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Alternative Investments

Release 24.10

enhancement

Up-to-date contribution rates and bow factors based on private market data

Within ASTRA, several forecast models provide strategy-specific parameters for the Takahashi-Alexander Model. For the critical parameters of the fund’s annual contribution rates and its bow factor, ASTRA has so far relied on historical expert opinion and research papers. Users perceive this to be too judgmental and often not in line with recent market developments. This feature offers an improved solution by accessing private market data and automatically calculating up-to-date contribution rates and bow factors.

The forecast model has a new setting parameter to cap contributions in the divestment period to address the edge case where too little capital was called during the investment period and to stop the model from projecting unrealistically high distributions to investors. The resulting contribution rates are stored together with information about the used benchmark data. The calculation can be run as a batch task (Alternative Investment – Calculate Contribution Rates). 

Also, the resulting bow factor is stored together with information about the used benchmark data. The calculation can be run as a batch task (Alternative Investment – Calculate Bow Factors). The solution solves the optimization problem to find the bow factor that minimizes the distance between the Takahashi-Alexander Model and the private market data DPIs.

Benefits 

  • Ability to leverage the private market data users have available
  • Ability to work with up-to-date and granular data (in line with what private market databases provide), more specific to the user’s investment strategies
  • Increased detail when analyzing different investment strategies

 

The private market data provider’s PICC (Paid-In to Capital Committed) statistics per strategy forms the basis for extracting and averaging the yearly contribution rates:

ASTRA_Contribution_Rates

 

This example shows how for the strategy PRIVATE CAPITAL – ALL and for the vintage year peer group population the data for various fund ages (year 1, year 2, etc.) are used to collect the PICC data.

The private market data provider’s DPIs (Distributed-to-Paid) statistics per strategy forms the basis for determining the fund’s bow factor:

ASTRA_Bow_Factors

After the calculation, the best fitting bow factor can be looked up: 

ASTRA_Show_Bow_Factors 

 

Subscription based licensing

Alternatives Strategy Analysis

Sales module dependency

Alternative Investments Manager

Cash-flow Forecasting for Illiquid Alternative Investment Funds

 

enhancement

Import/update of drafts from deal pipeline maintained in external system

ASTRA models future commitments to funds in the draft section. Front-office managers manage the pipeline investments in deal-flow systems like DealCloud, effectively leading to redundant input work. To be able to include the pipeline of planned commitments in ASTRA projections and to avoid duplications of manually maintained data, ASTRA now supports the import/update of deals into SimCorp Dimension.

Benefits 
  • Significantly reduced manual effort and operational risk
  • Improved front-office manager support

 

Pipeline data is Imported into a new screen, External Portfolio Strategy Drafts, and automatically assigned best matching forecast model. Deal information (ID, name, and status) are made available in the Portfolio Strategy:

ASTRA_Imported_Deals

 

Subscription based licensing

Alternatives Strategy Analysis

Sales module dependency

Alternative Investments Manager

Cash-flow Forecasting for Illiquid Alternative Investment Funds

 

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