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 the model leverages the Takahashi-Alexander Model (a.k.a. Yale Model) and uses fund data with a minimum of 10 years. The model takes the fund strategy (e.g. Buyout) into consideration

For each investment a assumed projection curve is applied

  • Distributions

  • Drawdowns, Capital Calls, Contributions

  • Net Gain curve Scenario

these generic curves can be over-written with estimates, if required.

The model

The projection model takes into consideration the available reported data (dark green) and the estimations by the LP (light green). The model applies Apliqo proprietary projections methods (yellow arrows) to calculate the expected NAV uplift and the quarterly distributions per fund.

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Legend

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Info

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 more details to the Apliqo LP PM cash flow projection model can be requested at info (at) apliqo.com

Where to maintain the projections?

The projections are maintained in the Data Management - Fund setup - Fund projection assumptions

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How does the Apliqo Projection model work?

The model estimates for all Asset Classes and Strategies different contribution and distributions per quarter, based on the historic performance of the these asset groups.

Available Strategies are: Venture (VC), Buyout (BO), Growth (GROWTH), Infrastructure (INFRA), Real Estate (RE), Private Debt (PD)

The Portfolio manager applies for each fund a percentile estimate on how the fund will call capital and pay distributions.

Apliqo maintains a forecast model for these asset classes and strategies per vintage year. As an example a contribution curve for a Buyout fund rated as 75 % percentile could look like this.

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Note

Disclaimer:

  1. Limited Reliability of Algorithms: The Software utilizes various algorithms to generate projections. While Apliqo have made reasonable efforts to ensure the accuracy and reliability of these algorithms, it is important to note that they may not always produce entirely reliable results. Factors such as input data quality, system configurations, and other variables can impact the accuracy of the projections. Therefore, Apliqo cannot guarantee the absolute reliability or correctness of the algorithmic outputs.

  2. No Liability for Inaccurate Results: Apliqo and any other associated parties shall not be held liable for any inaccuracies, errors, or damages resulting from the use of the Software or its projections. This includes, but is not limited to, financial losses, disruptions in business operations, or any other direct or indirect damages arising from reliance on the projected data.

  3. User's Responsibility for Validation: It is the user's responsibility to independently validate the projections generated by the Software and exercise caution when relying on them. The user should exercise their professional judgment and consider multiple sources of information before making any decisions based on the projections obtained through the Software.