Size and Value: The Classic Factor Premiums
Understand the size and value factors that revolutionized investing. Learn why small caps and cheap stocks have historically outperformed.
The Factors That Changed Everything
In 1992, Eugene Fama and Kenneth French published a paper that fundamentally changed how we understand stock returns. Their finding was simple but revolutionary: two characteristics—company size and valuation—explained stock returns far better than beta alone.
These are the "classic" factors, and understanding them is essential for any serious investor.
The Size Premium: Small Stocks Outperform
What the Evidence Shows
Historically, small-cap stocks have earned higher returns than large-cap stocks. This "size premium" or "SMB" (Small Minus Big) factor was one of the first anomalies documented in academic finance.
The pattern is straightforward: sort all stocks by market capitalization, compare the returns of the smallest versus the largest, and the small ones have typically won over long periods.
How big is the premium? In the original Fama-French data (1963-1991), small stocks outperformed large stocks by roughly 3% per year on average. That's substantial—it compounds dramatically over decades.
Why Might Small Caps Outperform?
Several explanations have been proposed:
Risk-based explanations:
- Small companies are riskier—more likely to go bankrupt, more sensitive to economic conditions
- Less diversified business models
- Higher leverage and financial fragility
- If small caps are genuinely riskier, higher returns are compensation, not a "free lunch"
Behavioral/market structure explanations:
- Less analyst coverage means more mispricing opportunities
- Institutional investors often can't hold small caps due to liquidity constraints
- Less information efficiency allows persistent mispricings
The distinction matters: if small-cap outperformance is risk compensation, you're paying for it with higher volatility and crash risk. If it's mispricing, you might be getting something for nothing—which shouldn't persist once discovered.
How to Access the Size Factor
For most investors, the practical way to gain small-cap exposure is through funds:
- Index funds/ETFs: Products like IWM (iShares Russell 2000), VB (Vanguard Small-Cap), or IJR (iShares Core S&P Small-Cap)
- Active small-cap funds: Some investors believe active management adds value in less efficient small-cap markets
The key choice is between broad small-cap exposure (like the Russell 2000) versus screens that add additional quality filters.
The Elephant in the Room: Recent Performance
Here's where we need to be honest. The size premium has been inconsistent—even absent—in recent decades.
From 2000-2023, small-cap stocks actually underperformed large-caps in many periods. The historical premium seems to have faded, at least in the US.
Several theories explain this:
- The premium was arbitraged away once widely known
- Survivorship bias in early data overstated the premium
- Quality matters: the size premium may only exist among higher-quality small caps
- Changing market structure (ETF growth, passive investing) altered small-cap dynamics
This doesn't mean the size factor is "dead," but expectations should be modest. The simple bet that small beats large hasn't worked reliably in recent decades.
The Value Premium: Cheap Stocks Outperform
What "Value" Means
A value stock is one that trades at a low price relative to some measure of fundamental worth—typically book value, earnings, or cash flow.
The classic measure is price-to-book ratio (P/B). Low P/B stocks are "cheap" or "value" stocks. High P/B stocks are "expensive" or "growth" stocks.
The value factor (HML: High Minus Low book-to-market) captures the return difference between cheap and expensive stocks.
The Historical Evidence
The value premium is one of the most robust findings in finance. Across nearly every time period, country, and asset class studied, cheap stocks have tended to outperform expensive ones.
In the original Fama-French data, value stocks outperformed growth stocks by roughly 5% annually. Other studies found similar premiums in international markets and even in bonds.
Why Might Value Stocks Outperform?
Two main explanations compete:
Risk-based explanation:
- Value stocks are cheap for a reason—they're often distressed companies, facing declining industries or financial difficulties
- Investing in struggling companies is risky; higher returns compensate for that risk
- Value stocks are more exposed to economic downturns
Behavioral explanation:
- Investors overreact to bad news, pushing prices too low
- People extrapolate recent poor performance too far into the future
- Glamorous growth stocks attract excessive enthusiasm, while boring value stocks are neglected
- The premium exists because of human psychology, not risk
The value vs. growth debate isn't just academic. If value is risk compensation, you're signing up for more pain in downturns. If it's behavioral, you're exploiting predictable human errors. The investment experience differs significantly.
Measuring Value: Beyond Price-to-Book
While price-to-book was the original value metric, practitioners use many measures:
| Metric | Formula | Advantage | |--------|---------|-----------| | Price-to-Book (P/B) | Market cap / Book value | Simple, traditional | | Price-to-Earnings (P/E) | Stock price / EPS | Focuses on profitability | | Price-to-Cash Flow (P/CF) | Market cap / Operating cash flow | Less manipulable than earnings | | Enterprise Value/EBITDA | EV / EBITDA | Accounts for capital structure | | Composite Value | Blend of multiple metrics | More robust signal |
Modern factor strategies often use composite measures, combining multiple valuation metrics to get a more robust value signal.
How to Access the Value Factor
Value investing can be implemented through:
- Value ETFs: VTV (Vanguard Value), IVE (iShares S&P 500 Value), RPV (Invesco S&P 500 Pure Value)
- Active value managers: Many traditional value investors like Warren Buffett essentially capture this factor
- Multi-factor funds: Products that combine value with other factors
"Pure" value funds (like RPV) have stronger value exposure than broad value funds (like VTV), but also more tracking error relative to the market.
Value's Lost Decade
Now for the uncomfortable truth: value significantly underperformed growth from approximately 2010 to 2020.
This wasn't a small gap. Growth stocks, led by technology giants, crushed value stocks for an entire decade. Investors who tilted toward value underperformed the market substantially.
What happened?
- Tech dominance: FAANG stocks (Facebook, Apple, Amazon, Netflix, Google) delivered exceptional returns while appearing "expensive" by traditional metrics
- Low interest rates: May have favored growth stocks with cash flows far in the future
- Intangible assets: Traditional book value doesn't capture software, brands, and network effects—making some "expensive" stocks actually reasonably valued
- Sector concentration: Value indices became heavily weighted toward financials and energy, while growth captured tech
This experience raises important questions:
- Was the value premium a historical artifact that's now arbitraged away?
- Is traditional value measurement broken in the digital economy?
- Was 2010-2020 just a bad draw that will mean-revert?
The 2020s Value Comeback
Value has partially recovered since late 2020. Rising interest rates, inflation concerns, and tech stock corrections have favored value stocks in many periods from 2021-2024.
Does this vindicate value investing? It's too early to say definitively. What's clear is that factors go through cycles, and patience is required.
Size + Value: The Fama-French Three-Factor Model
Fama and French's insight was combining size and value with the market factor into a comprehensive model:
Stock Return = α + β₁(Market) + β₂(Size) + β₃(Value)
Where:
- α (alpha) is the unexplained return
- β₁ is sensitivity to the market
- β₂ is sensitivity to the size factor
- β₃ is sensitivity to the value factor
This model explained far more of the variation in stock returns than CAPM alone. It became the standard framework for evaluating portfolio performance.
A fund that claims to beat the market might just have high size and value exposure. Once you account for these factors, the "alpha" often disappears.
Combining Size and Value: Small-Cap Value
The most aggressive factor bet combines both premiums: small-cap value stocks.
Historically, small-value has been the highest-returning segment of the stock market. But it's also experienced the worst drawdowns and longest periods of underperformance.
Products like VBR (Vanguard Small-Cap Value) or IJS (iShares S&P Small-Cap 600 Value) provide this exposure.
Small-cap value represents the intersection of two premiums. If you believe in both factors, it's the purest expression. If either premium has faded, it's concentrated risk. Know what you're buying.
Key Takeaways
- Size premium: Small stocks have historically outperformed large stocks, but this premium has weakened significantly in recent decades
- Value premium: Cheap stocks have historically outperformed expensive ones—one of the most robust findings in finance, though it suffered during 2010-2020
- Risk vs. behavioral: Both premiums may reflect compensation for risk or exploitation of human psychology—the debate continues
- Implementation matters: How you measure "value" and which small caps you own affects results
- Patience required: Factors can underperform for a decade or more; only long-term investors should tilt toward them
- Fama-French model: Combining market, size, and value explains far more of stock returns than beta alone
The size and value factors launched modern factor investing. They remain controversial—especially after value's difficult 2010s—but understanding them is essential for any investor thinking about systematic approaches to building portfolios.
This is the third article in our Factor Investing series. Continue with Modern Factors: Profitability, Momentum, and Low Volatility to explore the factors discovered after Fama-French.
For Educational Purposes Only
This analysis is not investment advice. Results are based on simplified models using historical data. Past performance does not guarantee future results. All investments carry risk of loss. Consult a qualified financial advisor before making investment decisions.