Risk-Adjusted Returns Explained: Sharpe, Sortino, Calmar and Information Ratio for Indian Investors

Bull Run Risk-Adjusted Performance Research

Risk-adjusted return asks how efficiently a portfolio converted risk into return. The Sharpe Ratio uses total volatility, the Sortino Ratio uses downside deviation, the Calmar Ratio uses maximum drawdown and the Information Ratio uses benchmark-relative variability. Each answers a different question.

The right approach is not to select the ratio that makes the portfolio look best. Use several measures, calculated with the same dates and return conventions, then compare the results with concentration, liquidity, taxes and the investor's actual ability to stay invested.

Updated: July 23, 2026Author: Bull Run Research DeskIndia-focused risk-adjusted framework

Risk-Adjusted Ratios at a Glance

MeasureReturn NumeratorRisk DenominatorBest UseMain Limitation
Sharpe RatioReturn above risk-free rateTotal volatilityBroad portfolio efficiencyPenalises upside and downside volatility equally
Sortino RatioReturn above target returnDownside deviationGoal and downside-focused analysisSensitive to target and limited downside observations
Calmar RatioAnnualised returnMaximum drawdownDrawdown efficiencyOne extreme event can dominate
Information RatioActive returnTracking errorBenchmark-relative skillDepends heavily on benchmark choice
Return-to-PaRExpected or realised returnSevere portfolio-at-risk estimateFundamental downside reviewScenario estimates are subjective

A Higher Ratio Does Not Automatically Mean a Safer Portfolio

Historical ratios can miss illiquidity, hidden leverage, accounting risk, extreme concentration and sudden gaps. A small-cap portfolio with stale prices can appear less volatile than it really is.

Use market-based ratios with fundamental stress tests.

Bull Run's Four-Layer Risk-Adjusted Return Map

Layer 1

Return Quality

Was return generated through durable earnings, valuation expansion, leverage, concentration or luck?

Layer 2

Observed Risk

What volatility, downside deviation and drawdown occurred?

Layer 3

Hidden Risk

What liquidity, governance, debt and concentration risks were not captured?

Layer 4

Benchmark Value

Did active risk create enough return relative to a suitable alternative?

Step 1: Build a Clean Return Series

Use consistent periodic portfolio values after adjusting for external cash flows. Monthly returns are often practical for long-term personal portfolios because daily data can be noisy and incomplete.

Periodic return = (Ending value − Net external cash flow) ÷ Beginning value − 1

For multiple cash flows within a period, use time-weighted subperiod calculations or a recognised approximation. Keep personal XIRR separate from manager or strategy performance.

Step 2: Select the Risk-Free Rate and Target Return

The Sharpe Ratio requires a risk-free return. The Sortino Ratio requires a minimum acceptable return, which may be:

  • zero;
  • a cash or short-term government-security proxy;
  • inflation;
  • the investor's required return;
  • a financial-goal hurdle.

Use the same periodic frequency as the portfolio returns. An annual rate should be converted consistently before subtracting it from monthly returns.

Monthly equivalent = (1 + annual rate)^(1/12) − 1

The Sharpe Ratio

Sharpe Ratio = (Annualised portfolio return − Annual risk-free rate) ÷ Annualised volatility

For periodic data:

Annualised Sharpe ≈ Average periodic excess return ÷ Periodic standard deviation × √Periods per year

The ratio rewards excess return and penalises variability. It is most informative when return distributions are reasonably stable and liquidity is sufficient for observed prices to reflect economic risk.

Worked Sharpe Example

Assume an illustrative portfolio produced 15% annualised return, the selected risk-free rate was 6%, and annualised volatility was 12%.

Sharpe Ratio = (15% − 6%) ÷ 12% = 0.75

A second portfolio returned 13% with 7% volatility:

Sharpe Ratio = (13% − 6%) ÷ 7% = 1.00

The second portfolio produced a lower absolute return but a higher return per unit of historical volatility.

How to Interpret the Sharpe Ratio

Sharpe RatioInitial InterpretationRequired Follow-Up
Below 0Return was below the selected risk-free rateCheck period, strategy role and unusual market conditions
0–0.5Limited excess return per unit of volatilityReview cost, benchmark and drawdown
0.5–1.0Moderate historical efficiencyTest stability across rolling periods
1.0–1.5Strong historical efficiencyCheck leverage, illiquidity and concentration
Above 1.5Very strong observed efficiencyExamine whether the sample was unusually favourable

These are diagnostic ranges, not guarantees or universal standards.

Where Sharpe Can Mislead

  • Upside volatility is treated as undesirable.
  • Illiquid holdings can show artificially smooth prices.
  • Option-like strategies can earn steady gains before rare losses.
  • One favourable market regime can dominate a short sample.
  • Leverage can alter both return and volatility.
  • Non-normal return distributions reduce interpretability.
  • A weak benchmark is irrelevant because Sharpe is not benchmark-relative.

CFA Institute research notes that substantial skewness can reduce the usefulness of the Sharpe Ratio as a complete description of risk-adjusted return.

The Sortino Ratio

Sortino Ratio = (Annualised return − Minimum acceptable return) ÷ Annualised downside deviation

Downside deviation counts returns below a chosen target:

Downside deviation = √[Average(min(0, periodic return − target)²)]

The Sortino Ratio is useful when investors care more about failing to meet a goal than about positive volatility.

Worked Sortino Example

Assume annualised portfolio return is 14%, the investor's target is 7%, and annualised downside deviation is 8%.

Sortino Ratio = (14% − 7%) ÷ 8% = 0.875

Another portfolio returns 13% with downside deviation of 5%:

Sortino Ratio = (13% − 7%) ÷ 5% = 1.20

The second portfolio delivered less return but experienced fewer or smaller observations below the target.

Choosing the Sortino Target

TargetMeaningUse Case
0%Only negative returns count as downsideSimple loss-focused review
Risk-free rateReturns below low-risk alternative count as downsideCapital-efficiency analysis
InflationReal purchasing-power shortfall counts as downsideLong-term wealth preservation
Goal hurdleReturns below required plan return count as downsideGoal-based portfolios
Benchmark returnUnderperformance counts as downsideActive strategy review, though Information Ratio may be cleaner

Changing the target changes the ratio. Disclose the target whenever reporting Sortino.

Sharpe vs Sortino

QuestionSharpeSortino
What risk is penalised?All volatilityOnly returns below target
Best forBroad comparison of liquid portfoliosDownside- and goal-focused investors
Data requirementFull return seriesEnough below-target observations
Main weaknessPenalises upside variationSensitive to target and sample size
Portfolio typeDiversified funds and multi-asset portfoliosAsymmetric or downside-managed portfolios

The Calmar Ratio

Calmar Ratio = Annualised return ÷ Absolute maximum drawdown

Maximum drawdown measures the largest peak-to-trough decline:

Drawdown at time t = Portfolio value at t ÷ Prior peak value − 1
Maximum drawdown = Most negative historical drawdown

Worked Calmar Example

Portfolio A returned 16% annualised and experienced a 32% maximum drawdown.

Calmar Ratio = 16% ÷ 32% = 0.50

Portfolio B returned 13% with an 18% maximum drawdown.

Calmar Ratio = 13% ÷ 18% = 0.72

Portfolio B delivered lower return but better return relative to its worst historical loss.

Why Calmar Matters to Real Investors

Volatility is statistical. Drawdown is experiential. A 40% decline can cause investors to abandon a sound strategy, especially when the portfolio funds near-term goals.

Calmar is useful for:

  • concentrated portfolios;
  • small-cap strategies;
  • tactical portfolios;
  • comparing strategies with similar returns but different drawdowns;
  • assessing whether the investor could realistically remain invested.

Where Calmar Can Mislead

  • It depends on one worst historical event.
  • Recent portfolios may not have experienced a full stress cycle.
  • Maximum drawdown can change sharply after one bad month.
  • It ignores the duration of the drawdown.
  • It does not separate temporary mark-to-market loss from permanent impairment.
  • Illiquid prices can understate the true achievable drawdown.

Add recovery time and underwater duration to the analysis.

Drawdown Recovery Time

Recovery time = Date prior peak is regained − Date drawdown began

Two portfolios can have the same maximum drawdown but very different investor experiences. One may recover in six months; another may remain below peak for five years.

The Information Ratio

Information Ratio = Average active return ÷ Tracking error
Active return = Portfolio return − Benchmark return
Tracking error = Standard deviation of periodic active returns

SEBI's January 2025 circular introduced Information Ratio disclosure for relevant mutual-fund schemes using excess return relative to the Tier 1 benchmark and the variability of that excess return.

Worked Information Ratio Example

Assume a portfolio produced average annualised active return of 3% with tracking error of 6%.

Information Ratio = 3% ÷ 6% = 0.50

Another portfolio produced 2% active return with 2.5% tracking error:

Information Ratio = 2% ÷ 2.5% = 0.80

The second portfolio generated less alpha but did so more consistently relative to its benchmark.

Benchmark Choice Controls the Information Ratio

A mid-cap portfolio compared with the Nifty 50 can show active returns driven by market-cap exposure rather than selection skill. A multi-asset portfolio compared with pure equity can produce misleading tracking error.

The benchmark should match:

  • asset allocation;
  • market-cap universe;
  • sector or factor mandate;
  • geography and currency;
  • total-return methodology.

Sharpe vs Information Ratio

DimensionSharpe RatioInformation Ratio
Reference returnRisk-free rateSelected benchmark
Risk measureTotal portfolio volatilityTracking error
Main questionWas total risk rewarded?Was active risk rewarded?
Best useAsset and portfolio comparisonActive manager or strategy comparison
Main dependencyRisk-free rate and volatilityBenchmark suitability

Bull Run's Return-to-Portfolio-at-Risk Ratio

Historical ratios can miss fundamental loss scenarios. Bull Run adds a scenario-based diagnostic:

Return-to-PaR = Expected annual return ÷ Estimated severe portfolio-at-risk

Portfolio-at-risk is calculated from position weights and severe downside cases across stocks and clusters.

Example:

  • Expected annual return: 14%
  • Estimated severe portfolio-at-risk: 28%
Return-to-PaR = 14% ÷ 28% = 0.50

This is an analytical framework, not a validated forecasting standard. It forces historical performance analysis to confront current fundamental downside.

Use Rolling Periods

A single start and end date can be dominated by luck. Calculate rolling:

  • one-year Sharpe;
  • three-year Sharpe and Sortino;
  • three-year Information Ratio;
  • rolling maximum drawdown;
  • rolling active return;
  • percentage of periods with positive alpha.

Rolling analysis reveals whether a strong full-period ratio came from one favourable segment.

Use Multiple Market Regimes

RegimeWhat to Review
Bull marketUpside participation and concentration
Bear marketDownside capture, drawdown and liquidity
Rate increaseValuation and leverage sensitivity
Small-cap correctionSpread, impact and exit capacity
Commodity shockInput and output-price clusters
Currency movementExporter, importer and international exposure

A portfolio with an excellent long-run Sharpe Ratio may depend heavily on one regime.

Risk-Adjusted Return After Costs and Tax

Investor net return = Gross return − product cost − trading friction − tax drag

For direct-stock portfolios, estimate brokerage, levies, spreads, market impact and realised taxes. For funds, review expense ratio, tracking difference, exit load and investor-level tax on redemption or switching.

Calculate ratios on both gross and investor-net returns where data permits. A high-turnover strategy may look attractive before friction and ordinary after it.

Worked Example 1: High Return, Low Efficiency

Portfolio A returns 20% with 28% volatility and a 45% drawdown. Portfolio B returns 15% with 12% volatility and a 20% drawdown. Using the same risk-free rate, Portfolio B can have stronger Sharpe and Calmar ratios despite lower headline return.

Worked Example 2: Smooth Illiquid Portfolio

A portfolio of thinly traded small caps reports low monthly volatility because several stocks do not trade continuously. Its Sharpe Ratio looks excellent.

Liquidity stress reveals wide spreads, lower circuits and long exit periods. The observed ratio overstates executable risk-adjusted performance.

Worked Example 3: Index-Like Active Fund

An active fund produces 1% annualised alpha with 1.5% tracking error. Its Information Ratio is approximately 0.67. Active Share is low.

The fund is consistent relative to the benchmark, but investors must still ask whether fees justify the small deviation from a lower-cost index alternative.

Worked Example 4: Concentrated Winner

A direct portfolio outperforms because one 15% stock triples. Sharpe and Information Ratio improve.

The investor should recalculate concentration and severe portfolio-at-risk. Historical success may have increased future dependence on the same company.

Worked Example 5: Strong Sortino, Weak Sharpe

A momentum strategy has frequent large positive months and moderate downside. Total volatility is high, reducing Sharpe, while downside deviation is lower, improving Sortino.

The difference is informative, not contradictory. The ratios use different definitions of risk.

Worked Example 6: Good Calmar, Slow Recovery Hidden

Two portfolios have a 25% maximum drawdown and similar annualised returns. One recovers in nine months; the other remains underwater for four years.

Calmar is similar, but recovery-time analysis shows very different suitability for investors with approaching goals.

Worked Example 7: Wrong Benchmark, Wrong IR

A small-cap portfolio is compared with a large-cap index. It generates high active return during a small-cap rally and high tracking error.

The Information Ratio cannot isolate selection skill because the benchmark does not match the opportunity set.

Worked Example 8: Negative Sharpe in a Necessary Hedge

A defensive asset produces a negative standalone Sharpe Ratio during a strong equity market but reduces total portfolio drawdown and improves liquidity.

Standalone ratios should not be used without considering portfolio role.

Worked Example 9: Tax Changes the Ranking

Two strategies have similar gross Sharpe Ratios. One realises gains frequently and creates higher investor tax drag. After-tax return reduces its net Sharpe below the lower-turnover strategy.

Worked Example 10: Short Sample Creates False Confidence

A strategy launched after a market crash experiences two strong years and no severe decline. Sharpe, Sortino and Calmar all look exceptional.

The correct conclusion is limited evidence. Stress tests and longer comparable histories remain necessary.

The Risk-Adjusted Performance Scorecard

QuestionMetricWarning Sign
Was total volatility rewarded?Sharpe RatioHigh ratio caused by stale or illiquid prices
Was downside risk rewarded?Sortino RatioVery few below-target observations
Was the worst drawdown justified?Calmar RatioShort history without a stress cycle
Was active risk rewarded?Information RatioBenchmark mismatch
Can the investor remain invested?Drawdown and recovery timeGoal horizon shorter than recovery history
Can positions be exited?Stress exit daysObserved volatility ignores liquidity
Can one thesis cause permanent damage?Portfolio-at-riskHistorical ratios hide concentration
Did performance survive friction?Net risk-adjusted returnGross results disappear after cost and tax

Quarterly Risk-Adjusted Return Audit

Step 1: Reconcile portfolio values and cash flows

Create a clean periodic return series.

Step 2: Verify the benchmark

Use a suitable total return index or policy blend.

Step 3: Choose risk-free and target returns

Keep rates and periodic conversions consistent.

Step 4: Calculate Sharpe and Sortino

State the frequency, sample and target.

Step 5: Calculate drawdown, recovery time and Calmar

Review both depth and duration.

Step 6: Calculate active return and Information Ratio

Interpret only against a matched benchmark.

Step 7: Add hidden-risk tests

Concentration, liquidity, debt, governance and portfolio-at-risk.

Step 8: Review rolling periods and regimes

Do not rely on one start date.

Step 9: Calculate investor-net results

Include fees, trading friction and estimated tax drag where possible.

Common Risk-Adjusted Return Mistakes

1. Comparing ratios built from different frequencies

Daily, monthly and annual calculations are not automatically comparable.

2. Using a price index instead of TRI

Benchmark return may omit dividends.

3. Changing the risk-free rate selectively

The comparison becomes inconsistent.

4. Reporting Sortino without the target

The denominator depends on the selected hurdle.

5. Treating volatility as permanent-loss risk

Governance, debt and dilution require separate analysis.

6. Ignoring drawdown duration

Equal drawdowns can create very different investor outcomes.

7. Using a mismatched benchmark for Information Ratio

Market-cap or sector exposure can be mistaken for skill.

8. Ignoring costs and taxes

Gross efficiency may not survive implementation.

9. Trusting short histories

A strategy may not have experienced a difficult regime.

10. Selecting the ratio that looks best

Different measures should diagnose different risks.

How Bull Run Features Fit the Analysis

Use the Bull Run watchlist to track candidate risk, valuation and portfolio role before adding a new source of volatility.

Use Bull Run Compare to compare the fundamental quality behind two return streams. Similar historical ratios can hide very different debt, cash-flow and valuation risks.

The Stock Battle tool can compare holdings competing for one risk budget. Smart Screeners can support a repeatable process instead of performance chasing.

Primary Sources

Disclaimer

This article is for educational and informational purposes only. It is not personalised investment, tax or legal advice, a model portfolio or a recommendation to buy, hold or sell any security. Historical volatility, drawdown and risk-adjusted ratios do not predict future results. Calculation methods, benchmarks and data frequencies can materially change outputs. Bull Run is not a SEBI-registered Research Analyst or Investment Adviser.

The Practical Conclusion

Use Sharpe to measure return relative to total volatility, Sortino to focus on downside shortfall, Calmar to judge return relative to the worst drawdown and Information Ratio to evaluate benchmark-relative consistency. Then add concentration, liquidity, governance and severe-downside tests. A portfolio is attractive only when its returns remain efficient after the risks that matter to the investor are measured honestly.