Risk-Adjusted Returns & Manager Skill

Raw returns flatter funds that simply took more risk. These four numbers ask the better question: given the risk, was the return any good — and was it actually the manager's doing? Each is explained with an example.

Sharpe ratio — return per unit of total risk

The Sharpe ratio rewards return and penalises volatility, so you can tell who earned their return efficiently.

Example. Two funds both returned 14%, against a risk-free rate of 6%, so both earned 8% of "excess" return. But Fund A had a standard deviation of 8% and Fund B 16%.

• Fund A's Sharpe = 8 ÷ 8 = 1.0
• Fund B's Sharpe = 8 ÷ 16 = 0.5 Same return — but Fund A delivered it with half the turbulence, so it's the better risk-adjusted performer.

How to read it: roughly, below 1 is unremarkable, 1–2 is good, above 2 is excellent — but only compare similar funds over the same period.

Sortino ratio — penalising only the bad volatility

Sharpe treats all volatility as bad, including big up-moves. The Sortino ratio fixes that by counting only downside volatility — the swings investors actually dislike.

Example. A fund had a couple of explosive up-months that inflated its standard deviation, dragging its Sharpe down to 0.9. But because those big swings were upward, its downside deviation is small, lifting its Sortino to 1.6. The Sortino is telling you the fund's "risk" was mostly pleasant surprises, not painful drops — a more investor-friendly read.

How to read it: higher is better; Sortino is usually higher than Sharpe for the same fund. A fund with a much better Sortino than peers is cushioning your downside well.

Treynor ratio — return per unit of market risk

Treynor is like Sharpe but divides by beta (market risk) instead of total volatility. It's most useful when a fund is one slice of a diversified portfolio.

Example. A fund earned 8% of excess return with a beta of 0.8. Its Treynor = 8 ÷ 0.8 = 10. A peer earned the same 8% excess but with a beta of 1.2 — Treynor = 8 ÷ 1.2 = 6.7. The first fund delivered more reward for each unit of market exposure it took on.

How to read it: use Sharpe if you hold one fund (total risk matters); lean on Treynor when the fund is part of a broader portfolio. Treynor is only reliable when R-squared is high enough to trust the beta.

Alpha — the closest thing to "skill"

Alpha is the return a fund earned beyond what its market risk (beta) would predict — in theory, the manager's value-add.

Example. The market returned 15% and the risk-free rate was 6%, so the market's excess return was 9%. A fund with a beta of 1.0 would be "expected" to return 6% + (1.0 × 9%) = 15%. If it actually returned 18%, its alpha is +3% — three points more than its risk predicted. A fund that returned only 13% would have a negative alpha of −2% — it underperformed for the risk it took.

How to read it: consistently positive alpha after costs is the holy grail. But one year of high alpha means little — it's easily produced by luck or a single concentrated bet.

The AlphaPicker angle

Here's the catch with all four: they can't separate genuine stock-picking skill from lucky style and sector tilts. A value tilt or an overweight to a hot sector can show up as alpha even if the manager never picked a single stock cleverly. We go further — stripping out market, style, and sector — to isolate stock-selection alpha, the part that reflects real skill and is most likely to repeat. It's literally what we're named after.

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Educational information only, not investment advice. Mutual funds are subject to market risk; past performance is not indicative of future results. Consult a SEBI-registered investment adviser for advice specific to you.