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Information Ratio Calculator

The information ratio quantifies a portfolio manager's ability to deliver returns above a chosen benchmark relative to the consistency of that outperformance. It combines excess return with tracking error—the volatility of performance deviation—into a single metric. Investors and analysts use it to distinguish between genuine skill and luck, making it invaluable for assessing active management quality.

Last updated:

Creators Arturo Barrantes, MSc Finance
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Understanding the Information Ratio

The information ratio measures how efficiently a portfolio manager converts their forecasting ability into outperformance. Unlike the Sharpe ratio, which benchmarks against a risk-free rate, the information ratio compares portfolio results directly to a market index or other appropriate benchmark.

A higher information ratio signals that a manager consistently beats their benchmark with controlled deviations. Conversely, a low or negative ratio suggests the manager either underperforms the index or does so with excessive volatility—failing to justify active management fees. Most institutional investors consider an information ratio above 0.5 respectable, with 1.0 or higher indicating excellent skill.

  • Excess return is the portfolio return minus the benchmark return
  • Tracking error measures the standard deviation of excess returns over time
  • The ratio isolates alpha generation from market-wide movements

Information Ratio Formula

Begin by calculating your portfolio's total return, then divide the excess return by its tracking error:

Portfolio Return = (Ending Value − Beginning Value) ÷ Beginning Value

Information Ratio = (Portfolio Return − Benchmark Return) ÷ Tracking Error

  • Portfolio Return — The percentage gain or loss from your beginning to ending portfolio value
  • Benchmark Return — The return of your chosen market index or comparison standard
  • Tracking Error — The standard deviation of the difference between portfolio and benchmark returns

Practical Example with Numbers

Imagine a fund manager with a portfolio starting at $2,000,000 and ending at $2,200,000. The S&P 500 (benchmark) returned 8%, while the fund's tracking error is 5%:

  • Portfolio return: ($2,200,000 − $2,000,000) ÷ $2,000,000 = 10%
  • Excess return: 10% − 8% = 2%
  • Information ratio: 2% ÷ 5% = 0.40

This 0.40 ratio suggests moderate outperformance, though not exceptional given the tracking error incurred. The manager beat the benchmark but with meaningful deviations from its holdings.

Information Ratio vs. Sharpe Ratio

Both metrics assess risk-adjusted performance, but they answer different questions. The Sharpe ratio divides excess return above the risk-free rate by portfolio volatility—useful for evaluating absolute return strategies or comparing portfolios with no natural benchmark. The information ratio, by contrast, isolates active management skill by measuring outperformance relative to a specific index.

Choose the information ratio when evaluating fund managers against their stated mandate or peer group. Use Sharpe ratio when assessing standalone portfolios or comparing strategies that may follow entirely different investment philosophies. Many professional investors calculate both to gain complementary insights.

Key Considerations When Interpreting Results

Information ratio interpretation requires understanding its limitations and proper context.

  1. Short measurement periods mask volatility patterns — A three-year information ratio may not reveal whether outperformance is consistent or clustered in fortunate months. Extend your analysis to five or ten years where possible, especially for equity managers whose alpha may vary by market cycle.
  2. Tracking error can artificially suppress the ratio — A manager who takes large, volatile positions relative to the benchmark will show high tracking error, depressing their information ratio even if they're genuinely skilled. Low tracking error managers may post stronger ratios simply by staying closer to index weights.
  3. Benchmark mismatches distort the metric — If a manager's actual holdings diverge substantially from the stated benchmark—such as a value-tilted portfolio compared against a cap-weighted index—the information ratio becomes misleading. Always confirm the benchmark matches the manager's actual strategy.
  4. Past ratios rarely predict future performance — An information ratio of 0.8 last year does not guarantee 0.8 this year. Market regimes shift, manager teams change, and asset flows affect returns. Use the metric as one data point, not a crystal ball.

Frequently Asked Questions

How do I choose an appropriate benchmark?

Select a benchmark that reflects the asset class and geographic market your portfolio targets. A US large-cap equity fund should use the S&P 500 or Russell 1000, while a UK-focused portfolio would benchmark against the FTSE 100. For bond portfolios, use the Bloomberg Aggregate Bond Index or similar fixed-income benchmark. The benchmark should be transparent, liquid, and achievable—if it's impossible to replicate the index, it's not a fair comparison. Consider whether the manager has explicitly committed to tracking that specific benchmark in their fund documentation.

What does a negative information ratio indicate?

A negative information ratio means the portfolio underperformed its benchmark on a risk-adjusted basis. This occurs when the excess return (portfolio return minus benchmark return) is negative—the portfolio lagged the index. Even if the manager's absolute returns were positive, a negative information ratio signals they failed to add value relative to a passive alternative. This may reflect poor stock selection, bad market timing, or structural constraints. For active managers charging fees, consistent negative ratios justify switching to a lower-cost index fund tracking the same benchmark.

Is a 1.0 information ratio considered good?

An information ratio of 1.0 or higher is genuinely excellent and places a manager in the top tier of their peer group. It means the portfolio delivered one percentage point of excess return for every percentage point of tracking error. Most active managers struggle to consistently post information ratios above 0.5, especially after fees. Context matters: a 1.0 ratio from a fixed-income manager is more impressive than from a small-cap equity manager, where higher volatility and less efficiency competition make outperformance easier. Use peer benchmarks and multi-year track records to contextualize the result.

How does tracking error affect the information ratio?

Tracking error directly impacts the denominator of the ratio, so higher tracking error reduces the information ratio even if excess returns stay constant. A manager generating 3% excess return with 2% tracking error scores 1.50, but the same 3% excess with 6% tracking error scores only 0.50. This creates a trade-off: aggressive managers can generate large excess returns but risk high tracking error that dampens their ratio. Conservative managers with tight tracking may show lower ratios despite respectable outperformance. Some investors prefer managers with controlled tracking error, viewing it as evidence of disciplined, replicable strategies.

Why do some managers have negative excess returns but positive information ratios?

This cannot happen mathematically. If excess return (portfolio return minus benchmark return) is negative, the numerator of the information ratio is negative. Dividing a negative number by positive tracking error produces a negative information ratio. A manager cannot have positive information ratio and negative excess return simultaneously. If you observe this, check whether the benchmark definition has changed, fees have been applied, or performance data includes survivorship bias. Always verify the calculation inputs before questioning the result.

Can information ratio compare managers across different asset classes?

No—comparing information ratios across asset classes is unreliable. An equity manager posting 0.6 and a bond manager posting 0.4 may have vastly different skill levels because equity and bond markets have different volatility, liquidity, and efficiency characteristics. Tracking error baselines differ significantly: equity tracking errors typically range 2–8%, while bond tracking errors often stay below 1%. Instead, compare managers only within their asset class and style category. Use peer group medians for your specific strategy (large-cap US, emerging markets, investment-grade bonds, etc.) as reference points.

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