Why High Returns Don't Mean High Alpha (And Why It Matters)

Alpha is one of the most misunderstood numbers in investing. In casual usage, it simply means "outperformance" — a fund that returns more than its benchmark has positive alpha. But in rigorous usage, alpha is the excess return a fund generates after accounting for the level of market risk (beta) it carries.

A fund with a beta of 1.2 — meaning it moves 1.2% for every 1% the market moves — needs to return more than the market simply to justify that extra risk. If such a fund returns 18% when the market returns 16%, it has NOT generated positive alpha. It has merely done what any leveraged index position would do. True alpha is the return that cannot be explained by market exposure.

Bull markets create an illusion of skill. When markets rise strongly, almost every actively managed equity fund will deliver double-digit returns. Fund managers appear competent, investors are happy, and asset flows pour in. But most of this return is simply beta — the market going up and carrying everything with it.

The test of a genuine alpha generator is the bear market or the flat market. When the Nifty 500 drops 20%, does the fund drop 15% or 25%? In a flat year for the index, does the fund deliver something positive? These are the moments when alpha — or its absence — becomes visible.

This is precisely why evaluating a fund only during a bull run leads to poor investment decisions. You're selecting for beta exposure, not skill.

Three tests help identify funds that generate genuine alpha rather than leveraged beta. First, compare performance across market regimes: strong bull, mild bull, flat, mild bear, and strong bear. A genuine alpha generator should show relative outperformance (or at least benchmark-matching) across multiple regimes, not just one.

Second, look at down-capture ratio. A fund that falls only 75% as much as the market during downturns (downside capture of 75%) while rising in line with the market in upturns is systematically destroying risk — which is one form of alpha generation. Protecting capital in bear markets is often more valuable than chasing returns in bull markets.

Third, look at the consistency of alpha across rolling periods. A fund with consistently positive rolling 3-year alpha — not just in the best windows but across most windows — has a systematic advantage over the market, not a lucky streak.

Just as with returns, a single alpha figure measured over a fixed window tells you very little. A fund that generated 4% alpha over the last three years might have generated that entire alpha in one spectacular 12-month period while underperforming the market for the other 24 months.

Rolling alpha — calculated across overlapping windows — shows the distribution of alpha generation over time. A fund with a rolling 3-year alpha that is consistently between 1% and 3% is a fundamentally different proposition from a fund whose alpha oscillates between +8% and −5% depending on the window. The former has a repeatable process; the latter is taking concentrated bets that sometimes pay off.

MFLens plots rolling alpha against both the absolute benchmark return and the fund's own rolling return, so you can see not just whether alpha was positive, but whether it was consistent and whether the manager's skill persisted across different market environments.

When evaluating a fund for investment, always look at alpha relative to an appropriate benchmark — not the same benchmark used for all categories. A small-cap fund should be benchmarked against a small-cap index, not the Nifty 50. Using the wrong benchmark can make a fund look like it has alpha when it's simply taking on small-cap risk that a small-cap index would replicate.

The highest-alpha funds in any category tend to have a few things in common: concentrated portfolios (fewer holdings, higher conviction), consistent investment processes that don't drift with market trends, and managers who have navigated at least one full bear-to-bull cycle. These aren't guarantees of future alpha — nothing is — but they're better predictors than last year's return chart.