Portfolio Concentration

Published 2026-02-10. 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:


What it means (plain English)

Concentration means few stocks drive returns—top 5 at 40%, top 10 at 65% typical in conviction PMS. Indian small-cap managers may run 20–30 positions; large-cap quality may hold 25–40.

Concentration amplifies alpha and idiosyncratic risk. One governance failure can crater NAV. Factsheets disclose top holdings—track changes and weights monthly.

SEBI PMS rules include prudential norms; managers still differ widely. Your IPS should cap single-name exposure if family wealth is concentrated elsewhere in same stock (promoter holdings, employer equity).

Concentration pairs with liquidity—5% of a micro-cap is harder to exit than 5% of HDFC Bank.


Worked example (Indian PMS scenario)

Factsheet shows top 5 stocks = 42%, top 10 = 61% on ₹1 crore account. Stock A is 11% (₹11 lakh). Stock A drops 40% on governance scare → portfolio hit −4.4% from one name; if correlated with Stock B (another 9%), combined hit −7%.

Concentration enabled FY24 outperformance (+6% from two winners); same structure risks FY25 if one reverses. Herfindahl index might be 0.12 (concentrated) vs peer median 0.08.

Concentration is a double-edged sword. For ₹50 lakh minimum accounts, ask if you get equal conviction sizing or if larger clients get better diversification. SEBI norms cap single-stock exposure in many cases—verify compliance vs marketing 'high conviction.'


Why it matters for PMS scheme selection

Concentration is the lever behind home-run PMS returns—and behind single-stock disasters.

See the complete PMS evaluation framework

  • Quantifies idiosyncratic risk beyond beta
  • Explains return volatility vs diversified peers
  • Supports overlap check across managers
  • Links to liquidity and capacity analysis
  • Informs position limits in IPS

How to interpret it (practical checklist)

  1. Record top 5 and top 10 weight %
  2. Track largest position monthly
  3. Compare concentration to stated philosophy
  4. Check overlap with your non-PMS wealth
  5. Review history of largest losers
  6. Assess liquidity per top holding
  7. Set family single-name limits if needed

Explore related metrics · Compare PMS schemes · Concentration Top10


Common pitfalls (how this gets misused)

Read our methodology for assumptions and limitations.

  • Equating concentration with skill always
  • Ignoring sector concentration disguised as stock count
  • Missing increase in top weight after bad year
  • Duplicate exposure across two PMS
  • Micro-cap concentration without liquidity plan
  • Factsheet lag hiding recent adds

Related metrics to review together

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

Browse all metrics


Related guides


See also


FAQs

What top-10 weight is typical in Indian PMS?

Varies: diversified large-cap 40–55%; concentrated mid-cap 60–75%. Compare within mandate—absolute number means little without style context.

Does SEBI cap single-stock weight in PMS?

Prudential norms apply—verify compliance in disclosures. Managers should articulate internal limits stricter than minimum rules.

More stocks always safer?

More names reduce single-stock risk but may dilute edge and raise churn. Match concentration to manager skill and your risk budget.


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

Frequently asked questions

What top-10 weight is typical in Indian PMS?
Varies: diversified large-cap 40–55%; concentrated mid-cap 60–75%. Compare within mandate—absolute number means little without style context.
Does SEBI cap single-stock weight in PMS?
Prudential norms apply—verify compliance in disclosures. Managers should articulate internal limits stricter than minimum rules.
More stocks always safer?
More names reduce single-stock risk but may dilute edge and raise churn. Match concentration to manager skill and your risk budget.