Efficient Markets and Factors
The efficient market hypothesis, its critics, well-known anomalies and factors such as value, size, momentum and quality – what research says about whether you can beat the market.
Key takeaways
- The efficient market hypothesis says prices quickly reflect available information. Beating the market systematically is then very hard.
- The evidence is strong – most active funds fail to beat their index over the long run. But markets aren’t perfectly efficient – there are bubbles and anomalies.
- Factors such as value, size, momentum and quality explain much of the difference in returns between stocks.
- Whether factor premiums reward risk or human error is debated. They swing a lot and can vanish for years.
- True alpha – excess return not explained by factors – is rare.
Can you beat the market? Investors, fund managers and academics have wrestled with that question for decades. Research gives a more nuanced answer than either camp usually admits – with very practical consequences for how you should invest.
The efficient market hypothesis
In the 1960s, economist Eugene Fama formulated the efficient market hypothesis (EMH). Its core claim: in an efficient market, prices reflect all available information. New information is priced in so quickly that nobody can profit from it systematically.
Fama distinguished three forms:
| Form | What’s in the price | Implication |
|---|---|---|
| Weak | all past prices | technical analysis brings no systematic edge |
| Semi-strong | all public information | analysing public data brings no systematic edge |
| Strong | all information, including insider knowledge | even insiders can’t win |
The strong form is plainly false – insider trading is illegal precisely because it works. The weak and semi-strong forms are still debated.
Evidence for efficient markets
- Active funds rarely beat their index: as covered in Module 2, around 85–90% of active stock funds trail their benchmark after costs over 15 years.
- Success rarely persists: funds that are top performers in one period seldom repeat in the next.
- Prices react instantly: earnings and takeover news are priced in within seconds.
The critics: bubbles and anomalies
Robert Shiller showed that stock prices swing far more than subsequent dividends would justify – a sign of overreaction. Bubbles like the dot-com mania are hard to square with perfectly efficient markets. Then there are anomalies: recurring return patterns that shouldn’t exist in theory.
In 2013, Fama and Shiller – together with Lars Peter Hansen – shared the Nobel Prize for their empirical analysis of asset prices. The message: in the short run prices are barely predictable, but over longer periods there are some patterns – for example, very high valuations tend to mean lower future returns.
Factors: the building blocks of returns
Since the 1990s, research has examined characteristics associated with higher returns, known as factors.
| Factor | Idea | Key study |
|---|---|---|
| Market | stocks earn more than safe assets | CAPM (Sharpe, 1964) |
| Value | cheap stocks beat expensive ones | Fama/French (1992/93) |
| Size | small companies beat large ones | Banz (1981), Fama/French |
| Momentum | recent winners keep winning | Jegadeesh/Titman (1993), Carhart (1997) |
| Profitability/quality | profitable, solid firms beat weak ones | Novy-Marx (2013), Fama/French (2015) |
| Low risk | low-volatility stocks deliver more per unit of risk | Frazzini/Pedersen (2014) |
In 1993 Fama and French built a three-factor model of market, size and value that explains much of the difference in returns between stock portfolios; in 2015 they extended it to five factors, adding profitability and investment.
Risk or mistakes?
Why should factor premiums exist? Two explanations compete:
- Risk: value and small companies are often weaker and suffer badly in crises. The higher return would be fair compensation for extra risk – and would persist.
- Behaviour: investors overreact, extrapolate trends and shun boring stocks. The premium would stem from human error and might fade once enough investors exploit it.
The truth probably lies in between – and differs by factor.
Alpha and beta
This changes the question of what a fund manager actually delivers:
- Beta is the return from moving with the market – cheaply available through an index fund.
- Factor returns can now also be captured cheaply through factor ETFs (smart beta).
- Alpha is only the part of the return that market and factors can’t explain – genuine skill.
Many active funds that did well owed their success to factor tilts, such as a preference for small or cheap stocks. Persistent alpha after costs is very rare.
What it means for you
Summary
Markets are efficient enough that most active investors fail to beat them after costs, but not so perfect that bubbles and anomalies don’t exist. Factors such as value, size, momentum and quality explain much of the variation in returns but swing a lot. Genuine alpha is rare. The index fund isn’t surrender – it’s a choice well grounded in science.
Time to practise
11 short exercises on this lesson – mistakes come back at the end. Then the lesson is complete and joins your review queue.
Test your knowledge
0/301What does the semi-strong form of the efficient market hypothesis say?
02Why did Eugene Fama and Robert Shiller share the 2013 Nobel Prize, despite disagreeing on much?
03What is the value factor?