Joel Greenblatt and the Magic Formula
Joel Greenblatt is an investor and author who distilled decades of value investing experience into a deceptively simple formula: buy companies that earn high returns on their capital at cheap prices. His “Magic Formula” combines two metrics—earnings yield and return on invested capital—to create a quantitative screen that has influenced countless practitioners and revealed how much of successful investing is simply systematic discipline.
The Two Metrics: Earnings Yield and Return on Capital
Greenblatt’s insight begins with a question: If you want to make money in stocks, what should you look for? The answer, in his view, is twofold: companies that earn high returns on the capital they deploy, and companies that you can buy at a low price.
The first criterion is captured by return on invested capital (ROIC). A company earning 20% on every dollar of capital it uses is superior to one earning 5%, all else equal. ROIC measures how efficiently management converts shareholders’ money and reinvested earnings into profits. A high ROIC suggests a durable competitive advantage—a moat—because competitors cannot easily replicate that efficiency.
The second criterion is earnings yield—the inverse of the price-to-earnings ratio. A company trading at a P/E of 25 has an earnings yield of 4%; one trading at P/E of 10 has an earnings yield of 10%. Greenblatt argues that earnings yield is the return you receive as a shareholder, assuming earnings persist. Thus, a high earnings yield—a low P/E—offers better upside.
Most investors, Greenblatt observes, chase one or the other. Growth investors hunt for high-ROIC businesses but overpay, buying at P/E ratios of 40 or 50. Value investors hunt for low P/E stocks but often find ugly businesses with deteriorating returns. Greenblatt’s formula insists on both: high ROIC and low valuation.
The Screen: Simplicity as Strength
The Magic Formula is refreshingly mechanical. For each stock in a universe (initially the S&P 500, now any broad index):
- Rank all companies by ROIC (highest to lowest)
- Rank all companies by earnings yield (highest to lowest)
- For each company, sum the two rankings
- Buy the lowest combined ranking (i.e., the highest ROIC and highest earnings yield)
- Hold for one year, then rebalance
That is it. No judgment calls, no subjective “quality” assessments, no hunches about which CEO is brilliant. The simplicity is the point. Most investors fail not because they lack insight but because they lack discipline. They spot a cheap stock and convince themselves the market is irrational; they own a business with great returns and hold too long, overpaying as the market bids it up. The Magic Formula enforces a mechanical discipline: this month I buy the cheapest quality stocks; next year I sell and rebalance.
Greenblatt showed that from 1988 to 2004, a portfolio of stocks selected by this simple formula would have returned roughly 30% annualized—crushing the S&P 500’s 12% and nearly all active managers. He has emphasized that past performance is no guarantee, and the strategy has had periods of underperformance (notably the 2010s, when low-volatility and mega-cap growth dominated). But the point is proven: a systematic, emotionally neutral approach beats the vast majority of professionals who rely on intuition, market timing, and narrative hype.
Why It Works (And Why It Doesn’t Always)
Greenblatt himself is candid about the formula’s limitations. Markets are not perfectly inefficient. Over long periods, prices tend to reflect fundamentals. The formula works partly because it forces discipline—you sell winners (even good ones) and buy losers (even cheap ones)—which many investors cannot stomach. It works partly because high ROIC + low valuation is genuinely rare and attractive. And it works partly because the dataset and lookback period were limited; the formula’s outperformance has been more modest in recent decades.
The strategy struggles when growth stocks dominate and investors favor intangible value (brands, networks, technology) over tangible return on capital. During bubbles—dot-com, 2008-2009 credit crisis recovery, recent mega-cap tech dominance—systematic value screens often lag. Greenblatt accepts this. He argues that temporary underperformance is the price of discipline, and discipline is what separates long-term winners from crowd-followers.
Beyond the Formula: Behavioral Insights
Greenblatt’s broader contribution is instructional: he has shown that successful investing requires you to act against your natural instincts. Humans are biased toward recent winners (the stocks that have already surged); the formula tells you to sell them. Humans are afraid of recent losers; the formula tells you to buy them. Humans want to hold forever if they have a good story; the formula says rebalance annually.
His books, especially The Little Book That Beats the Market, are written for individual investors who lack the time or expertise for deep fundamental analysis. The message is: you do not need to become a part-time analyst. You do not need to outthink the market. You simply need to identify a few clear principles (buy good businesses cheap, then rebalance mechanically) and stick to them.
This democratization of investing—showing that a simple, transparent rule beats most professionals—has influenced the rise of systematic and factor investing. The Magic Formula is a ancestor of modern smart beta strategies, which select stocks based on quantitative metrics rather than active judgment.
Variations and Critiques
Since Greenblatt published the Magic Formula in 2005, numerous variations and refinements have emerged. Some add profitability metrics (operating margins, free cash flow). Others adjust for debt, capital intensity, or sector momentum. These tweaks often improve back-tested returns, but Greenblatt warns against over-optimization: the tighter you fit the formula to past data, the worse it may perform forward.
Critics point out that the formula can trap you in value traps—cheap, struggling businesses that never recover. A high earnings yield sometimes signals permanent competitive decline. A high ROIC can reflect temporary strength or accounting distortions. The formula does not distinguish between a moat that will last fifty years and one that will crumble in three. These are fair complaints. The Magic Formula is a screen, not a complete investment process. It identifies candidates; investors must still think.
Legacy and Accessibility
Greenblatt has been unusually transparent about his methods, publishing his spreadsheets and making calculation tools available free online. This openness—rare among professional investors—reflects his conviction that better-informed investors everywhere benefits markets. He has also emphasized teaching; his lectures and books prioritize clarity and accessibility over jargon.
The Magic Formula remains a touchstone in value investing education because it proves a philosophical point: that systematic, mechanically enforced discipline beats human judgment most of the time, and that simplicity often outperforms complexity. In an investment world crowded with quants, algorithms, and narrative-driven momentum plays, Greenblatt’s old-school message—buy good businesses cheap, then be patient—retains surprising power.
See also
Closely related
- Return on invested capital — The efficiency metric at the heart of the Magic Formula
- Earnings yield — The valuation anchor that pairs with ROIC
- Price-to-earnings ratio — The inverse metric Greenblatt uses as a screening tool
- Value investing — The discipline the Magic Formula automates
- Factor investing — A modern extension of Greenblatt’s systematic approach
- Seth Klarman and Distressed Value Investing — Another thinker emphasizing buying quality at discounts
Wider context
- Stock screening — The mechanical process Greenblatt refined
- Competitive advantage — The moat that ROIC reveals
- Free cash flow — An alternative profitability measure
- Capital allocation — A strategic lens on how return on capital emerges