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Investment Performance Analysis

Measuring the Immeasurable

A comprehensive guide to evaluating hedge fund strategies. From Alpha generation to handling complex cash flows, understand the metrics that matter.

Hedge Fund Performance Metrics Infographic
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Core Calculation Methodologies

The foundation is choosing the correct return calculation method based on fund structure and liquidity.

Time-Weighted Return (TWR)

TWR = [(1 + R₁) × (1 + R₂) × ... × (1 + Rₙ)] - 1

The standard for measuring manager skill in liquid markets (e.g., public equities). Neutralizes the distorting effects of external client cash flows.

Isolates manager performance
Standard for liquid strategies
Requires daily valuations

Money-Weighted Return (IRR)

NPV = Σ[CFₜ / (1 + IRR)ᵗ] = 0

Required metric for illiquid, closed-end funds (e.g., private equity). Manager controls capital timing, making timing part of performance assessment.

Reflects investor experience
Standard for private equity
Includes timing skill

Modified Dietz

R = (EMV - BMV - CF) / (BMV + WCF)

An approximation for TWR used when daily valuation isn't feasible. Weights cash flows by time remaining in period.

Practical approximation
Monthly valuations sufficient
Industry standard fallback

Calculation Method Selection Framework

Liquid Strategies

Long/Short Equity, Market Neutral, Arbitrage

→ Use TWR

Illiquid Strategies

Private Equity, Distressed Debt, Real Estate

→ Use IRR

Mixed Liquidity

Multi-Strategy, Credit Opportunities

→ Use Modified Dietz

Risk-Adjusted Performance Metrics

Returns must be evaluated relative to the risk taken. Raw returns without risk context are meaningless.

Sharpe Ratio

(Rp - Rf) / σp

The universal standard measuring excess return per unit of total volatility. Limited by assumptions of normal return distributions. Values above 1.0 are considered good, above 2.0 excellent.

Sortino Ratio

(Rp - Rf) / σd

Improves on Sharpe by focusing only on downside volatility. More appropriate for hedge funds as upside volatility is desirable. Better reflects investor risk perception.

Information Ratio

(Rp - Rb) / Tracking Error

The key metric for active managers. Measures excess return relative to benchmark per unit of active risk. Values above 0.5 indicate skill, above 1.0 exceptional skill.

Calmar Ratio

Annual Return / Max Drawdown

Critical for evaluating leveraged strategies. Measures return per unit of worst-case loss. Particularly important for CTA and macro strategies with high volatility.

Sterling Ratio

Annual Return / Avg Drawdown

Similar to Calmar but uses average of largest drawdowns over time. Provides more stable measure for strategies with multiple significant drawdowns.

Omega Ratio

∫[1-F(x)]dx / ∫F(x)dx

Considers entire return distribution, not just first two moments. Captures skewness and kurtosis effects crucial for option-heavy strategies and tail risk assessment.

Drawdown Analysis Framework

Key Drawdown Metrics

Maximum DrawdownPeak-to-Trough

Worst single loss period. Critical for risk budgeting and leverage decisions.

Average DrawdownMean of All DD

Typical loss magnitude. Better for strategies with frequent small drawdowns.

Recovery TimeTime to New High

How long to recover from drawdowns. Critical for investor psychology.

Drawdown Severity Classification

0% - 5%Low Risk
5% - 10%Moderate
10% - 20%High Risk
20%+Extreme

Note: Acceptable drawdown levels vary by strategy. Market neutral funds should stay under 5%, while global macro funds may accept 15-20%.

Cash Flow Impact Analysis

Timing matters. How we handle deposits and withdrawals drastically changes the performance picture.

Manager Focused

Time-Weighted Return (TWR)

Calculates the compound rate of growth over a period. It eliminates the distorting effects of cash inflows and outflows by breaking the measurement period into sub-periods.

Isolates manager's skill from client timing
Standard for comparing fund managers
Links sub-period returns geometrically
Indifferent to the size of AUM at any point
Investor Focused

Money-Weighted Return (MWR)

Essentially the Internal Rate of Return (IRR). It accounts for the size and timing of cash flows, reflecting the actual wealth generation experience of the investor.

Reflects actual wealth generation
Heavily impacted by timing of deposits
Good for evaluating personal portfolio growth
Penalizes managers if they call capital before a dip

The "Cash Drag" Dilemma

In hedge funds, managing cash flow is critical. A large inflow of cash (subscription) creates "cash drag"—diluting performance until deployed. Managers often use Subscription Lines or Equalization methods to ensure new investors don't dilute existing returns or inherit unrealized gains unfairly.

Solution 1Equalization Credits

New investors pay for unrealized gains

Solution 2Series Accounting

Separate share classes by entry date

Fund Return (TWR)+12.5%
Investor A (Early Entry)+12.5%
Investor B (Late Entry, MWR)+4.2%
*Without proper methodology, timing dictates outcome

Public Market Equivalents (PME) for Private Funds

Kaplan-Schoar PME

PME = Σ(Distributions × FV Factor) / Σ(Contributions × FV Factor)

Creates apples-to-apples comparison with public markets by investing contributions in a public index and comparing terminal values.

PME > 1.0 = Outperformed public markets
Accounts for irregular cash flows

Direct Alpha Method

α = IRR_fund - IRR_public_equivalent

Directly calculates the alpha by comparing IRRs of the private fund versus a public market equivalent with identical cash flow timing.

More intuitive alpha interpretation
Easier to communicate to investors

Attribution Analysis

Decomposing returns to identify the true source of value creation and distinguish skill from luck.

Brinson Model

Used for long-only equity portfolios. Breaks excess return into three components to identify where value is being added or destroyed.

Allocation Effect

Σ(wp - wb) × (rb - rB)

Value from over/underweighting sectors relative to benchmark

Selection Effect

Σwb × (rp - rb)

Value from picking better stocks within each sector

Interaction Effect

Σ(wp - wb) × (rp - rb)

Combined effect of allocation and selection decisions

Factor Attribution Models

Essential for hedge funds. Uses regression to determine how much return comes from systematic risk factors versus true manager skill ("alpha").

Fama-French Model

R = α + β₁(MKT) + β₂(SMB) + β₃(HML) + ε

Market, Size, and Value factors for equity strategies

Fung-Hsieh Model

R = α + Σβᵢ(Factorᵢ) + ε

Includes trend-following and option-like factors for hedge funds

Alpha Interpretation

α > 0: Manager adds value beyond systematic factors
α ≈ 0: Returns explained by factor exposures
α < 0: Manager destroys value after fees

Factor Model Selection by Strategy

Equity Long/Short

  • • Market Beta (S&P 500)
  • • Size Factor (SMB)
  • • Value Factor (HML)
  • • Momentum Factor
  • • Quality Factor

Global Macro

  • • Currency Carry
  • • Bond Trend Following
  • • Commodity Momentum
  • • Volatility Risk Premium
  • • Term Structure

Credit Strategies

  • • Credit Spread Changes
  • • Default Risk Premium
  • • Term Structure
  • • Equity Market Beta
  • • Liquidity Factor

Advanced Risk Management

Forward-looking risk assessment complements historical performance analysis for comprehensive evaluation.

Value at Risk (VaR)

VaR₉₅% = μ - 1.645σ (Normal Distribution)

Estimates potential loss over a set period at a given confidence level. Standard risk measure but limited by distributional assumptions.

1-Day 95% VaRDaily Risk
1-Month 99% VaRStress Test
Annual 95% VaRCapital Planning

Conditional VaR (CVaR)

CVaR = E[Loss | Loss > VaR]

Superior measure that calculates average loss in worst-case tail beyond VaR threshold. Captures extreme "tail risk" better than VaR.

Why CVaR is Superior

Coherent risk measure (subadditive)
Captures tail risk beyond VaR
Better for portfolio optimization
Regulatory preference (Basel III)

Risk Measurement Methodologies

Parametric Method

Assumes normal distribution. Fast computation but poor for fat-tailed returns common in hedge funds.

Pros: Fast, simple, analytical
Cons: Normality assumption

Historical Simulation

Uses actual historical returns. No distributional assumptions but limited by historical data availability.

Pros: No assumptions, actual data
Cons: Limited by history

Monte Carlo

Simulates thousands of scenarios. Most flexible but computationally intensive and model-dependent.

Pros: Flexible, comprehensive
Cons: Model risk, complex

Stress Testing Framework

Historical Stress Tests

2008 Financial Crisis
Credit spreads, equity crash, liquidity crisis
COVID-19 March 2020
Rapid deleveraging, correlation breakdown
LTCM 1998
Convergence trade failure, leverage unwind

Hypothetical Scenarios

Interest Rate Shock
+200bp parallel shift, curve steepening
Currency Crisis
Major currency devaluation, carry unwind
Volatility Spike
VIX to 50+, correlation increase

Benchmark Selection

Selecting an appropriate, investable benchmark is crucial for fair comparison. Benchmarks must meet strict criteria.

Strategy Alignment

Long/Short EquityCorrelation: High

Often benchmarked against broad equity indices like the S&P 500 or MSCI World, sometimes with a beta-adjustment (e.g., 50% S&P 500).

S&P 500Russell 2000
Global MacroCorrelation: Low

Hard to benchmark due to flexibility. Often uses an "Absolute Return" hurdle (e.g., Cash + 5%) or a composite of global bonds/equities.

Risk-Free Rate + Spread60/40 Global
Distressed DebtCorrelation: Med

Benchmarked against High Yield indices or specific Distressed Debt peer group indices.

ICE BofA High YieldHFRX Distressed

The "SAMURAI" Check

A good benchmark must adhere to strict properties to be valid for performance comparison.

Specified in Advance

The benchmark cannot be cherry-picked after seeing the results.

Appropriate

It must reflect the manager's investment style and geographic focus.

Measurable

Its value can be determined on a frequent basis.

Unambiguous

The identities and weights of securities are clearly defined.

Reflective

It should reflect current investment opportunities available to the manager.

Accountable

The manager should accept the benchmark as a fair measure of their performance.

Investable

It represents an alternative the investor could actually purchase (e.g., an ETF).

Reporting & Communication

Effective synthesis and presentation are the final steps in performance evaluation. GIPS compliance ensures fair representation.

GIPS Standards

Global Investment Performance Standards ensure fair representation and comparability across managers and time periods.

Composite Construction

All fee-paying, discretionary portfolios managed according to the same strategy must be included.

Performance Calculation

Must use time-weighted returns for periods of one year or longer, with monthly valuations minimum.

Disclosure Requirements

Must disclose fee structure, benchmark, number of portfolios, and any material changes to strategy.

Essential Reporting Tools

Professional reports combine metrics, attribution, and risk analysis using intuitive visualizations.

Growth Charts

Show cumulative performance vs benchmark over time. Essential for visualizing long-term value creation.

Underwater Charts

Display drawdown periods and recovery times. Critical for understanding risk profile and investor experience.

Rolling Window Analysis

Shows performance consistency across different time periods. Reveals strategy robustness and regime dependence.

Professional Reporting Framework

Performance Summary

  • • Total Return (Net/Gross)
  • • Benchmark Comparison
  • • Risk-Adjusted Metrics
  • • Volatility Analysis

Attribution Analysis

  • • Factor Exposures
  • • Alpha Decomposition
  • • Sector/Security Attribution
  • • Style Analysis

Risk Assessment

  • • VaR/CVaR Analysis
  • • Stress Test Results
  • • Correlation Analysis
  • • Tail Risk Metrics

Market Context

  • • Market Environment
  • • Peer Comparison
  • • Strategy Commentary
  • • Outlook Discussion

Key Performance Reporting Principles

Transparency Requirements

Fee Disclosure
Show both gross and net returns with clear fee breakdown
Methodology Explanation
Document calculation methods and any changes over time
Risk Warnings
Clearly state limitations and potential risks of the strategy

Communication Best Practices

Context Matters
Always provide market environment and strategy context
Visual Clarity
Use charts and graphs to make complex data accessible
Forward-Looking
Include outlook and strategy evolution discussion

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