priced factor |
| 1981 | Rolf Banz documents the size effect |
| 1992 to 1993 | Fama and French three factor model: market, size, value |
| 1993 | Jegadeesh and Titman document momentum |
| 1997 | Carhart adds momentum (four factor model) |
| 2013 to 2015 | Profitability and investment factors; Fama French five factor model |
See Factor Models.
Why might factors earn premiums?#
| Explanation | Idea |
|---|---|
| Risk based | Factors are compensation for bearing risks investors dislike, such as distress or crash risk |
| Behavioural | Investor biases (overreaction, underreaction, lottery seeking) create mispricing |
| Structural | Constraints such as leverage limits or benchmarks push investors toward certain assets |
The explanation matters: risk based premiums are more likely to persist; purely behavioural ones may be arbitraged away.
How factors are traded#
| Approach | Description |
|---|---|
| Long only tilts | Overweight high factor stocks within a long only portfolio (smart beta ETFs) |
| Long short factor portfolios | Buy high scoring and short low scoring stocks; pure factor exposure |
| Multi factor portfolios | Combine several factors for diversification. See Combining Signals |
| Factor timing | Vary exposure based on valuations or conditions; difficult in practice |
Factor performance is cyclical#
Factors can underperform for long periods. Value lagged growth for much of 2007 to 2020, one of its worst stretches on record, before rebounding strongly in 2021 and 2022. Momentum suffered a sharp crash in 2009. Investors who abandon factors during drawdowns often miss the recovery. See Recency Bias.
Risks and criticisms#
- Data mining: hundreds of "factors" have been published; many fail to replicate. See P-Hacking and Multiple Testing.
- Crowding: popular factors attract capital, lowering future returns. See Factor Timing, Crowding and Crashes.
- Costs: high turnover factors such as momentum can lose much of their premium to trading costs. See Signal Turnover, Breadth and Neutralization.
- Long drawdowns test investor discipline.
Frequently asked questions#
What is factor investing?#
An approach that builds portfolios around characteristics, such as value, momentum or quality, that research has linked to long run return differences.
What are the main investment factors?#
Market, value, size, momentum, quality or profitability, low volatility, carry and investment.
Do factors always work?#
No. Factors can underperform for many years, may be weakened by crowding and costs, and some published factors were never real.
Next, study the oldest factor in Value Factor.
Sources#
- Kenneth R. French, Data Library
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Mentioned in
- P-Hacking and Multiple TestingResearch and Backtesting
- Portfolio and Multi-Asset BacktestingResearch and Backtesting
- Combining SignalsResearch and Backtesting
- Signal Turnover, Breadth and NeutralizationResearch and Backtesting
- Size FactorResearch and Backtesting
- Low Volatility and Defensive FactorsResearch and Backtesting