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§01 · EDITORIAL · GLOSSARY · INFORMATION-RATIO

Information Ratio

Information Ratio (IR) = active return / tracking error. Measures consistency of active management skill. An IR above 0.5 indicates competent outperformance relative to active risk taken vs benchmark.

Glossaryglossary

Information Ratio (IR) measures the consistency and magnitude of an active fund manager's outperformance relative to its benchmark, expressed as active return per unit of active risk (tracking error). It is the gold standard for evaluating active management skill.

Formula

IR = (Rp − Rb) / TE

Where: Rp = annualised portfolio return, Rb = annualised benchmark return (TRI-based), TE = tracking error = annualised standard deviation of (Rp − Rb), the period-by-period active return differential.

Tracking Error = σ of (Rp,i − Rb,i) × √12 (monthly series) or × √252 (daily series).

IR is essentially the Sharpe Ratio of active returns: numerator is the average active return, denominator is its consistency.

Why IR Matters for Active Fund Evaluation

Two large-cap funds may both show 2% annualised alpha over a benchmark. Fund A achieves this by consistently beating the benchmark by 1.5–2.5% each year (low tracking error ≈ 3%). Fund B achieves the same 2% alpha by beating by 8% one year and losing by 4% the next (high tracking error ≈ 9%). Fund A's IR = 2/3 = 0.67; Fund B's IR = 2/9 = 0.22. The alpha was identical but Fund A's skill is far more reliable — IR captures this.

SEBI Circular SEBI/HO/IMD/DF2/CIR/P/2021/647 mandates tracking error disclosure for index funds and ETFs. For active funds, IR is an analytics-layer metric computed by platforms; AMC factsheets do not disclose it directly.

Worked Example (Indian Context)

Kotak Flexicap Fund – Direct Plan vs Nifty 500 TRI (declared benchmark), 36-month monthly data:
Monthly active return series: mean = +0.18% per month, σ of active returns = 1.45% per month.
Annualised active return = 0.18% × 12 = 2.16%.
Annualised tracking error = 1.45% × √12 = 5.02%.
IR = 2.16 / 5.02 = 0.43

Industry benchmark: an IR of 0.5 is considered competent active management; IR > 0.7 is exceptional; IR < 0.2 suggests the active bets are inconsistent relative to cost.

Interpretation Table

IR RangeActive Management Signal
< 0.2Inconsistent; active risk not being rewarded
0.2 – 0.5Moderate; active bets yielding some positive result
0.5 – 0.75Competent active management; worth the TER premium
> 0.75Exceptional; rare and likely to mean-revert over longer windows

Caveats

IR is sensitive to benchmark choice — an actively managed flexicap fund benchmarked against Nifty 50 (a subset of its universe) will show an inflated IR vs. a fund benchmarked against Nifty 500. Always compare IR within the same SEBI sub-category with the same benchmark. IR also requires a sufficient observation window (≥3 years monthly) to be statistically meaningful.

Related terms: Alpha, Tracking Error, Treynor Ratio, Sharpe Ratio, Rolling Returns.

Primary source: Grinold & Kahn (1999), "Active Portfolio Management" (IR framework). SEBI TE disclosure mandate: Circular SEBI/HO/IMD/DF2/CIR/P/2021/647.

Past performance is not indicative of future returns. Mutual fund investments are subject to market risks. Read all scheme-related documents carefully. ARN-314872. APMI APRN-01658. Content is informational and not investment advice.

Reviewed · January 2026

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Glossary definitions are written for Indian capital allocators first; where US convention differs, the entry calls that out explicitly. MintByte is an AMFI-registered mutual fund distributor (ARN-314872); SEBI Registered Investment Adviser and Research Analyst registrations are in process. Not investment advice.