PMS Sharpe Vs Sortino

Name: PMS Sharpe Vs Sortino reference dataset
Creator: Know Your PMS

Published 2026-03-08. 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:

What it means (plain English)

Sharpe ratio = (return − risk-free rate) / total volatility (standard deviation). Sortino uses downside deviation only—penalizing harmful volatility, not upside swings.

Indian equity returns are positively skewed long term but crash-prone short term. Sortino often looks better for managers with volatile upside—conservative allocators may still prefer Sortino for pain-focused view.

PMS factsheets may show either; compare consistently within peer group. Risk-free rate assumptions (10Y G-Sec, T-bill) shift levels—not ranks much if consistent.

Neither ratio captures tail risk (fat tails). Pair with max drawdown, Calmar, and skew for full picture. High Sharpe with hidden leverage is dangerous.

Worked example (Indian PMS scenario)

PMS A: 18% return, 22% volatility, Sharpe ≈ 0.73 (assuming 7% risk-free). Sortino might be 1.1 if downside deviation is only 12% because upside months are volatile but losers are muted.

PMS B: 17% return, 16% volatility, Sharpe ≈ 0.88. Lower Sortino (0.95) if a few nasty −8% months inflate downside deviation asymmetrically.

For ₹2 crore, B's higher Sharpe suggests better overall risk-adjusted return; retirees drawing income prefer A's higher Sortino if those fat upside months don't matter versus shallow drawdowns. Report both metrics net of fees—gross Sharpe flatters high-fee managers.

Why it matters for PMS scheme selection

Sharpe and Sortino answer different questions about volatility—using the wrong one flatters the wrong manager.

See the complete PMS evaluation framework

Risk-adjusts returns beyond raw CAGR
Sortino aligns with HNI dislike of downside
Enables peer ranking on efficiency
Reveals upside volatility vs downside
Complements drawdown-based metrics

How to interpret it (practical checklist)

Note which ratio factsheet publishes
Use same risk-free assumption across peers
Compare 36–60 month windows
Read net returns basis for numerator
Pair Sharpe/Sortino with max drawdown
Check if derivatives inflate Sharpe short term
Avoid single-ratio ranking

Common pitfalls (how this gets misused)

Read our methodology for assumptions and limitations.

Comparing Sharpe to Sortino directly as numbers
Sharpe on short windows with low vol flukes
Ignoring numerator manipulation via smoothing
High Sortino with tiny absolute return
Assuming ratios capture crash risk fully
Different return frequencies across vendors

Related metrics to review together

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

Browse all metrics

Related guides

FAQs

Which ratio do Indian PMS prefer?

Sharpe more common historically; Sortino growing for downside-aware marketing. Request both if only one shown.

What Sharpe is good for equity PMS?

Above 0.5–0.7 over 5 years net is respectable context-dependent. Compare within peer mandate on Know Your PMS.

Can Sortino be gamed?

Managers with lumpy upside and rare crashes show high Sortino until tail hits. Stress periods mandatory in review.

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

Frequently asked questions

Which ratio do Indian PMS prefer?: Sharpe more common historically; Sortino growing for downside-aware marketing. Request both if only one shown.
What Sharpe is good for equity PMS?: Above 0.5–0.7 over 5 years net is respectable context-dependent. Compare within peer mandate on Know Your PMS.
Can Sortino be gamed?: Managers with lumpy upside and rare crashes show high Sortino until tail hits. Stress periods mandatory in review.