Alpha

Alpha is the most direct answer to the question: "Is this fund manager actually adding value, or am I paying for returns I could get from an index fund?" It strips out the portion of return explained by market exposure (beta) and isolates what remains — the active manager's contribution.

What it measures

Alpha represents the intercept in a regression of fund excess returns against benchmark excess returns. A positive alpha means the fund returned more than its beta-adjusted exposure would predict. A zero or negative alpha means passive exposure would have been equally or more rewarding.

In Indian market context, alpha is most meaningful for actively managed equity funds versus their respective category benchmark (Nifty 50 for large-cap, Nifty Midcap 150 for mid-cap, etc.).

How it is computed

Using the Capital Asset Pricing Model (CAPM) framework:

α = R_p − [R_f + β × (R_b − R_f)]

Where:

• ·R_p = annualised fund return (3-year)
• ·R_f = risk-free rate (91-day T-bill, annualised)
• ·β = fund's beta against the category benchmark
• ·R_b = annualised benchmark return over the same 3-year window

Example: A large-cap fund returns 14.2% annualised. R_f = 6.8%, benchmark Nifty 50 returned 12.5%, fund beta = 0.92.

Expected return = 6.8 + 0.92 × (12.5 − 6.8) = 6.8 + 5.24 = 12.04%

Alpha = 14.2 − 12.04 = +2.16%

This fund generated 2.16 percentage points of excess return above what its market exposure predicted.

How to interpret

• ·Positive alpha (e.g. +2% to +4%): Fund is generating genuine active return. Worth paying active management fees for.
• ·Near-zero alpha (−1% to +1%): Fund is tracking the market; consider whether TER justifies the fee over an index fund.
• ·Negative alpha (< −1%): Manager is destroying value net of market exposure. A serious red flag in a sustained period.

Most actively managed large-cap funds in India show alpha between −1% and +3% over rolling 3-year windows. Persistently positive alpha (> +2% over multiple rolling periods) is genuinely rare.

Limitations + caveats

CAPM alpha uses only one factor (market return). A fund tilted toward small-cap stocks may show positive alpha against a large-cap benchmark simply because small caps outperformed, not because of manager skill. Factor exposure analysis decomposes this further. Alpha is also look-back dependent; past alpha does not predict future alpha, and short windows (< 3 years) produce noisy estimates.

Related metrics

• ·Beta — market sensitivity coefficient used in the alpha calculation.
• ·Sharpe Ratio — risk-adjusted return using total volatility; a complementary lens on manager efficiency.
• ·Factor Exposure — multi-factor decomposition that explains why alpha exists.

Sources

Monthly NAV and benchmark returns: AdvisorKhoj API. CAPM regression run monthly over trailing 36 months (minimum 24 months required). Category benchmarks assigned per SEBI classification.