Alpha Beta Explained

Name: Alpha Beta Explained reference dataset
Creator: Know Your PMS

Published 2026-03-03. Last updated 2026-04-17. Editorial review: Know Your PMS editorial standards. By Abhimanyu Kucheria for Know Your PMS.

Topic cluster: Evaluation & Due Diligence

Start here if you are building a shortlist or reading factsheets for the first time. These guides cover comparison frameworks, disclosure literacy, and the traps that make good marketing look like good performance.

Pillar guide: How To Compare Schemes

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What it means (plain English)

In portfolio management, beta measures how much a scheme moves with its benchmark—typically Nifty 50, Nifty 500, or a custom index for thematic PMS. A beta near 1.0 means the portfolio tends to rise and fall roughly in line with the benchmark; below 1 suggests a more defensive posture, above 1 a more aggressive one.

Alpha is the return left over after adjusting for that market exposure. Positive alpha means the manager beat what you'd expect given their beta and the benchmark's return; negative alpha means they lagged. SEBI-registered PMS providers report these via regression on monthly or quarterly returns, though methodology varies—some use cash-adjusted portfolios, others model portfolios.

For Indian HNI investors evaluating PMS at the ₹50 lakh minimum (or higher ticket sizes), alpha and beta together answer a sharper question than CAGR alone: did the manager add skill, or did they simply take more market risk? A small-cap PMS with beta 1.3 and strong alpha tells a different story than a large-cap mandate with beta 0.9 and similar headline returns.

Always check the regression window. Alpha and beta computed on 36 months can look very different from a 60-month or full-cycle sample, especially if the period includes COVID-2020, the 2022 rate-hike selloff, or the 2023–24 small-cap rally.

Worked example (Indian PMS scenario)

Suppose you invested ₹1 crore in a mid-cap PMS in April 2021. Over the next 36 months, Nifty Midcap 150 TRI returned 14% annualised while your PMS returned 19%. A regression on monthly returns might show beta of 1.15 and alpha of roughly 4.2% per year—meaning about four percentage points of excess return after accounting for the manager's higher market sensitivity.

Now compare a second scheme on the same benchmark: 17% CAGR, beta 0.92, alpha 5.8%. The lower headline return actually carries higher risk-adjusted skill because the manager delivered more alpha without leaning on extra market exposure. On a ₹2 crore ticket, that 1.6% annual alpha gap compounds to roughly ₹6.5 lakh over three years before fees.

Finally, check fees. If the first manager charges 1.5% fixed plus 15% performance fee above a 10% hurdle, much of the gross alpha may disappear in a flat year. Always read whether the factsheet alpha is gross or net of the fixed fee component.

Why it matters for PMS scheme selection

Alpha and beta separate skill from market exposure—essential when two PMS schemes show similar CAGR but took very different paths to get there.

See the complete PMS evaluation framework

Reveals whether outperformance came from stock selection or simply riding a high-beta rally
Helps match mandate risk to your own tolerance before committing ₹50L+
Makes peer comparisons fairer when schemes use different benchmarks
Flags managers who look good only because they ran hot in a bull phase
Pairs naturally with R-squared to see if beta is even a meaningful descriptor

How to interpret it (practical checklist)

Confirm which benchmark was used for the regression
Check the time window—prefer 36+ months including a drawdown
Compare alpha only among schemes with similar beta and mandate
Read whether returns are gross or net of fees in the regression
Cross-check alpha against rolling returns and max drawdown
Note if the track record is model portfolio vs actual client composite
Ask whether derivatives or cash were included in the regression inputs

Common pitfalls (how this gets misused)

Read our methodology for assumptions and limitations.

Treating alpha as guaranteed future skill rather than historical estimate
Comparing alpha across schemes with different benchmarks or betas
Ignoring low R-squared where beta explains little of the variance
Using alpha from a cherry-picked bull-market window only
Forgetting that high alpha with extreme concentration may not repeat
Assuming reported alpha is net of all fees without verifying

Related metrics to review together

Use this guide alongside these metrics to avoid one-number decision-making:

Browse all metrics

Related guides

FAQs

What is a good alpha for an Indian PMS scheme?

There is no universal threshold. Context matters: mandate, benchmark, fees, and cycle. Positive alpha over 36+ months net of fees, with reasonable concentration and a documented process, is worth investigating. Single-digit annual alpha on a large-cap mandate can be meaningful; mid-cap managers sometimes show higher alpha with higher drawdowns. Compare within peer groups on Know Your PMS rather than against an absolute number.

Can beta be negative for a long-only PMS?

Rare but possible over short windows if the portfolio is negatively correlated with the benchmark—e.g., heavy cash, inverse sector bets, or hedges. More often, low beta (0.5–0.8) reflects defensiveness. If beta looks odd, check R-squared, sample length, and whether the benchmark truly matches the portfolio's style.

Do all SEBI PMS factsheets publish alpha and beta?

Many do, but disclosure depth varies. Some managers publish only in presentation decks, not monthly factsheets. Regression assumptions (risk-free rate, frequency) may differ from what you see on comparison platforms. Always trace numbers to the primary disclosure and align methodology before ranking schemes.

Next: How to compare PMS schemes · Compare schemes · All guides

Frequently asked questions

What is a good alpha for an Indian PMS scheme?: There is no universal threshold. Context matters: mandate, benchmark, fees, and cycle. Positive alpha over 36+ months net of fees, with reasonable concentration and a documented process, is worth investigating. Single-digit annual alpha on a large-cap mandate can be meaningful; mid-cap managers sometimes show higher alpha with higher drawdowns. Compare within peer groups on Know Your PMS rather than against an absolute number.
Can beta be negative for a long-only PMS?: Rare but possible over short windows if the portfolio is negatively correlated with the benchmark—e.g., heavy cash, inverse sector bets, or hedges. More often, low beta (0.5–0.8) reflects defensiveness. If beta looks odd, check R-squared, sample length, and whether the benchmark truly matches the portfolio's style.
Do all SEBI PMS factsheets publish alpha and beta?: Many do, but disclosure depth varies. Some managers publish only in presentation decks, not monthly factsheets. Regression assumptions (risk-free rate, frequency) may differ from what you see on comparison platforms. Always trace numbers to the primary disclosure and align methodology before ranking schemes.