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CAIA Level II Study Guide
CAIA tests this to assess your ability to: - Detect operational red flags (e.g., fraud, style drift, concentration risk) before they manifest as tail events. - Translate qualitative due diligence (e.g., manager interviews, process documentation) into quantitative risk adjustments (e.g., haircuts to expected returns). - Balance Type I vs. Type II errors in manager selection: rejecting good managers (costly) vs. accepting bad ones (catastrophic). - Apply regulatory expectations (e.g., SEC’s "Compliance Rule" 206(4)-7, AIFMD) to due diligence documentation and oversight.
This topic sits at the intersection of risk management and manager selection in CAIA Level II. It’s critical because: - 70% of hedge fund failures stem from operational (not investment) risks—often tail events (e.g., Madoff’s fraud, Archegos’ leverage). - Due diligence is the first line of defense against blow-ups, but most allocators focus on past returns (a lagging indicator) over process (a leading indicator). - Regulators now demand documented due diligence (e.g., SEC’s "Compliance Rule" requires annual reviews of service providers).
Advanced
Third line: Independent audit/regulator (e.g., SEC exams, AIFMD reporting).
Tail Risk Haircut Formula (for adjusting expected returns): Adjusted Return = Expected Return × (1 – Tail Risk Haircut)
Adjusted Return = Expected Return × (1 – Tail Risk Haircut)
Example: If a fund has a 5% chance of a 50% drawdown, the haircut is 2.5% (0.05 × 50%).
AIFMD’s "Risk Management Requirements" (Article 15):
The "Checklist Fallacy": - Believing that due diligence is just ticking boxes (e.g., "Does the manager have a risk committee? Yes → Pass"). - Reality: Due diligence is judgment-based. A manager may have all the right structures but still fail due to culture (e.g., overconfidence, siloed teams) or incentives (e.g., fee structures encouraging excessive risk-taking).
What it tests: Recognition of tail-risk definitions. Example Question: Which of the following is the BEST example of a tail risk for a global macro hedge fund? A) A 1% daily loss due to minor FX fluctuations. B) A 30% loss from a sudden 500bps rise in US Treasury yields. C) A 5% drawdown from a bad stock pick. D) A 10% annual underperformance vs. the S&P 500.
Correct Answer: B Key Tip: Tail risks are extreme, low-probability events with severe impact. Eliminate options that describe normal volatility (A, C, D).
What it tests: Application of tail-risk haircuts. Example Question: A hedge fund has an expected return of 12% and a 3% probability of a 60% drawdown. Calculate the tail-risk-adjusted return.
Correct Answer: Tail Risk Haircut = 0.03 × 60% = 1.8% Adjusted Return = 12% × (1 – 0.018) = 11.78%
Key Tip: - Show the formula: Haircut = Probability × Loss Given Event. - Apply the haircut to the expected return: Adjusted Return = Expected Return × (1 – Haircut).
Haircut = Probability × Loss Given Event
Adjusted Return = Expected Return × (1 – Haircut)
What it tests: Due diligence judgment in a real-world scenario. Example Question: You are conducting due diligence on a market-neutral hedge fund that claims to have zero beta to equities. During your review, you notice: - The fund’s largest position is a 15% allocation to a single illiquid convertible bond. - The CIO has a history of working at a firm that was fined for mispricing assets. - The fund’s VaR model assumes normal distributions for returns.
Identify three red flags and explain how each could lead to tail risk. Propose one action for each.
Model Answer: 1. Concentration in illiquid asset (15% in one bond): - Risk: Liquidity mismatch → forced selling in a crisis → fire-sale losses. - Action: Require the manager to reduce position size to <5% or provide a liquidity plan.
Action: Verify independent valuation process (e.g., third-party administrator).
VaR assumes normal distributions:
Key Tip: - Link each red flag to a specific tail risk (e.g., liquidity, fraud, model risk). - Propose concrete actions (not just "monitor" or "be careful").
What it tests: Regulatory application of due diligence. Example Question: Under AIFMD, a European fund-of-funds is required to assess the risk management of its underlying managers. During due diligence, you discover that a hedge fund: - Does not separate its risk management team from portfolio management. - Has not conducted a stress test in 18 months.
What are the two AIFMD violations here? What should the fund-of-funds do next?
Correct Answer: 1. Violations: - Article 15(2): Risk management must be functionally separate from portfolio management. - Article 15(3): Stress tests must be conducted at least annually. 2. Action: - Immediate: Require the manager to remediate (e.g., hire a dedicated risk team, conduct a stress test within 30 days). - Long-term: Reduce allocation or terminate the relationship if non-compliant.
Key Tip: - Cite the exact AIFMD article (e.g., Article 15). - Distinguish between "must" (non-negotiable) and "should" (best practice).
The "5-Minute Red Flag Check": When short on time, ask these three questions to spot tail risks quickly: 1. "What’s the worst-case scenario?" (If the manager can’t answer, they haven’t stress-tested.) 2. "Who prices the illiquid assets?" (If it’s the PM, not a third party → valuation risk.) 3. "What’s your leverage limit?" (If it’s >3x for a liquid strategy → leverage risk.)
You’re reviewing a long/short equity hedge fund. The manager claims to have "no tail risk" because they use stop-losses on all positions. What’s happening? - Stop-losses do not eliminate tail risk—they can amplify it during liquidity crunches (e.g., 2020 COVID crash, where stop-losses triggered cascading sell-offs). What to notice first? - Liquidity mismatch: Stop-losses work in normal markets but fail in crises when bid-ask spreads explode.
A global macro fund has a 10-year track record of 15% annual returns with no drawdowns >5%. Your ODD reveals: - The fund uses 5x leverage on FX trades. - The CIO is the sole decision-maker, with no risk team. - The fund’s VaR model assumes normal distributions. What’s happening? - Hidden tail risk: The "no drawdowns" record is likely due to luck or mispricing (e.g
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