What does a comprehensive manager selection due diligence process look like, and how should quantitative and qualitative assessments be weighted?
I'm preparing for CFA Level III and the manager selection topic keeps emphasizing 'due diligence' without giving a clear framework for what that actually involves in practice. How do institutional allocators evaluate managers? Is it mostly about track records, or do qualitative factors like organizational stability matter more? What's the typical process from initial screening to final allocation?
Manager selection due diligence is a structured, multi-phase evaluation process used by institutional allocators to identify, assess, and monitor investment managers. The process integrates quantitative performance analysis with qualitative organizational assessment, recognizing that past returns are insufficient predictors without understanding the people, process, and philosophy generating them.\n\nDue Diligence Framework:\n\n`mermaid\ngraph TD\n A[\"Phase 1: Universe Screening\"] --> B[\"Database search + peer referrals
Filter by strategy, size, track record\"]\n B --> C[\"Phase 2: Quantitative Analysis\"]\n C --> D[\"Returns, risk, attribution,
style consistency, capacity\"]\n D --> E[\"Phase 3: Qualitative Assessment\"]\n E --> F[\"People, process, philosophy,
organization, alignment\"]\n F --> G[\"Phase 4: Operational DD\"]\n G --> H[\"Compliance, valuation,
counterparty, technology\"]\n H --> I[\"Phase 5: Reference Checks\"]\n I --> J[\"Former employees, investors,
service providers, counterparties\"]\n J --> K[\"Phase 6: Investment Committee\"]\n K --> L[\"Formal recommendation
with monitoring plan\"]\n`\n\nQuantitative Assessment -- Worked Example:\n\nWestbridge Endowment evaluates Falconer Capital, a US mid-cap equity manager:\n\n| Metric | Falconer | Benchmark | Peer Median | Assessment |\n|---|---|---|---|---|\n| 5Y annualized return | 11.8% | 9.2% | 10.1% | Above median |\n| Information ratio | 0.62 | -- | 0.35 | Top quartile |\n| Tracking error | 4.2% | -- | 4.8% | Controlled |\n| Maximum drawdown | -18.3% | -22.1% | -20.5% | Better than peers |\n| Up capture ratio | 108% | 100% | 103% | Strong |\n| Down capture ratio | 87% | 100% | 95% | Excellent |\n| Style drift (R-squared to benchmark) | 0.91 | -- | 0.85 | Consistent |\n| AUM / capacity estimate | $2.8B / $5B | -- | -- | Room for growth |\n\nQualitative Assessment -- The 5 Ps:\n\n| Dimension | Key Questions | Falconer Assessment |\n|---|---|---|\n| People | Key person risk? Team stability? Succession plan? | 3 senior PMs, 8-year avg tenure, junior pipeline exists |\n| Philosophy | Coherent investment beliefs? Edge identifiable? | Bottom-up quality growth; edge = proprietary channel checks |\n| Process | Repeatable? Documented? Adaptable to market regimes? | Structured idea generation, peer review, position sizing model |\n| Portfolio | Consistent with stated philosophy? Position sizing rational? | Top 10 = 45% weight, 40-50 names, sector-neutral |\n| Performance | Attributable to stated process? Or luck/beta? | Alpha from stock selection, not sector bets; Brinson attribution confirms |\n\nWeighting Quantitative vs. Qualitative:\n\nMost institutional allocators weight qualitative factors at 60-70% and quantitative at 30-40% in the final decision. The rationale: quantitative data is backward-looking and subject to survivorship bias, while qualitative factors (team, process, organization) are the forward-looking drivers of sustainable alpha.\n\nHowever, quantitative red flags are absolute vetoes: style drift, unexplained return patterns, or suspicious risk characteristics immediately eliminate a manager regardless of qualitative strength.\n\nExplore manager selection frameworks in our CFA Level III course.
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