Correlation To Benchmark

Name: Correlation To Benchmark reference dataset
Creator: Know Your PMS

Published 2026-01-01. Last updated 2026-04-17. Editorial review: Know Your PMS editorial standards. By Abhimanyu Kucheria for Know Your PMS.

Topic cluster: Evaluation & Due Diligence

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Pillar guide: How To Compare Schemes

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What it means (plain English)

Correlation measures how portfolio returns move with benchmark returns, from -1 to +1. Most long-only Indian PMS show high positive correlation (0.8–0.95) to their equity benchmark because they hold overlapping stocks. Low correlation can mean true diversification—or unintended cash, hedges, or off-mandate bets.

For multi-manager HNI portfolios, correlation between two PMS schemes matters as much as correlation to Nifty. Pairing two high-correlation mid-cap managers duplicates risk; combining a low-correlation absolute-return sleeve with core equity may smooth the family portfolio.

Correlation is unstable. It spiked toward 1.0 in March 2020 when everything sold off together. Regime shifts (rate hikes, liquidity crunches) change stock correlations. Use rolling 24–36 month correlation, not one full-sample number.

SEBI PMS rarely headline correlation, but you can derive it from monthly returns on Know Your PMS or factsheets. Pair with R-squared from beta regression for a fuller picture.

Worked example (Indian PMS scenario)

A 'absolute return' PMS claims low equity correlation. Monthly return correlation to Nifty 50 over 48 months: 0.82—still highly equity-linked. Versus Nifty 500: 0.79. Versus a 50/50 equity-debt blend: 0.65. The portfolio is not an uncorrelated diversifier; it's a tilted equity book with 15% cash.

Practical impact: in Mar 2020, Nifty fell 23% in one month. At 0.82 correlation and beta 0.9, expect roughly −19% on ₹1 crore (₹19 lakh) unless down-capture is actively managed lower. A true low-correlation sleeve (0.3) might have lost 8–10%.

Correlation also affects rebalancing. If your family office holds 60% direct equities and 40% this PMS, effective equity exposure is higher than labels suggest—stress-test the combined book, not silos.

Why it matters for PMS scheme selection

Correlation tells you whether a second PMS actually diversifies or just clones your existing equity risk.

See the complete PMS evaluation framework

Prevents stacking redundant mid-cap or small-cap exposures
Explains tracking error and relative volatility
Flags mandate drift when correlation to benchmark collapses
Supports family-office portfolio construction across sleeves
Clarifies when 'alternative' PMS still behaves like Nifty

How to interpret it (practical checklist)

Compute correlation vs primary benchmark over 36+ months
Check rolling correlation around 2020 and 2022 stress
Compare correlation between finalist PMS pairs
Read cash and derivatives impact on correlation drops
Align correlation expectations with stated mandate
Use monthly returns, not annual, for precision
Note if correlation rises in crashes (diversification failure)

Common pitfalls (how this gets misused)

Read our methodology for assumptions and limitations.

Assuming low correlation always means lower risk
Using correlation from bull years only
Ignoring correlation between managers, not just to index
Confusing low correlation with guaranteed alpha
Short samples producing meaningless correlation
Overlooking that cash raises correlation stability artificially

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

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FAQs

What correlation is typical for large-cap PMS vs Nifty 50?

Often 0.85–0.95. Lower may indicate cash, sector bets, or stock divergence. Very low (below 0.7) for a pure large-cap mandate warrants a conversation about holdings and process.

Can two PMS both beat Nifty yet be highly correlated?

Yes—common in the same style bucket. Both may own similar quality compounders. For diversification, examine overlap in top 10 holdings and sector weights, not just return correlation.

Does correlation affect performance fees?

Indirectly. Index-linked hurdles reference benchmark moves; high correlation means relative return closely tracks active bets. Low correlation with benchmark can make relative performance fees volatile even when absolute return is fine.

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

Frequently asked questions

What correlation is typical for large-cap PMS vs Nifty 50?: Often 0.85–0.95. Lower may indicate cash, sector bets, or stock divergence. Very low (below 0.7) for a pure large-cap mandate warrants a conversation about holdings and process.
Can two PMS both beat Nifty yet be highly correlated?: Yes—common in the same style bucket. Both may own similar quality compounders. For diversification, examine overlap in top 10 holdings and sector weights, not just return correlation.
Does correlation affect performance fees?: Indirectly. Index-linked hurdles reference benchmark moves; high correlation means relative return closely tracks active bets. Low correlation with benchmark can make relative performance fees volatile even when absolute return is fine.