If safety and quality are such good ideas, why did buying them lose? The teardown finds the leak.
The overview showed a calm, high quality screen trailing the index and falling harder than it. That should not happen. Taking the screen apart, cut by cut and regime by regime, shows where the return leaked out, and what a "low-risk" label is actually worth.
Start with the strangest result in the overview: on almost every screen we have tested, spreading wider is safer and concentrating is riskier. Here it was the reverse. That single inversion tells you most of what you need to know.
The narrower you held it, the better it did
Hold the broad top decile or the top thirty and you got about 12% a year, below the market. Squeeze into the tightest ten, the very calmest and most profitable names, and it jumped to almost 15% with the shallowest fall of any cut. When concentration helps, it means the signal is thin and lives in a few names, so spreading it wide just dilutes it with mediocrity. This is not a broad, robust edge. It is a narrow one, easily drowned.
It rarely beat the market, in any weather
Reliability is the one thing a defensive screen must offer, and this one did not. Count how often it actually cleared a plain index fund and the answer is less than half at every horizon, one year, three years, five years alike. Held five years it made money almost always, but it beat the index in only about a quarter of those runs. It was steady in the sense of steadily behind.
Split the same record by macro backdrop and the picture is honest but unflattering: positive across the board, and roughly market-like across the board. There is no regime it was built for, because it was not really built for anything except comfort.
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.
What it really was: the market, wearing a cardigan
Put the pieces together and the identity is plain. Its closest relative in the market is the broad total-market index, tracked at a correlation near 0.96. It held the household blue chips everyone already owns, leaned large and mid cap, and delivered a return within touching distance of the index, slightly below, through a fall slightly deeper. You were not buying an edge. You were buying the market and a feeling of prudence, and paying about a point and a half a year for the feeling.
If you want defense, make it earn its name
Low volatility on its own was not enough here. Pair the calm screen with a cheapness or momentum rank, tighten the quality floor, or simply hold the concentrated ten, and you can turn a comfort tilt into something with a pulse. The label "defensive" should be a finding, proven in a drawdown, not a promise printed on the tin.
So we took it to Krest, and ran it through the whole test.
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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.
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 low-volatility plus return-on-equity screen (positive net profit, debt to equity below 1, 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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