Hedge Funds — Macro and Managed Futures Funds

Hedge Funds — Macro and Managed Futures Funds

CAIA Level I Study Guide

What Is It?

1. Macro funds bet on global economic trends (rates, currencies, commodities) using discretionary or systematic models. Managed futures funds trade futures/options systematically, often via trend-following algorithms.
2. Tested via strategy mechanics, risk drivers, performance attribution, and due diligence (e.g., liquidity, leverage, drawdowns). Audited for model risk, execution slippage, and regulatory compliance (e.g., CFTC, NFA).

Why Does the Exam Ask This?

CAIA tests your ability to: - Classify macro vs. managed futures strategies and their risk/return profiles. - Assess leverage, liquidity, and correlation risks in portfolio construction. - Evaluate performance drivers (e.g., trend persistence, volatility regimes) and due diligence red flags. - Apply regulatory knowledge (e.g., UCITS, Dodd-Frank) to fund structures.

What Do I Need to Know First?

1. Futures markets basics (margin, contango/backwardation, roll yield).
2. Hedge fund strategies (directional vs. relative value).
3. Risk metrics (Sharpe ratio, Sortino ratio, maximum drawdown).
4. Derivatives pricing (Black-Scholes, cost-of-carry model).
5. Regulatory frameworks (CFTC, NFA, UCITS).

Topic Snapshot

Macro and managed futures funds are liquid alternatives in CAIA’s "Hedge Fund Strategies" module. They matter because: - Diversification: Low correlation to equities/bonds (e.g., crisis alpha). - Leverage: High notional exposure via futures/options. - Model risk: Systematic funds rely on backtested signals; discretionary funds depend on PM skill. - Regulatory scrutiny: Futures trading triggers CFTC/NFA oversight.

Exam / Job / Audit Weighting

• Frequency: 5–8% of Level I (1–2 questions per exam).
• Difficulty Rating: Intermediate (requires synthesis of strategy mechanics + risk).
• Question Type:
• Exam: MCQs (e.g., "Which factor drives managed futures returns?"), short-answer (e.g., "Explain roll yield in contango").
• Job: Due diligence (e.g., "Why did this fund underperform in 2022?"), portfolio construction (e.g., "How to allocate to macro funds?").
• Audit: Model validation (e.g., "Are trend-following signals robust?"), compliance checks (e.g., "Is leverage within UCITS limits?").

Difficulty Level

Intermediate

Must-Know Rules, Formulas, Standards, or Principles

1. Trend-Following Mechanics:
2. Signal generation: Moving-average crossovers (e.g., 50-day vs. 200-day) or breakout rules.
3. Position sizing: Volatility targeting (e.g., risk-parity approach).

4. Formula: Volatility-adjusted position size = (Portfolio risk budget) / (Instrument volatility × contract multiplier).

5. Roll Yield:

6. Contango: Negative roll yield (long futures lose money when rolling).
7. Backwardation: Positive roll yield (long futures gain when rolling).

8. Formula: Roll yield = (Near-term futures price – Far-term futures price) / Near-term futures price.

9. Regulatory Limits:

10. UCITS: Max 20% leverage for managed futures funds; no short-selling of physical commodities.
11. CFTC/NFA: Daily reporting of positions (Form 40/102); limits on speculative positions (e.g., CFTC’s "position limits").

Misconceptions

1. "Managed futures = always trend-following."
2. Reality: Some use mean-reversion, carry trades, or multi-strategy approaches.
3. "Macro funds only trade FX and rates."
4. Reality: They also trade commodities, equities (via indices), and volatility (VIX futures).
5. "High Sharpe ratio = safe investment."
6. Reality: Sharpe ignores tail risk (e.g., managed futures had negative skew in 2022).
7. "Discretionary macro is less risky than systematic."
8. Reality: Discretionary funds have higher key-person risk and behavioral biases.
9. "Managed futures always outperform in crises."
10. Reality: They struggle in choppy markets (e.g., 2018–2019) or regime shifts (e.g., 2020 COVID crash).

Common Mistakes

1. Ignoring roll yield in performance attribution (e.g., blaming "bad alpha" when it’s contango drag).
2. Overlooking leverage in risk calculations (e.g., notional exposure vs. margin).
3. Misclassifying strategies (e.g., calling a global macro fund "managed futures" because it trades futures).
4. Assuming low correlation = diversification (e.g., managed futures’ correlation to equities spiked in 2022).
5. Neglecting liquidity risk (e.g., assuming all futures contracts are equally liquid; e.g., VIX futures vs. S&P 500 futures).

The Common Trap

Confusing "liquidity" with "leverage." - Liquidity: Ability to enter/exit positions (e.g., E-mini S&P futures are liquid; VIX futures are not). - Leverage: Notional exposure relative to capital (e.g., $1M margin controlling $10M in futures). - Trap: Assuming a fund is "safe" because it trades liquid futures, while ignoring 10x leverage.

Terms to Remember

1. Crisis alpha: Outperformance during market stress (e.g., managed futures in 2008).
2. Volatility targeting: Adjusting position sizes based on realized volatility (e.g., reducing exposure in high-vol regimes).
3. Carry trade: Profiting from the difference in interest rates (e.g., borrowing in JPY to invest in USD bonds).
4. Slippage: Difference between expected and actual execution price (worse in illiquid markets).
5. Drawdown: Peak-to-trough decline in NAV (e.g., -20% drawdown in 2022 for many macro funds).

Step-by-Step Process

1. Classify the Strategy

• Macro (discretionary): Top-down, PM-driven (e.g., Soros’ 1992 GBP trade).
• Managed futures (systematic): Rules-based, often trend-following (e.g., AQR Managed Futures Strategy).

2. Analyze Risk Drivers

• Macro: Geopolitical events, central bank policy, currency crises.
• Managed futures: Trend persistence, volatility regimes, roll yield.

3. Evaluate Performance

• Benchmark: SG Trend Index (managed futures), HFRI Macro Index (macro).
• Metrics:
• Sharpe ratio (risk-adjusted returns).
• Maximum drawdown (tail risk).
• Correlation to equities (diversification benefit).

4. Assess Due Diligence

• Model risk: Backtest overfitting? (e.g., "curve-fitting" in managed futures).
• Execution risk: Slippage in illiquid contracts (e.g., VIX futures).
• Leverage: Notional exposure vs. margin (e.g., 5x leverage = $5M notional per $1M capital).
• Regulatory: UCITS limits? CFTC position limits?

5. Portfolio Construction

• Allocation: 5–15% of a portfolio (higher for crisis alpha).
• Diversification: Combine with equity long/short or credit strategies.
• Rebalancing: Quarterly (macro) or monthly (managed futures).

Exam Answer Builder

1-Mark Question (MCQ)

What it tests: Strategy classification. Example: "A hedge fund takes long positions in gold futures and short positions in 10-year Treasury futures based on a PM’s view of inflation. This is an example of:" A) Managed futures B) Global macro C) Relative value D) Event-driven Correct Answer: B) Global macro Key Tip: Discretionary + top-down views = macro. Systematic + rules-based = managed futures.

2-Mark Question (Short Answer)

What it tests: Roll yield mechanics. Example: "Explain why a managed futures fund long crude oil futures in contango might underperform even if the spot price rises." Key Tip: 1. Define contango (far-term futures > near-term). 2. Explain negative roll yield (losing money when rolling contracts). 3. Link to performance drag (roll cost offsets spot gains).

5-Mark Question (Long Answer)

What it tests: Risk assessment + due diligence. Example: "A managed futures fund reports a 12% annualized return with a Sharpe ratio of 2.0. The fund uses 5x leverage and trades VIX futures. Identify three risks an investor should investigate and explain why." Key Tip: 1. Leverage risk: 5x leverage amplifies losses (e.g., 10% market move → 50% NAV impact). 2. Liquidity risk: VIX futures are illiquid (slippage, wide bid-ask spreads). 3. Tail risk: VIX spikes can cause extreme drawdowns (e.g., 2020 COVID crash). 4. Model risk: Trend-following struggles in mean-reverting markets (e.g., 2018–2019).

Case Study Question

What it tests: Real-world application. Example: "In 2022, a managed futures fund underperformed despite strong trends in commodities and rates. The fund’s PM cites ‘poor execution’ and ‘roll yield drag.’ How would you verify these claims?" Key Tip: 1. Execution: Check slippage vs. benchmark (e.g., VWAP). 2. Roll yield: Compare futures curve (contango vs. backwardation) to performance. 3. Model signals: Did the fund miss trends? (e.g., late entry/exit). 4. Leverage: Did high leverage force early liquidation?

This vs That

Time-Saver Hack

Eliminate wrong answers in MCQs using "strategy DNA": - If the question describes PM discretion → macro. - If it mentions trend-following, moving averages, or volatility targeting → managed futures. - If it involves mergers, distressed debt, or activism → not macro/managed futures.

Mini Scenarios

1. Basic

Scenario: A managed futures fund is long EUR/USD futures. The 50-day MA crosses above the 200-day MA. What to notice: This is a buy signal in a trend-following model. The fund will likely increase its long position.

2. Applied

Scenario: A macro fund is short 10-year Treasuries and long gold. The Fed hikes rates unexpectedly. What to notice: - Short Treasuries: Profits (yields rise, prices fall). - Long gold: Loses (gold often sells off in rate hikes). - Net effect: Depends on position sizing and leverage.

3. Tricky

Scenario: A managed futures fund reports a 20% return in 2022. The SG Trend Index was up 30%. The PM claims "alpha." What to notice: - Benchmark mismatch: SG Trend is a peer group, not the fund’s benchmark. - Leverage: Did the fund use 2x leverage to achieve 20%? (30% × 0.67 = 20%). - Alpha illusion: Likely beta to the trend index, not true alpha.

Diagnostic MCQ Bank

Easy

Question: Which of the following is a discretionary strategy? A) A fund using moving-average crossovers to trade S&P 500 futures B) A fund where the PM bets on a Fed rate hike based on economic data C) A fund that shorts VIX futures when implied volatility spikes D) A fund that allocates to bonds based on a volatility-targeting model Correct Answer: B Explanation: Discretionary = PM judgment. Others are systematic. Trap Option: A (tempting because it trades futures, but it’s rules-based).

Medium

Question: A managed futures fund is long crude oil futures in contango. The spot price rises 5%, but the fund’s NAV is flat. What is the most likely explanation? A) The fund’s trend-following model exited the position early B) The fund suffered negative roll yield C) The fund’s leverage amplified losses D) The fund’s execution slippage offset gains Correct Answer: B Explanation: Contango → negative roll yield (losing money when rolling contracts). Trap Option: D (slippage is possible but less likely than roll yield in this context).

Hard

Question: A UCITS-compliant managed futures fund reports 15% annualized returns with 10% volatility. The fund uses 3x leverage. What is the most significant risk for an investor? A) The fund may breach UCITS leverage limits B) The fund’s Sharpe ratio is overstated due to leverage C) The fund’s drawdowns could exceed 30% in a crisis D) The fund’s correlation to equities may spike unexpectedly Correct Answer: C Explanation: 3x leverage → 30% market move = 90% NAV impact. UCITS allows 20% leverage for managed futures, so 3x is not compliant (A is incorrect). Sharpe ratio is not overstated (B is wrong). Correlation spikes (D) are a risk but less immediate than drawdowns. Trap Option: A (UCITS allows 20% leverage for managed futures, but 3x = 200% notional exposure, which is not compliant—this is a trick because the question states the fund is UCITS-compliant).

Real-World Patterns

1. Due Diligence:
2. Red flag: A managed futures fund with no drawdowns in backtests (likely overfitted).

3. Green flag: Transparent roll yield reporting (e.g., "Contango cost: -2% in Q1").

4. Portfolio Construction:

5. Crisis alpha: Macro/managed futures funds often outperform in recessions (e.g., 2008, 2020) but underperform in choppy markets (e.g., 2018–2019).

6. Regulatory Audits:

7. CFTC focus: Position limits (e.g., "Did the fund exceed speculative limits in WTI futures?").
8. UCITS focus: Leverage (e.g., "Is the fund’s 5x leverage within 20% UCITS limits?").

30-Second Cheat Sheet

1. Macro = discretionary, top-down; managed futures = systematic, trend-following.
2. Roll yield: Contango = bad for longs; backwardation = good for longs.
3. Leverage: Notional exposure = margin × leverage (e.g., $1M × 5x = $5M).
4. Crisis alpha: Managed futures often outperform in market crashes (e.g., 2008).
5. Regulatory: UCITS = 20% max leverage; CFTC = position limits.

Related Concepts

1. CTA Strategies (Commodity Trading Advisors) – Subset of managed futures.
2. Hedge Fund Risk Management – Drawdowns, VaR, stress testing.
3. Alternative Beta – Factor-based explanations for managed futures returns.

Verified Source List

1. CAIA Association – CAIA Level I Curriculum (Chapter 1