Universe Analytics and Benchmarks
limited Partner-sourced, Research Quality
The Burgiss Manager Universe (BMU) provides unrivaled breadth and depth of coverage of research-quality performance and behavioral data on private capital funds and their holdings, with nearly 9,300 private capital funds and fund-of-funds from 1978 to the present. This data represents more than $6.6 trillion in committed capital across the full spectrum of private capital strategies, including private equity, private debt, and real assets.
The Burgiss Manager Universe:
Powers our universe and benchmarks tools, Private iQ and the Universe Analytics module of the Private i Platform
Underpins peer group portfolio and manager benchmarking in the Private i platform
Provides the foundation for bespoke engagements with our Applied Research team
Helps power 3rd-party risk models
Supports independent research with the Private Equity Research Consortium
Data for the universe is sourced exclusively from limited partners, avoiding the natural biases associated with other data sourcing models which rely on voluntary manager submissions and FOIA requests.
Results are always net of fees and carried interest to limited partners.
Results are updated with every quarter end publication date.
Fully customizable peer groups and robust analytics enable meaningful and consistent comparisons — users can benchmark managers and portfolios, establish expectations for modeling different asset classes, and stay up-to-date about macro changes in the investment environment.
Data is enriched through the Private Capital Classification System (PCCS), a set of strict rules, taxonomies and classifications that are subject to yearly review.
Private iQ & Universe Analytics Through the Private I Platform
Private iQ and the Private i Platform are web-based application that provide tools that tap into the Burgiss Manager Universe data through its analytical engine. Calculations are real-time, providing the ultimate in flexibility to help answer questions about the performance, cash flow, and valuation behavior of private capital.
The Measure Reports provide users with the traditional method of summarizing the behavior of funds by allowing the grouping and filtering by Vintage Year, Asset Class, Geography, Industry, Development, and Market. These reports are available in a variety of formats which can provide Point to Point, Trailing Period, and other dynamic calculations.
The Time Series Calculator provides a stream of pooled quarterly time-weighted rates of return for a selected set of funds.
The Profiler presents an intuitive way to examine the performance and cash flow behavior of a selected set of funds over their life.
The iQ Test is a quantitative due diligence solution that allows for an easy comparison of a manager’s track record to a user-specified peer group.
The Relationship Explorer is an analytical tool that visually and quantitatively describes the relationship between any two of the available measures for a selected set of funds.
The Concentration Analysis measures the distribution of wealth for a selected set of funds using the Lorenz curve methodology. It allows users to better assess their risk profile by determining what percentage of the funds is driving performance.
Advanced features, such as the Conditional Filter, allow fine-tuned narrowing of results that depend on calculated criteria, for example selecting only the top quartile IRR – 1 Year funds within the user-defined universe. Private iQ provides the ability to compare private capital funds to a user-specified index using various public market comparison methodologies, including Gredil-Griffiths-Stucke Direct Alpha, the Kaplan-Schoar Public Market Equivalent, or the Long-Nickels Index Comparison Methodology. Preferences include the ability to calculate Pooled and Individual fund results in user-specified currencies. This functionality is currently supported in all modules with the exception of Relationship Explorer and Concentration Analysis.
“...the Burgiss data are arguably the most comprehensive performance data for private equity”