Krest
See it live →
The Krest Test · Acquirer's Multiple
We took it to Krest.

It threw away half of the Magic Formula and did better. One number, no quality checks.

Tobias Carlisle took Greenblatt's famous formula, deleted the quality half, and kept only cheapness. On a decade of Indian data that stripped down screen beat the market by six points a year. And it did the one thing its more famous cousin could not.

Educational7 min readNifty 500 · 2016 to 2026
₹10 lakh, invested the cheap way in 2016
Growth of the portfolio · vs Nifty 500
Top decileTop 30Top 10Nifty 500

Ten years ago you put ₹10 lakh into the cheapest slice of the market, ranked by nothing but operating earnings yield, and rebuilt the list once a year. Today the top decile is worth about ₹59 lakh. The same money in a plain Nifty 500 index fund is around ₹38 lakh. That is roughly 20% a year against the market's 13.9%, a six point edge, from a screen so simple it fits on one line: buy what is cheap.

Greenblatt's Magic Formula famously used two numbers, cheapness and quality. Carlisle's bet was that the quality half is a distraction, and sometimes a tax. Strip it out, he argued, and you do just as well. In India, over this decade, he did better. But the return is the least interesting part. The interesting part is that the ranking actually worked.

Did buying cheap actually sort the winners?

This is the test most people skip. A ranking screen only earns its keep if the stocks it rates highly really do beat the ones it rates poorly. Sort every company into ten buckets by cheapness, from the dearest to the cheapest, and the returns should step up as you go. Here, remarkably, they do.

Return by how cheap the bucket was, dear to cheap
Full decade return a year · ten buckets · D10 = cheapest
Cheapest bucketNifty 500
The cheapest bucket earned the most, the dearest the least, in a clean staircase. Rank correlation with return: about −0.88, where −1 is a perfect sort and zero is a coin flip.

That number matters more than it looks. When we ran the two factor Magic Formula through the same test, its ranking was essentially random, a rank correlation near zero. Carlisle's single cheapness factor scored −0.88, a genuinely strong sort, with only three of nine steps out of order. Dropping quality did not just simplify the formula. It sharpened it. Cheapness, on its own, carried real information about what came next.

First you had to survive losing two thirds

So why isn't everyone rich off one line of arithmetic? Because the screen buys the unloved, and the unloved get more unloved before they turn. To keep that 20% you had to sit through a peak to trough fall of about 72%, nearly twice the index's, watching two rupees in three disappear and doing nothing. That is not a statistic on a chart. That is years of wondering whether you were a genius or a fool.

How far below its own peak it fell
Drawdown · top decile · vs Nifty 500
Acquirer's MultipleNifty 500
The cheap decile against its own running peak. The edge was real, but you paid for it in nerve.
20.0%
a year for the cheapest decile · the index made 13.9%
−72%
worst fall from the peak · the index fell −34%
−0.88
rank correlation · the cheapness sort genuinely worked

The 20% was really ten quite different years

A single headline number flatters a strategy this streaky. The honest way to read it is one bar for every month you might have begun, each one held the same length. Do that and the tidy 20% fans out into a spread wide enough to change your life, or end your patience, depending on nothing but timing.

Return by the month you happened to start
Each bar = one start date · held one year · top decile
Acquirer's MultipleNifty 500
Same screen, same rules. Begin in one month and you lost half your money in a year, begin a few months later and you nearly doubled it.

Over one year the outcomes ran from losing half your money to more than doubling it, and it beat the index in 57 of 100 starts. But stretch the hold and the picture steadies in a way the Magic Formula's never did. Over five years every single start date made money, the worst still up 4% a year, and it beat the index in 62% of runs. This is the profile of a real edge that needs time, not a lucky number that needs a good entry.

A basket built from the unwanted

Cheapness leads you to unglamorous places. The screen lived in commodities, energy and heavy industry, holding the same deep value names for years: Bombay Burmah, GHCL, ONGC, NMDC. Around seven in ten rupees sat in materials, energy and industrials, the cyclical, out of favour corners where cheap stocks gather. This is not a portfolio of household compounders. It is a basket of things nobody wanted, bought because nobody wanted them.

The stocks it kept buying
Share of yearly rebuilds each name survived
Where the money sat · average sector weight
By company size, share of the basket
The full teardown

The overview is the kind version. In the deep dive we ask what this "formula" really is once you strip the name off, how much of the edge is just a small cap tilt you could buy for a few basis points, and which market weather it needs to work. Short version: a cheap, rules based value tilt, and a demanding one.

Read the full teardown

Right idea. Iron stomach required.

This is not a case against the Acquirer's Multiple. It is close to the opposite. Carlisle's heresy held up: on this decade of Indian data the one number screen beat the market, and unlike its two factor cousin its ranking genuinely sorted good from bad. The catch is not the edge, it is the endurance. A 72% drawdown ends most people's discipline long before the strategy ends its recovery. The point of checking an idea like this is not to prove it wrong. It is to learn what holding it actually demands of you, so you find out before your money does.

So we took it to Krest, and ran it through the whole test.

KREST TESTED · RUN ON REAL HISTORY ·
Method mark
Krest Tested
We ran the Acquirer's Multiple through the test on a decade of Indian data, decile by decile. The rigour is ours; the verdict is yours.

Free · no account needed

Test before you trust.

Every figure on this page came from a few clicks on Krest. See this exact analysis live and interactive, or point the same test at any strategy you have ever believed.

For education only. Not investment advice or a recommendation to buy, sell, or hold any security, strategy, or product. Past performance does not guarantee future results, and all investing carries risk, including the possible loss of capital. Make your own decisions, and consider consulting a SEBI registered investment adviser.

Best effort analysis. Prepared on a best effort basis from historical data and may contain errors, omissions, or assumptions. Shared for information and discussion only, and should be independently verified before you rely on it. Krest accepts no liability for any decision made or loss incurred based on it.

Figures reflect the Acquirer's Multiple ranking (operating earnings yield, positive EBIT, market cap above ₹1,000 cr), reconstructed yearly over the last ten years of Indian data (since June 2016), measured against the Nifty 500 total return index. The top decile held about 76 stocks on average. US concept as described by Tobias Carlisle in The Acquirer's Multiple (2017).

Krest · mykrest.com