Information Ratio Calculator
Last updated: 27 June 2026
Reviewed by Gavin Meiring, Lead research and primary author ยท Doctoral Candidate (Corporate Governance) ยท Research and drafting assisted by AI
- The Information Ratio measures active return per unit of tracking error โ how much extra return a manager earns for each unit of risk taken relative to the benchmark.
- Its roots go back to a 1973 paper by Jack Treynor and Fischer Black on combining security analysis with portfolio selection, and it was popularised by Grinold and Kahn's book 'Active Portfolio Management'.
- Grinold and Kahn's rule of thumb: an Information Ratio of 0.5 is good, 0.75 is very good, and 1.0 is exceptional โ but because the ratio divides by tracking error, a manager can flatter it by taking less benchmark-relative risk.
Information Ratio Calculator
The information ratio measures the consistency and magnitude of a portfolio manager's outperformance relative to a benchmark, adjusting for the active risk taken to achieve it. It is used by institutional investors, fund selectors, and analysts who want to evaluate whether an active manager consistently adds value beyond what the benchmark delivers.
How to Use the Information Ratio Calculator
- Enter the portfolio's returns for each period (monthly or annually) over the evaluation window.
- Enter the benchmark's returns for the same periods.
- The calculator computes the active return (portfolio return minus benchmark return) for each period.
- It calculates the mean active return and the standard deviation of active returns (tracking error).
- The information ratio is the mean active return divided by the tracking error.
The Formula
Information Ratio = Mean Active Return divided by Tracking Error
Active Return (each period) = Portfolio Return minus Benchmark Return
Mean Active Return = Average of all active returns over the period
Tracking Error = Standard Deviation of the active returns over the period
Where:
- A positive information ratio indicates consistent outperformance
- A negative ratio indicates consistent underperformance
- The higher the ratio, the more efficiently the manager generates excess returns per unit of active risk
The information ratio is closely related to the Sharpe ratio but focuses on active management quality rather than absolute risk-adjusted returns. The benchmark is the relevant universe return rather than the risk-free rate.
Real-World Example
A UK equity fund manager is assessed over 12 months. Monthly portfolio returns and benchmark returns are compared:
Mean monthly active return (portfolio outperforming benchmark): 0.32% per month Tracking error (standard deviation of monthly active returns): 1.85% per month
Information Ratio = 0.32% divided by 1.85% = 0.173 (monthly)
Annualised Information Ratio = 0.173 multiplied by square root of 12 = 0.173 multiplied by 3.464 = 0.599
An annualised information ratio of 0.6 is considered competent active management. Ratios above 0.5 are viewed as good, and consistently above 1.0 is exceptional and rare over long periods.
What Constitutes a Good Information Ratio?
The investment industry broadly uses the following benchmarks for interpreting information ratios. A ratio below 0.0 indicates net underperformance relative to the benchmark on a risk-adjusted basis, after active risk is taken. Between 0.0 and 0.5 is below average active management. Between 0.5 and 0.75 is respectable and represents competent active management. Between 0.75 and 1.0 is strong, achieved by top-quartile managers. Above 1.0 is exceptional and very rarely sustained over full market cycles. Research by Grinold and Kahn in "Active Portfolio Management" suggests that a consistently high information ratio is one of the most reliable indicators of genuine skill rather than luck. However, no ratio should be evaluated in isolation; always consider the length of the track record, the market regime, and whether the manager's process has remained consistent.
Frequently Asked Questions
How does the information ratio differ from the Sharpe ratio? The Sharpe ratio measures total portfolio return above the risk-free rate per unit of total volatility. The information ratio measures active return above the benchmark per unit of tracking error (active volatility). Sharpe ratio evaluates absolute risk-adjusted performance; information ratio evaluates active management skill specifically.
What time period should I use to calculate the information ratio? A minimum of three years of monthly data is generally required for statistical reliability. Five years or more is preferred because shorter periods may reflect luck rather than skill. The ratio should also be evaluated across different market cycles, not just bull markets or periods that favoured the manager's style.
What is tracking error and why does it matter? Tracking error is the standard deviation of the difference between portfolio and benchmark returns. It measures how actively a manager deviates from the benchmark. A low tracking error means the portfolio closely mirrors the benchmark (passive-like). A high tracking error indicates concentrated active bets. The information ratio reveals whether those active bets were rewarded.
Can a high information ratio guarantee future outperformance? No. Past information ratios are useful evidence of skill but do not guarantee future results. Manager skill, investment opportunity sets, market conditions, and team stability all change over time. Use the information ratio as one input alongside process review, attribution analysis, and qualitative assessment.
Understanding the Information Ratio
The Information Ratio is one of the most-requested tools in the information ratio category because it condenses a calculation that would otherwise require manual work, a spreadsheet, or a specialist program into a single input-and-output step. whether you are a student, a professional, or a curious learner, the Information Ratio is designed to deliver a quick and trustworthy answer without forcing you to install anything or sign up for an account. Behind the scenes, the Information Ratio applies well-established mathematical or scientific formulas to the values you provide. the aim of Information Ratio is to remove the friction of hand calculation while still showing you the underlying method, so you can confidently interpret the result. Every calculation is performed locally in your browser, which means your inputs never leave your device.
When Should You Use the Information Ratio Calculator?
Use the Information Ratio Calculator whenever you need a quick, reliable answer that fits the tool's scope. Common situations for the Information Ratio Calculator include homework problems, workplace tasks, financial planning, fitness or health tracking, and everyday curiosity. If the Information Ratio Calculator answer will be used for a decision that has legal, medical, or financial consequences, treat the result as a starting point and verify it with a qualified professional. The Information Ratio Calculator is free to use, requires no sign-up, and works on any device with a modern browser. You can run the Information Ratio Calculator as many times as you like, change the inputs, and compare results side by side.
Common Inputs and How to Choose Them
Most Information Ratio Calculator problems revolve around a small set of inputs.
- the portfolio's returns for each period (monthly or annually) over the evaluation window is usually the first value to pin down for the Information Ratio Calculator.
- the benchmark's returns for the same periods sets the context the Information Ratio Calculator needs for a sensible result.
- calculator computes the active return (portfolio return minus benchmark return) for each period refines the Information Ratio Calculator output where the data is available. Identifying the right values is the most important step for the Information Ratio Calculator, because the answer is only as accurate as the data you put in. If a value is unknown, prefer a conservative estimate over a guess when using the Information Ratio Calculator.
How to Interpret the Result
The numerical answer from the Information Ratio Calculator alone is rarely the whole story. Read the units, the precision, and any warnings shown alongside the Information Ratio Calculator result. Understanding the path from inputs to output in the Information Ratio Calculator makes it easier to spot errors, communicate the result to others, and reuse the method for related problems in the future.
Worked Examples
A typical Information Ratio Calculator run takes reasonable inputs, produces a sensible answer, and returns it in a single click. Example: A UK equity fund manager is assessed over 12 months. Monthly portfolio returns and benchmark returns are compared: Mean monthly active return (portfolio outperforming benchmark): 0.32% per month Tracking error (standard deviation of monthly active returns): 1.85% per month Information Ratio = 0.32% divided by 1.85% = 0.173 (monthly) Annualised Information Ratio = 0.173 multiplied by square root of
Common Mistakes to Avoid
Common mistakes with the Information Ratio Calculator:
- Mixing up units (for example, entering one unit when the Information Ratio Calculator expects another).
- Forgetting to convert percentages to decimals or vice versa where the Information Ratio Calculator formula requires it.
- Using a snapshot value that no longer reflects reality for the Information Ratio Calculator, especially for time-sensitive inputs like prices, rates, or counts.
- Rounding intermediate steps too early and then carrying the rounded value forward in the Information Ratio Calculator.
- Treating the Information Ratio Calculator as a substitute for professional advice when the decision is high-stakes.
Limitations and Assumptions
No calculator is a perfect model of reality, and the Information Ratio Calculator is no exception. The Information Ratio Calculator makes simplifying assumptions to keep the math tractable: it ignores rare cases, applies default values where inputs are missing, and uses formulas that suit the typical situation rather than the exotic one. When your situation falls outside the typical case, the Information Ratio Calculator result may drift further from the truth. If you need a more precise answer than the Information Ratio Calculator provides, the next step is usually a specialist, a more detailed reference, or a domain-specific tool.
Related Tools and References
For more depth on the Information Ratio Calculator topic, consult textbooks, academic papers, or reputable online resources. Reputable sources for the Information Ratio Calculator include government statistics agencies, university extension services, and peer-reviewed journals. Wikipedia is a useful starting point for definitions and formulas behind the Information Ratio Calculator, but always follow the citations to the original source before relying on a number. If you find that you need the same Information Ratio Calculator calculation repeatedly, consider writing down the inputs and the result in a note so you can build a personal record over time.
Quick Reference
- Free to use: yes, no sign-up required.
- Privacy: all calculations run locally in your browser.
- Units: metric and imperial supported where applicable; check the input labels.
- Speed: instant, no page reload.
- Mobile friendly: yes, works on phones and tablets.
- Offline: once the page has loaded, the calculation continues to work without a network connection.
References - General-purpose math references such as Wolfram MathWorld and Khan Academy for foundational formulas.
- Wikipedia articles on the relevant topic, with citations to primary sources, cover the Information Ratio Calculator background.
- Peer-reviewed journals and textbooks give the most rigorous treatments of the Information Ratio Calculator method.Tools/tools/calculator) - Percentage Calculator - Unit Converter
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