Information Ratio Calculator
Active manager skill.
Calculate the information ratio to measure active manager skill as excess return divided by tracking error against a chosen benchmark.
What this tool does
This calculator computes the information ratio, a metric that expresses active manager performance as excess return relative to benchmark divided by the volatility of that excess return. The result shows return per unit of active risk — illustrating how efficiently a portfolio's outperformance (or underperformance) is achieved compared to its benchmark. Portfolio return, benchmark return, and tracking error are the primary inputs that determine the outcome. A typical application is assessing whether a manager's returns justify the active risk taken. The calculator provides context bands to help interpret the ratio numerically. Note that this tool models historical or hypothetical scenarios for illustration only and does not account for fees, tax impacts, or future market conditions. Results reflect the inputs provided and should not be viewed in isolation from broader portfolio analysis.
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Formula Used
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Disclaimer
Results are estimates for educational purposes only. They do not constitute financial advice. Consult a qualified professional before making financial decisions.
Information ratio measures active management skill: active return / tracking error. 1% excess return with 3% tracking error = IR 0.33 (modest skill). 2% excess with 2% TE = IR 1.0 (excellent). IR > 0.5: good. IR > 1.0: top quartile. Negative: underperforming benchmark.
Example: portfolio returns 13% vs benchmark 11% (active return 2%). Tracking error 2%. Information ratio = 1.0. Excellent active management - beating benchmark by meaningful margin with controlled deviation. Compare against peer managers - IR > 0.5 over 5+ years signals genuine skill, not luck.
IR limitations: (1) Short-term IR misleading (2-3 year results often luck). Need 5-10 years for skill assessment. (2) Survivorship bias inflates reported IRs. (3) Style drift confuses interpretation. (4) Doesn't capture downside skewness (manager could have IR 1.0 but deliver disasters in tail events). Use IR alongside Sharpe, max drawdown, and qualitative assessment of manager process. Renaissance Technologies famously IR > 2.0 for decades; most active managers under 0.5.
A worked example
Try the defaults: portfolio return of 13%, benchmark return of 11%, tracking error of 2%. The tool returns 1.00. You can adjust any input and the result updates as you type — no submit button, no reload. That's the real power here: seeing how sensitive the output is to one or two assumptions.
What moves the number most
The result responds to Portfolio Return %, Benchmark Return %, and Tracking Error %. Not every input has equal weight. Adjusting one input at a time toward extreme values shows which ones move the result most.
The formula behind this
Information ratio = active return / tracking error. Everything the calculator does is shown in the formula box below, so you can check the math against your own spreadsheet if you want.
Where this fits in planning
This is a "what-if" tool, not a forecast. Use it to test ideas before committing: what happens if the rate is 2% lower than hoped, what happens if you add five more years. The value is in the scenarios you run, not the single answer you get from the defaults.
What this doesn't capture
Steady-rate math ignores real-world volatility. Actual returns are lumpy; sequence-of-returns risk matters most in drawdown; fees and taxes drag on compound growth; and behaviour changes in drawdowns can reduce outcomes below the projection. The number represents one scenario rather than a forecast.
(13% - 11%) / 2% TE = 1.00.
Inputs
This example uses typical values for illustration. Adjust the inputs above to match a specific situation and see how the result changes.
Sources & Methodology
Methodology
This calculator computes the information ratio, a measure of active management performance relative to risk taken. The calculation subtracts the benchmark return from the portfolio return to derive active return, then divides this result by tracking error—the standard deviation of active return over the measurement period. The output expresses how much excess return is generated per unit of active risk. The model assumes returns and tracking error remain consistent over the period measured, and treats all active decisions as equally sustainable. It does not account for transaction costs, market impact, portfolio turnover, survivorship bias, or the statistical significance of the ratio itself. Results are sensitive to the choice of benchmark and measurement period.
References
Frequently Asked Questions
What's a good IR?
IR vs Sharpe?
Time period needed?
IR limitations?
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