Private market analytics for institutional investors

Review multiples and internal rate of returns (IRR) on an absolute and relative basis. Analyze performance at the fund or group (e.g., ventured capitalist versus leveraged buyout) level. Compare performance relative to any benchmark via PME frameworks and Modified Dietz.

Project future capital calls and distributions at the fund level, and roll these up to the portfolio level. Access the Yale model and other industry models, or upload your own. Apply different projection models by vintage, style, and geography.

Contrast the cash requirements of your public market program with the liquidity available in your public program. Stress test your assumptions under various liquidity scenarios at the fund, category, and portfolio levels.

Measure your exposures more precisely via position-level rollup. Track whether exposures over time align with your allocation targets. Slice by asset class, sub-asset class, vintage year, sector, geography, or custom grouping.

Look through funds to monitor portfolio company details. Whether fundamental data, valuation details, and tags (e.g., sector, vintage, market cap). Construct valuation bridges to understand how your managers are adding value.
 

Model the impact of different cashflow projection assumptions and new private investments onto your portfolio. Evaluate how target exposures change under a what-if scenario.

If your portfolio includes allocations in private markets, you’re a good fit for this service.

If your portfolio includes a large allocation in private markets and a broad collection of private investment types (VC, LBO, private real estate, private credit), this is an essential tool for understanding your private market investments.

Additionally, intelligent document processing and the portfolio management tools included with this service are especially valuable if you are:

• Inquisitive and analytical—willing to ask hard questions about portfolio exposure and performance
• Interested in linking analytics for private and public investments

We assign a data analyst and client relationship manager to guide your team through integration. The process begins by setting up channels for SEI Novus to connect with your custodian, receive necessary documents from your GPs, or both. After extracting and digitizing investment data, an investment book of record is constructed which factors in your custom tree structure. SEI Novus platform dashboards are also tailored to match your investment teams’ workflows.

Pricing is a function of the number of investments and the extent to which managers provide portfolio company data.

We were hoping you would ask. Enjoy a brief demo of our Private Equity dashboard.

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