Asset Allocation to Alternative Investments

LOS: Explain the roles that alternative investments play in multi-asset portfolios

Primary Roles

  1. Capital Growth
    • High return potential
    • Examples: Private Equity, Venture Capital
  2. Income Generation
    • Steady cash flows
    • Examples: Private Credit, Real Estate
  3. Risk Diversification
    • Low correlation to traditional equities/bonds
    • Examples: Real Assets, Hedge Funds
  4. Safety
    • Safe haven during market stress
    • Examples: Gold (though not consistently)

Risk/Return Spectrum * Return Enhancing: Private Equity, Private Real Assets. * Risk Reducing (Diversifying): Hedge Funds (e.g., Equity Market Neutral), Real Assets (inflation hedge). * Hybrid: Private Credit (yield + diversification).

Example: Diversification Potential * Goal: Reduce equity risk. * Asset: Hedge Funds (Equity Market Neutral or Global Macro) often have lower correlation with stocks than private equity does. * Asset: Real Assets (Timber, Commodities) protect against inflation, which can hurt bonds and stocks.


LOS: Compare alternative investments and bonds as risk mitigators in relation to a long equity position

Bonds as Mitigators * Pros: High liquidity, historically negative correlation with equities during flight-to-quality (deflationary shocks). * Cons: Low expected returns in low-yield environments; correlation with equities may turn positive during inflation shocks.

Alternatives as Mitigators * Hedge Funds (e.g., Long/Short, Market Neutral): * Pros: Can generate positive returns when rates rise; lower beta (approx. 0.4) than long-only equity. * Cons: Manager dispersion risk; higher fees; idiosyncratic risks. * Managed Futures/Trend Following: * Pros: historically strong performance during equity market crashes (crisis alpha). * Real Assets: * Pros: Inflation protection (where bonds fail).

Conclusion: Alternatives can replace or supplement bonds when yields are low or inflation risk is high, but they introduce liquidity risk and manager selection risk.


LOS: Compare traditional and risk-based approaches to defining the investment opportunity set

1. Traditional Approaches (Asset Class based)

  • Classification: Groups assets by physical characteristics or legal structure (e.g., Public Equity, Private Equity, Fixed Income, Real Estate).
  • Sub-approach: Liquidity-Based:
    • Liquid: Stocks, Bonds, Cash, REITs, Commodities.
    • Illiquid: Private Equity, Private Credit, Private Real Estate.
    • Strategy: Allocate to liquid assets first, then layer in illiquid assets for premium.
  • Sub-approach: Economic Environments:
    • Growth: Equities (Public/Private).
    • Inflation: Real Assets.
    • Deflation: Nominal Bonds.
  • Pros: Easy to communicate; aligns with implementation (manager mandates).
  • Cons: Overestimates diversification (e.g., Private Equity and Public Equity share high correlation/fundamental drivers).

2. Risk-Based Approaches (Factor based)

  • Classification: Groups assets by common underlying risk drivers (Factors).
  • Common Factors:
    • Equity Risk: Growth.
    • Rate Risk (Duration): Nominal bond sensitivity.
    • Credit Spread: Default risk.
    • Inflation: CPI sensitivity.
    • Illiquidity Premium.
  • Application: Private Equity is decomposed into Equity Beta + Liquidity Premium + Alpha.
  • Pros: Identifies true drivers of risk; integrated risk management across public/private.
  • Cons: Sensitive to historical data period; difficult to implement (must map factors to actual investable vehicles).

Exhibit Comparison: * Traditional: 60% Equity / 40% Bond. * Risk-Based: Might reveal the 60/40 portfolio is 90% driven by Equity Risk.


LOS: Discuss investment considerations that are important in allocating to different types of alternative investments

1. Risk Considerations * Skewness/Fat Tails: Alts often exhibit negative skew (small gains, rare large losses) and high kurtosis. Standard deviation (normal distribution) underestimates risk. * Illiquidity: Returns are “chunky” and not fully invested immediately (capital calls). * Valuation: Smoothed returns (lack of daily mark-to-market) artificially lower volatility and correlation estimates.

2. Return Expectations * Building Blocks Approach: Risk-free rate + Factor Premiums (Credit, Equity, Illiquidity) + Alpha - Fees. * Manager Selection: Massive dispersion in returns between top and bottom quartile managers (unlike index funds).

3. Investment Vehicle * Limited Partnership (LP): Standard for private alts. Limited liability for investor; GP manages. Illiquid. * Fund of Funds (FoF): Diversification; access to top managers; lower minimums. Disadvantage: Double layer of fees. * Separately Managed Accounts (SMA): Customizable; transparency; high minimums. * Liquid Alts (UCITS/Mutual Funds): Daily liquidity; lower returns/alpha potential due to constraints.

4. Fees and Expenses * Management Fee: 1.5%–2.0% of committed (or invested) capital. * Performance Fee (Carried Interest): 15%–20% of profits above a hurdle rate. * High Water Mark: Must recover losses before earning performance fees.

5. Tax Considerations * Offshore feeders often used for tax-exempt investors to avoid UBIT (Unrelated Business Income Tax) in the US.


LOS: Discuss suitability considerations in allocating to alternative investments

1. Investment Horizon * Must be long (10–15 years) to tolerate lock-ups of Private Equity/Credit. * J-Curve Effect: Negative returns in early years (fees + no realization) followed by gains later.

2. Expertise * Requires specialized staff for due diligence, legal review, and monitoring.

3. Governance * Need quick decision-making capability (e.g., for co-investments) which large committees may lack.

4. Transparency * “Blind Pool” risk: Investors commit capital without knowing specific assets the GP will buy. * Limited reporting compared to public stocks.


LOS: Discuss approaches to asset allocation to alternative investments

1. Monte Carlo Simulation

  • Purpose: Addresses the non-normal distribution (fat tails/skew) of alternatives.
  • Process: Simulates thousands of paths using specific return distributions (e.g., regime-switching models: “Quiet” vs. “Volatile” markets).
  • Output: Generates probability of meeting goals (e.g., “Probability of maintaining purchasing power > 80%”) rather than just a single expected return.

2. Mean-Variance Optimization (MVO)

  • Limitations:
    • Assumes normal distribution (bad for alts).
    • Assumes perfect liquidity (bad for private assets).
    • Usually over-allocates to illiquid assets due to artificially smoothed low volatility.
  • Adjustments:
    • Unsmooth returns: Adjust historical data to reflect true volatility.
    • Constraints: Artificially cap allocations (e.g., Max 20% PE) to prevent concentration.

3. Mean-CVaR Optimization

  • Concept: Optimizes for Conditional Value at Risk (CVaR) or Expected Shortfall (average loss in the tail) rather than Volatility.
  • Application: Better for portfolios with significant downside tail risk (e.g., short volatility hedge funds, real estate crashes).
  • Result: Often allocates less to assets with large left-tail risks compared to MVO.

4. Risk Factor-Based Optimization

  • Allocates risk budget to factors (Growth, Inflation, Liquidity) rather than asset classes.
  • Example: Achieving “Growth” exposure via Public Equity (liquid) + Private Equity (illiquid).

LOS: Discuss the importance of liquidity planning in allocating to alternative investments

The Challenge Private investments use a Capital Call (Drawdown) structure. * Commitment: Total amount promised. * Paid-in Capital: Amount actually transferred to GP. * Distributions: Cash returned to investor after exits.

Liquidity Management Issues 1. Commitment Pacing: Deciding how much to commit each year to reach and maintain a target allocation (e.g., 10% of portfolio). * Vintage Year Diversification: Spread commitments to avoid buying only at market peaks. 2. Cash Drag: Committed capital sits in cash/low-yield assets waiting to be called. 3. Over-commitment Strategy: Committing >100% of target allocation, assuming distributions will offset new calls. * Risk: Denominator Effect. If public markets crash, the private allocation % spikes (denominator shrinks). Simultaneously, distributions dry up, but capital calls continue. Investor faces liquidity crunch.

Forecasting Model (Takahashi-Alexander) * Models contributions, distributions, and NAV growth to predict cash flows. * Key Inputs: Commitment amount, Life of fund, Bow factor (speed of drawdowns/distributions), Growth rate.


LOS: Discuss considerations in monitoring alternative investment programs

1. Performance Evaluation * IRR (Internal Rate of Return): Sensitive to timing of cash flows. Can be manipulated by use of subscription credit lines (delaying capital calls increases IRR). * MOIC (Multiple on Invested Capital): Total Value / Paid-In Capital. Measures wealth creation but ignores time value of money. * PME (Public Market Equivalent): Compares private fund cash flows to investing the same flows in a public index. Best for assessing alpha. * Benchmarks: Often custom or peer-group based (e.g., median of 2015 Vintage Buyout funds).

2. Monitoring the Firm/Process * Key Person Risk: Tracking turnover of senior partners. * Style Drift: Ensuring manager sticks to stated strategy (e.g., a distressed debt fund buying equities). * Operations: Monitoring valuation policies, service providers, and compliance.

3. Interim Monitoring * Since NAV is infrequent (quarterly), monitoring focuses on qualitative milestones (deal flow, exit activity) rather than daily price moves.