Sector Allocation

Published 2026-02-27. Last updated 2026-04-17. Editorial review: Know Your PMS editorial standards. By Abhimanyu Kucheria for Know Your PMS.

Topic cluster: Portfolio Construction & Mandate

What the manager actually holds matters as much as the ratio on page one. Concentration, sectors, liquidity, capacity, cash levels, and style drift live here.

Pillar guide: Portfolio Concentration

More in this cluster:

• Portfolio Concentration
• Liquidity Risk In Small Cap Schemes
• Leverage And Derivatives In Pms
• Capacity Constraints In Pms
• Impact Of Fund Size On Alpha

What it means (plain English)

PMS sector weights show where risk concentrates—Nifty-heavy financials and IT, or bold underweights during sector crashes. Factsheets publish sector breakdown monthly vs Nifty sector weights.

Active sector bets drive tracking error and relative performance. A financials overweight wins in credit upcycles; loses in NBFC scares (2018). Thematic PMS may run 40%+ one sector—know before you buy.

Sector allocation links to macro view and style drift. Compare sector weights to stated philosophy (agnostic stock picker vs top-down).

For family portfolios, sum sector exposure across PMS, MF, and direct stock—hidden financials concentration common in India.

Worked example (Indian PMS scenario)

PMS enters FY24 with 32% financials (banks + NBFCs), 18% IT, 15% industrials. Nifty weight financials ~28%. Overweight banks capture rate-cycle rally—adds 3% alpha in FY24 when financials outperform. FY25 RBI pause: financials flat, PMS lags if still 30%+ allocated.

Sector bet ≠ stock skill. On ₹1.5 cr, 32% financials = ₹48 lakh. A 10% sector correction hits ₹4.8 lakh from one macro call. Compare sector weights to benchmark and to your direct holdings—combined financials exposure might exceed 40%.

Review sector drift quarterly. Managers should articulate forward sector view vs benchmark, not just hold last year's winners.

Why it matters for PMS scheme selection

Sector weights explain why two 'multi-cap' PMS diverge sharply in the same Nifty year.

See the complete PMS evaluation framework

• Surfaces macro and factor bets
• Explains relative vs benchmark returns
• Supports overlap analysis across accounts
• Flags thematic drift in generalist mandates
• Informs tax and ESG exclusion alignment

How to interpret it (practical checklist)

1. Download sector weights for 12 months
2. Compare to Nifty 500 sector benchmark
3. Track largest over/underweights
4. Read manager commentary on sector calls
5. Sum sectors across all family holdings
6. Check if derivatives alter sector exposure
7. Align sector risk with macro view humbly

Explore related metrics · Compare PMS schemes · Sector Concentration

Common pitfalls (how this gets misused)

Read our methodology for assumptions and limitations.

• Ignoring sector bets in 'stock picker' labels
• Single month sector snapshot
• Missing sector change after bad quarter
• Duplicate sector risk across two PMS
• Confusing stock count with sector diversification
• Sector labels inconsistent across factsheets

Related metrics to review together

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

Browse all metrics

• Sector Concentration
• Correlation
• Beta
• Active Return

Related guides

• PMS Sharpe Vs Sortino
• Max Drawdown Explained
• Rolling Returns Guide
• Volatility Explained
• Alpha Beta Explained

See also

• Style drift detection
• Portfolio concentration
• Benchmark selection
• Regime analysis

FAQs

How often do PMS change sector allocation?

Varies—low turnover managers shift slowly; tactical managers rotate quarterly. Trend sector weights, don't panic one change.

Should PMS match Nifty sectors?

Only if closet indexing is goal. Active PMS intentionally diverge—question is whether divergence is intentional and rewarded net of fees.

Do sectors affect PMS taxes?

Indirectly via turnover when rotating sectors. STCG/LTCG on sales—sector shift can crystallize gains.

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