Evaluates activist investor campaigns with thesis assessment, proposed changes, and likely outcome analysis. Use when analyzing activist situations, evaluating campaign theses, or assessing activist track records.
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Evaluates fund-of-funds secondary transactions with layer-on-layer fee analysis, double-carry impact, and net return adjustment. Use when pricing FoF secondaries, analyzing fee drag, or modeling net LP economics.
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Evaluates fund-of-funds secondary transactions with layer-on-layer fee analysis, double-carry impact, and net return adjustment. FoF secondaries carry structural complexity beyond single-fund deals because the buyer inherits two (or more) fee layers — the FoF manager's fees and carry plus the underlying GPs' fees and carry — all of which erode net returns and must be modeled explicitly to arrive at a defensible bid price.
Map the fee stack. Build a two-layer fee model: underlying GP fees/carry flowing up to the FoF, then FoF manager fees/carry applied on the net amounts. Confirm whether FoF management fees are still in the investment period (charged on commitments) or post-investment period (charged on NAV or invested capital). [VERIFY FoF LPA fee step-down provisions and any fee holidays]
Project underlying fund cash flows. For each material underlying fund position, model gross distributions and remaining capital calls based on fund maturity, sector, and GP track record. For tail-end funds, apply realization multiples; for mid-life funds, use growth-rate-based projections. Aggregate into a blended schedule of gross cash flows flowing to the FoF.
Apply underlying GP fees and carry. Deduct each underlying fund's management fees from capital calls and apply carried interest to distributions above the preferred return. Model waterfall mechanics — for whole-fund carry structures, track cumulative preferred return accrual; for deal-by-deal, apply carry per realization. Output: net distributions from underlying funds to the FoF.
Apply FoF-level fees and carry. From the net cash flows arriving at the FoF, deduct FoF management fees and operating expenses. Apply FoF-level carried interest using the FoF waterfall (typically whole-fund European style). Account for FoF GP clawback if modeling downside scenarios. Output: net distributions from FoF to the LP (the secondary buyer).
Calculate net LP economics. Using the purchase price as the initial outflow (plus any assumed unfunded obligations at the FoF level), compute net IRR, net MOIC, and DPI over the projected hold period. Break out total fee drag: show gross-to-net waterfall from underlying fund gross returns → after underlying GP fees → after FoF fees → net to LP.
Run sensitivity analysis. Key variables to stress-test:
Quantify double-carry drag. Isolate the incremental return erosion from the second carry layer. Compare net LP returns in the FoF structure versus a hypothetical direct secondary at equivalent gross returns. Express as basis-point drag on net IRR and percentage reduction in net MOIC.
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概要と使いどころ
Evaluates activist investor campaigns with thesis assessment, proposed changes, and likely outcome analysis. Use when analyzing activist situations, evaluating campaign theses, or assessing activist track records.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates corporate vulnerability to shareholder activism with governance assessment, valuation gaps, and operational improvement opportunities. Use when assessing activist risk, identifying vulnerabilities, or preparing defensive analyses.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates bolt-on acquisitions for existing platforms with strategic fit, synergy quantification, and return contribution analysis. Use when screening add-on targets, building platform acquisition strategies, or modeling tuck-in economics.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates signal half-life, turnover implications, and capacity constraints for systematic alpha factors. Use when analyzing signal persistence, evaluating factor decay, or estimating strategy capacity.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates alternative data sources including satellite, NLP sentiment, web scraping, and geolocation for alpha signal generation. Use when analyzing alt data, evaluating new data sources, or integrating non-traditional signals.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates competition law exposure with market definition, HHI analysis, and remedy estimation for proposed transactions. Use when assessing merger clearance risk, analyzing market concentration, or preparing HSR filings.
日本語の概要は準備中です。原文の説明を表示しています。