FinLab Unveils New Version Of Shadow Accounting Software

Sep 16 2009 | 11:08am ET

FinLab SA has unveiled the latest version of its fund of funds shadow accounting module, PackHedge v.4.1.

The new release—aimed at both traditional and alternatives fund of funds managers—includes the addition of a fully customizable liquidity ladder analysis tool for detailed cash projections. It allows the user to track all transactions, shareholder positions and allocations for analyzing the evolution of the fund of funds balance sheet, including number of shares, NAV prices, expenses, fees, cash, future/forwards and equalization.

"In today's environment, most firms need this type of information at their fingertips and sifting through countless Excel spreadsheets, investment memoranda and/or relying on administrators is no longer adequate," said Denis de Pentheny O'Kelly, CEO of FinLab.

"Our shadowing accounting module solves the important need of shadowing ones administrator and now provides a comprehensive means to properly assess the liquidity status/exposure of ones portfolio whether it be a simple structure or more complex master, feeder, series and cross investment structure."

FinLab is a software solutions company that develops, distributes and supports one of the world's most advanced systems for fund investment research, analysis and asset allocation for both hedge funds and traditional funds. The company's product suite, PackHedge, is a series of state of the art modular software tools that provide multi-source, multi-currency, multi frequency qualitative and quantitative data management model.

PackHedge includes data aggregation, statistical analysis and charting, a multi-dimensional query engine, complete pro-forma portfolio simulation, comprehensive fund of funds portfolio management, liquidity ladder analysis, contribution analysis, investment exposure and customizable reporting capabilities. In addition, tools to manage time series imports and customizable due diligence questionnaires are provided to ensure full data integrity.


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