Information Ratio (IR) is a risk-adjusted performance metric that measures excess return above a benchmark, divided by the standard deviation of that excess return, revealing whether you’re outperforming the benchmark enough to justify the relative risk taken.
The Concept
Information Ratio answers: After accounting for the risk I took relative to a benchmark, how much excess return did I generate?
It’s commonly used by fund managers because they’re measured against indices. A fund manager returning +10% is only good if the benchmark returned +8%. Outperformance by 2% is the alpha (excess return).
Formula: IR = (Strategy Return - Benchmark Return) / Tracking Error
Tracking Error = Standard deviation of the differences between strategy and benchmark returns.
Simple Example
Your trading: +12% return with tracking error of 4% vs. a benchmark. Benchmark return: +8%
IR = (12% - 8%) / 4% = 4% / 4% = 1.0
You generated 1.0% excess return for every 1% of relative risk. This is excellent.
Compare to another trader:
Competitor trading: +10% return with tracking error of 2% vs. same benchmark.
IR = (10% - 8%) / 2% = 2% / 2% = 1.0
Identical IR despite lower absolute return, because the tracking error was tighter.
| Trader | Strategy Return | Benchmark Return | Tracking Error | IR |
|---|---|---|---|---|
| You | +12% | +8% | 4% | 1.0 |
| Competitor | +10% | +8% | 2% | 1.0 |
Both traders have the same IR but your strategy had higher absolute return. The IR is identical because you took proportionally more relative risk.
What’s a “Good” Information Ratio?
- IR < 0.5: Weak. You’re barely beating the benchmark relative to your risk.
- IR 0.5–1.0: Good. You’re generating meaningful excess return per unit of relative risk.
- IR > 1.0: Excellent. You’re generating strong alpha relative to your benchmark.
- IR > 2.0: Exceptional. Rarely seen outside of elite traders or quant funds.
For context: Most actively managed mutual funds have an IR below 0.5, meaning they barely justify their fees.
Information Ratio vs. Sharpe Ratio
These metrics measure different things:
Sharpe Ratio: (Return - Risk-free Rate) / Volatility
- Measures absolute return per unit of total risk
- Doesn’t compare to a benchmark
- Used for standalone performance evaluation
Information Ratio: (Return - Benchmark Return) / Tracking Error
- Measures excess return per unit of relative risk
- Compares to a specific benchmark
- Used to evaluate outperformance
Forex trader context:
If your trading system returns +10% per year with 8% volatility:
Sharpe Ratio = (10% - 2% risk-free) / 8% = 1.0 (good)
Information Ratio = (10% - 8% benchmark return) / tracking error
- If you track the USD index closely, IR might be 0.3 (weak, not outperforming much)
- If you trade very differently from the USD index, IR might be 1.2 (strong, good alpha)
Most forex traders don’t have a clear benchmark, making Information Ratio less useful than Sharpe Ratio.
Tracking Error: The Hidden Cost
Tracking Error measures how differently you perform from the benchmark. High tracking error means you’re taking significant relative risk.
Example 1: Your strategy and benchmark both return +10%, but you deviate ±5% most months. Tracking error is 5%. IR = 0% / 5% = 0 (worthless, no outperformance despite high relative risk).
Example 2: Your strategy returns +12%, benchmark returns +10%, and you deviate only ±2%. Tracking error is 2%. IR = 2% / 2% = 1.0 (excellent, good outperformance with tight relative risk).
You’d rather have Example 2—lower tracking error with outperformance beats high tracking error with identical returns.
Why Traders Should Care
If you have a defined benchmark (say, “I trade only EUR/USD pairs, so my benchmark is the EUR/USD trend”), Information Ratio reveals whether your strategy’s alpha justifies the relative risk you’re taking.
Real example:
- Your EUR/USD strategy returns +15% annually
- Buying and holding EUR/USD returns +8% annually
- Your strategy’s tracking error vs. buy-hold is 3%
- IR = (15% - 8%) / 3% = 7% / 3% = 2.33
An IR of 2.33 is exceptional. You’re generating $2.33 of excess return for every $1 of relative risk—a highly efficient strategy.
Limitations for Retail Traders
Information Ratio is most useful for:
- Fund managers measured against indices
- Traders with a clear benchmark (EUR/USD traders vs. EUR/USD trend, or “prop firm traders” vs. forex market)
Most retail traders don’t have a clear benchmark, making Information Ratio less actionable than Sharpe Ratio or Profit Factor.
If you do have a benchmark (your own historical performance, a competitor’s system, a specific strategy), Information Ratio helps you measure whether your alpha is real.
Real Scenario
A prop firm trader aims to beat the firm’s required return (say, 5% monthly risk of ruin minimum).
Trader’s results: +8% monthly, tracking error (vs. required 5%) is 3%.
IR = (8% - 5%) / 3% = 3% / 3% = 1.0
The trader is generating meaningful alpha relative to the firm’s requirement. Solid.
But if the trader achieved +8% with tracking error of 6%, IR = 3% / 6% = 0.5 (weaker alpha relative to risk).
The Information Ratio reveals the trader’s efficiency, not just absolute return.
Key Takeaway
Information Ratio is powerful when you have a benchmark. For most forex traders, a better metric is the Sharpe Ratio (absolute risk-adjusted return) or simple profit-to-loss ratios.
That said, if you’re comparing your strategy to a specific benchmark system, Information Ratio is the correct metric to measure whether you’re truly outperforming.
PipJournal helps you define benchmarks (your own prior results, a competitor’s system, a specific index) and calculates your Information Ratio automatically. You’ll see whether your trading truly generates alpha relative to your chosen benchmark, or if you’re just taking extra risk for no excess return.
