Performance Persistence Myth

Published 2026-02-13. 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)

Performance persistence is the idea that winners keep winning. In Indian PMS and global active management, persistence is weak beyond 1–2 years. Today's top-decile scheme often regresses to median—fees, crowding, style cycles, and luck explain much.

SEBI does not guarantee past alpha continues. Marketing exploits recency: billboard the 2023 winner, quiet on 2022 laggards. Academic and industry studies show rank autocorrelation drops quickly in equities.

What persists more than raw rank: process discipline, risk culture, team stability, and fee alignment—harder to market, more valuable.

Weight 5-year net records over 1-year glory. Use persistence skepticism to justify diversification across managers and styles, not manager hopping every April.

Worked example (Indian PMS scenario)

2021 top-decile mid-cap PMS list (10 schemes): only 3 stayed top-decile in 2022, 2 in 2023. Mean reversion and style cycles dominate. Scheme that ranked #1 in FY21 (+48%) ranked #28 of 40 in FY22 (−4% vs peer median −2%).

Investor behaviour error: allocated ₹1 crore in Apr 2022 chasing FY21 winners, paid entry after run-up, redeemed in Oct 2022 at −12%. Fees on round trip: ~₹3 lakh fixed + pain.

Persistence exists weakly at best for net returns after fees. Weight process, team, risk metrics, and capacity over last year's league table. If persistence were strong, Know Your PMS peer ranks would be perfectly autocorrelated—they're not.

Why it matters for PMS scheme selection

Treating PMS rankings like cricket form—'in form so must persist'—is the most expensive myth in HNI investing.

See the complete PMS evaluation framework

  • Reduces churn into last year's winner
  • Sets realistic expectations after strong years
  • Shifts focus to process vs leaderboard
  • Supports multi-year due diligence windows
  • Explains mean reversion after hot streaks

How to interpret it (practical checklist)

  1. Review 5-year rank, not only latest year
  2. Check if winner benefited from style tailwind
  3. Compare manager process pre and post fame
  4. Note AUM inflows after top rankings
  5. Read lag years in same cycle
  6. Diversify rather than concentrate on #1
  7. Re-evaluate on process breach, not rank slip alone

Explore related metrics · Compare PMS schemes · Cagr

Common pitfalls (how this gets misused)

Read our methodology for assumptions and limitations.

  • Investing solely on last calendar year rank
  • Abandoning manager after one bad year
  • Assuming media 'PMS of the year' repeats
  • Ignoring style cycle driving persistence illusion
  • Chasing performance after large inflows
  • Confusing persistence with manager skill proof

Related metrics to review together

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

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Related guides

See also

FAQs

Do any Indian PMS show multi-year persistence?

Some appear in top quartile repeatedly—often mix of skill and style fit. Verify net of fees across full cycle including bad years, not marketing highlights.

Should I avoid last year's best performer?

Not automatically—but increase scrutiny. Fame attracts AUM, style may be extended, fees may not compress. Due diligence harder, not optional.

How does persistence relate to star ratings?

Star-like ratings often overweight recent returns. Treat as starting screen, not conclusion—read persistence myth before allocating.

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

Frequently asked questions

Do any Indian PMS show multi-year persistence?
Some appear in top quartile repeatedly—often mix of skill and style fit. Verify net of fees across full cycle including bad years, not marketing highlights.
Should I avoid last year's best performer?
Not automatically—but increase scrutiny. Fame attracts AUM, style may be extended, fees may not compress. Due diligence harder, not optional.
How does persistence relate to star ratings?
Star-like ratings often overweight recent returns. Treat as starting screen, not conclusion—read persistence myth before allocating.