Tracking Error Guide
Published 2026-01-02. Last updated 2026-04-17. Editorial review: Know Your PMS editorial standards. By Abhimanyu Kucheria for Know Your PMS.
Topic cluster: Risk & Return Metrics
Headline CAGR hides the journey. This cluster explains drawdowns, volatility, rolling returns, capture ratios, and risk-adjusted measures — with Indian PMS factsheet context.
Pillar guide: Max Drawdown Explained
More in this cluster:
- Max Drawdown Explained
- Volatility Explained
- Rolling Returns Guide
- Calmar Ratio Guide
- Information Ratio Guide
What it means (plain English)
Tracking error (TE) is standard deviation of active return (portfolio minus benchmark) over time—usually monthly. High TE = portfolio diverges boldly from index; low TE = hugs benchmark (closet indexing risk if fees high).
Indian relative-return PMS target positive alpha with controlled TE—information ratio = active return / TE. TE explains why relative returns swing year to year.
TE rises with concentration, sector bets, and mid/small cap vs Nifty 50 benchmark. Wrong benchmark makes TE meaningless.
Use TE with holdings overlap—low TE plus low overlap is rare; investigate data.
Worked example (Indian PMS scenario)
PMS vs Nifty 500 benchmark: tracking error 9% annualised. Active share 68%. Expected monthly divergence ±2.5% vs benchmark common. In a month Nifty +3%, PMS might print −1% to +8% without 'breaking' process.
Low TE (2–3%) closet indexing: fees buy little active risk. High TE (12%+) without IR > 0.5 is expensive beta. On ₹1 cr, TE 9% implies active risk budget—ensure you want that tilt versus owning Nifty 500 MF at 20 bps.
TE must be read with benchmark correctness. Mid-cap PMS vs Nifty 50 shows TE 12%—partly wrong ruler, not purely active management.
Why it matters for PMS scheme selection
Tracking error quantifies how much of a bet you're taking vs the benchmark—central to active PMS evaluation.
See the complete PMS evaluation framework
- Measures active risk magnitude
- Feeds information ratio calculation
- Detects closet indexing with high fees
- Explains relative return volatility
- Validates benchmark appropriateness
How to interpret it (practical checklist)
- Confirm benchmark alignment
- Compute TE over 36+ monthly points
- Compare TE to peer active managers
- Read holdings overlap vs TE level
- Pair TE with active return sign
- Track TE trend as AUM grows
- Question low TE with high fixed fees
Explore related metrics · Compare PMS schemes · Tracking Error
Common pitfalls (how this gets misused)
Read our methodology for assumptions and limitations.
- TE vs wrong benchmark
- Celebrating high TE without alpha
- Low TE ignored with 2% fee large-cap
- Short sample TE extremes
- Confusing TE with total volatility
- Gross vs net active return mismatch
Related metrics to review together
Use this guide alongside these metrics to avoid one-number decision-making:
Related guides
- Rolling Returns Guide
- Information Ratio Guide
- Calmar Ratio Guide
- Ulcer Index Guide
- Capture Ratios Guide
See also
FAQs
What tracking error is normal for active PMS?
Large-cap active 3–6% annualized TE common; mid/small higher. Compare peers—absolute number needs mandate context.
High TE always bad?
No if paired with consistent positive active return. Bad if TE high and alpha negative—paying to diverge and lose.
Do factsheets publish tracking error?
Some institutional factsheets do. Derivable from monthly portfolio and benchmark returns.
Next: How to compare PMS schemes · Compare schemes · All guides
Frequently asked questions
- What tracking error is normal for active PMS?
- Large-cap active 3–6% annualized TE common; mid/small higher. Compare peers—absolute number needs mandate context.
- High TE always bad?
- No if paired with consistent positive active return. Bad if TE high and alpha negative—paying to diverge and lose.
- Do factsheets publish tracking error?
- Some institutional factsheets do. Derivable from monthly portfolio and benchmark returns.