18.2 The Information Ratio & Selecting the Right Risk-Adjusted Metric

Key Takeaways

  • The information ratio divides annualized active return by tracking error, the standard deviation of active return.
  • Tracking error near zero makes the information ratio unstable and effectively meaningless for a closet indexer.
  • The correct metric depends on the question: total risk for a whole portfolio, beta for a component, tracking error for benchmark-relative skill.
  • No single risk-adjusted measure is universally superior; each embeds a different definition of risk.
Last updated: August 2026

18.2 The Information Ratio & Selecting the Right Risk-Adjusted Metric

1. Benchmark-Relative Active Measures: Information Ratio (IR)

When evaluating active managers hired to outperform a specific assigned benchmark (e.g., a Russell 2000 Value manager against the Russell 2000 Value Index), traditional CAPM metrics may fail if the manager's mandate deviates from broad market beta. The Information Ratio (IR) evaluates active return per unit of active risk (tracking error).

Mathematical Formulation

Information Ratio=IR=Active ReturnActive Risk=RpRbTracking Error=RpRbσ(RpRb)\text{Information Ratio} = \text{IR} = \frac{\text{Active Return}}{\text{Active Risk}} = \frac{\overline{R_p - R_b}}{\text{Tracking Error}} = \frac{\overline{R_p - R_b}}{\sigma_{(R_p - R_b)}}

Where:

  • $\overline{R_p - R_b}$ = Mean active return (arithmetic excess return over benchmark $R_b$)
  • $\text{Tracking Error (TE)} = \sigma_{(R_p - R_b)} = \sqrt{\frac{1}{T-1} \sum_{t=1}^{T} \left( (R_{p,t} - R_{b,t}) - \overline{R_p - R_b} \right)^2}$ = Annualized standard deviation of excess returns
                             The Information Ratio Architecture

               Active Return (Rp - Rb) ──► Value added from stock/sector bets
              ───────────────────────── = Information Ratio (IR)
                 Tracking Error (TE)   ──► Volatility of excess returns (Active Risk)

          IR Tier                  Manager Quality Assessment
          ───────                  ──────────────────────────
          < 0.00                   Destructive / Underperforming Benchmark
          0.00 – 0.49              Mediocre / Inconsistent Value Added
          0.50 – 0.74              Good / Strong Institutional Manager
          0.75 – 0.99              Very Good / Top-Decile Performance
          ≥ 1.00                   Exceptional / Rare Elite Skill

The Fundamental Law of Active Management (Grinold & Kahn)

Richard Grinold and Ronald Kahn established that a manager's Information Ratio is driven by two independent components: forecasting skill and breadth of independent investment decisions:

IRInformation Coefficient (IC)×Breadth (BR)\text{IR} \approx \text{Information Coefficient (IC)} \times \sqrt{\text{Breadth (BR)}}

Where:

  • Information Coefficient (IC): Correlation between manager forecasts and actual realized returns (measures depth of skill, typically $0.03$ to $0.08$).
  • Breadth (BR): Number of independent investment decisions made per year.

2. Comprehensive Comparison & Metric Selection Framework

Comparative Matrix: Risk-Adjusted Metrics

MetricRisk MeasureBenchmarkBest Utilized When...Key Formula
Sharpe RatioTotal Risk ($\sigma$)Cash ($R_f$)Evaluating entire wealth, standalone portfolios, or undiversified assets$S_p = \frac{R_p - R_f}{\sigma_p}$
$M^2$ MeasureTotal Risk ($\sigma$)Market Volatility ($\sigma_m$)Presenting total risk-adjusted results in clear percentage terms to clients$M^2 = R_f + S_p \cdot \sigma_m$
Treynor RatioSystematic Risk ($\beta$)Cash ($R_f$) & Market ($M$)Evaluating a manager being added as a sub-allocation to a diversified master fund$T_p = \frac{R_p - R_f}{\beta_p}$
Jensen's AlphaSystematic Risk ($\beta$)CAPM Required ReturnMeasuring absolute excess alpha percentage and statistical significance$\alpha_p = R_p - [R_f + \beta_p(R_m - R_f)]$
Information RatioActive Risk ($\text{TE}$)Specific Assigned Benchmark ($R_b$)Evaluating active manager skill against a mandate-specific benchmark$\text{IR} = \frac{R_p - R_b}{\text{TE}}$

Institutional Metric Selection Decision Tree

                       Institutional Metric Selection Decision Tree
                                             │
                    What is the role of the portfolio being evaluated?
                                             │
         ┌───────────────────────────────────┼───────────────────────────────────┐
         ▼                                   ▼                                   ▼
[ Entire Client Wealth / ]          [ Sub-Allocation in a ]             [ Active Manager Hired ]
[ Standalone Portfolio   ]          [ Diversified Portfolio]             [ vs. Specific Mandate ]
         │                                   │                                   │
Does uncompensated unique           Idiosyncratic risk is               Evaluated against assigned
risk matter? YES.                   diversified away.                   style benchmark (Rb).
         │                                   │                                   │
   ┌─────┴─────┐                       ┌─────┴─────┐                             ▼
   ▼           ▼                       ▼           ▼                    [ INFORMATION RATIO ]
[ SHARPE ]   [ M² ]               [ TREYNOR ]  [ JENSEN'S α ]          IR = (Rp - Rb) / TE
Ratio:       Return in %          Slope in     Alpha in %
Sp =         M² = Rf +            Tp =         α = Rp - CAPM
(Rp-Rf)/σp   Sp · σm              (Rp-Rf)/βp   (Verify t-stat)

Worked Example: Multi-Manager Institutional Evaluation

An endowment consultant reviews three candidate large-cap equity managers. Current market data: $R_f = 2.0%$, $R_m = 10.0%$, $\sigma_m = 15.0%$.

ManagerRealized Return ($R_p$)Total Volatility ($\sigma_p$)Market Beta ($\beta_p$)Benchmark Return ($R_b$)Tracking Error ($\text{TE}$)Correlation ($\rho_{pm}$)
Manager A13.0%18.0%1.1010.0%4.0%0.92
Manager B11.5%14.0%0.8510.0%3.0%0.91
Manager C15.0%25.0%1.2010.0%7.5%0.72
  1. Sharpe Ratios:

    • $S_A = (13.0 - 2.0) / 18.0 = 11.0 / 18.0 = \mathbf{0.611}$
    • $S_B = (11.5 - 2.0) / 14.0 = 9.5 / 14.0 = \mathbf{0.679}$
    • $S_C = (15.0 - 2.0) / 25.0 = 13.0 / 25.0 = \mathbf{0.520}$
    • Standalone Ranking (Total Risk): Manager B > Manager A > Manager C
  2. Treynor Ratios:

    • $T_A = (13.0 - 2.0) / 1.10 = 11.0 / 1.10 = \mathbf{10.00%}$
    • $T_B = (11.5 - 2.0) / 0.85 = 9.5 / 0.85 = \mathbf{11.18%}$
    • $T_C = (15.0 - 2.0) / 1.20 = 13.0 / 1.20 = \mathbf{10.83%}$
    • Sub-Allocation Ranking (Systematic Risk): Manager B > Manager C > Manager A
    • Insight: Manager C ranks 2nd under Treynor because Treynor ignores its high idiosyncratic risk, but ranks lowest under Sharpe because its total volatility is 25% due to poor diversification ($\rho = 0.72$).
  3. Jensen's Alphas:

    • $\alpha_A = 13.0 - [2.0 + 1.10(10.0 - 2.0)] = 13.0 - 10.8 = \mathbf{+2.20%}$
    • $\alpha_B = 11.5 - [2.0 + 0.85(10.0 - 2.0)] = 11.5 - 8.8 = \mathbf{+2.70%}$
    • $\alpha_C = 15.0 - [2.0 + 1.20(10.0 - 2.0)] = 15.0 - 11.6 = \mathbf{+3.40%}$
  4. Information Ratios:

    • $\text{IR}_A = (13.0 - 10.0) / 4.0 = 3.0 / 4.0 = \mathbf{0.750}$ (Very Good)
    • $\text{IR}_B = (11.5 - 10.0) / 3.0 = 1.5 / 3.0 = \mathbf{0.500}$ (Good)
    • $\text{IR}_C = (15.0 - 10.0) / 7.5 = 5.0 / 7.5 = \mathbf{0.667}$ (Good)
    • Benchmark Mandate Ranking: Manager A > Manager C > Manager B
Test Your Knowledge

An institutional pension plan hires an active global equity manager who generates an annualized return of 13.5% against the assigned MSCI World benchmark return of 11.0%. Over the 5-year evaluation period, the annualized standard deviation of excess returns (tracking error) was 3.125%. In accordance with Grinold and Kahn's Fundamental Law of Active Management, how should the plan sponsor evaluate this manager's Information Ratio?

A
B
C
D