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Value, Quality, Momentum Value + quality + momentum
We took it to KrestTested
The full teardown · a decade of Indian data, 2016 to 2026

The blend was built to smooth the ride and sharpen the return. It did neither especially well. The teardown takes it apart.

The overview showed a clean ranking with a soft payoff and a top that collapsed under concentration. Here we test the other promise made for multi factor blends, a calmer, steadier ride, and find that the calm came from holding time, not from stacking factors. Then, the more useful question: what to do instead.

The pitch for combining value, quality and momentum is that they rarely stumble together, so the blend should ride more smoothly than any one alone. It is a good theory. The windows do not support it.

The ride it was supposed to smooth

One bar for every start month. If three uncorrelated edges were truly cancelling each other's bad spells, the single year swings should have been tame. They were not: a year in the blend still ran from roughly a 45% loss to a 163% gain depending only on when you started, a spread as wide as the single factor screens beside it. What actually calmed the outcome was not the mix of factors but the passage of time, three years narrowed the range sharply, five years turned every window positive. Holding period did the smoothing that diversification of factors was supposed to.

Return by the month you happened to start
Each bar = one start date · held one year · top 30
Three factor blendNifty 500
Toggle the holding period. Time, not the factor mix, is what tamed the swings.

No shelter from the weather

A blend of complementary factors is also meant to be more all weather, steadier across the cycle than a pure value or pure momentum bet. Split the decade by macro backdrop and that promise is thin too: the blend leans on the same up cycle in growth and the same easing in rates that every risk on strategy here leans on. It is a little steadier than raw momentum, but it buys that steadiness by diluting the return, not by finding genuine shelter. There is no free lunch hiding in the average.

Median monthly return by macro backdrop
Top 30 · by direction of growth, inflation and rates
The same weather as everything else. The blend rode the cycle, it did not escape it.

Three factors versus one index, cut for cut

Set theory aside and just count. Pick any month, hold, and how often did the blend beat a plain index fund?

Respectable, but notice these five year hit rates sit below the single factor winners we have tested, the cash yield and value composite screens cleared the index far more reliably. Three edges averaged together did not just cap the return, they lowered the odds of beating the market compared with backing one edge properly.

What it held, and the worst it would have handed you

Two last checks make the risk concrete: what the basket was actually made of, by company size, and, instead of the single drawdown path, the worst fall you would have suffered no matter which month you started and held for five years.

By company size, share of the basket
Average market cap mix across the decade
Worst fall by the month you happened to start
Maximum drawdown over each five year hold
Every start date, its worst five year drawdown; the dashed line is the median. This is the fall you had to be able to sit through, wherever you came in.

Combine by sequence, not by sum

The failure here is not the factors, it is the arithmetic. A sum of ranks treats a stock that is brilliant on one measure and poor on another exactly like a stock that is mediocre on all three, and then prefers the mediocre one because it never scores badly. So the blend systematically owns the compromise and avoids the conviction. The fix is to stop averaging. Combine the factors in sequence instead: use one as a gate, quality to throw out the junk, then rank the survivors by another, cheapness or momentum, so a strong signal is never diluted by a weak one. Or simply hold fewer factors, sharply. The idea of combining edges is sound; a sum of ranks is the bluntest possible way to do it.

And you can rewire the combination yourself

Turn the quality rank into a filter and keep value as the ranking, drop to two factors, or weight momentum lower so it stops vetoing your best value picks. Watch the top ten come back to life as you stop averaging away its conviction. The best combination is a sequence of decisions, not a blur of them.

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

KREST TESTED · RUN ON REAL HISTORY ·
Method mark
Krest Tested
We took the three factor blend apart, cut by cut and regime by regime, on a decade of Indian data. The rigour is ours; the verdict is yours.

Free · no account needed

Test before you trust.

Don't take our word for any of it. Every figure in this teardown came from a few clicks on Krest, and each is a click from the full, live analysis. Reading and exploring is free.

More Krest Research

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 a three factor screen (equally ranked on earnings yield, gross profit to assets and twelve month momentum, filtered to positive EBIT and 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. Concentration, regime and base rate figures computed across all rolling windows. Because this rests on about ten years of data, a longer run of history could change the conclusions.

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