Libris Financial Performance Attribution

Performance Attribution Software & Analysis - A totally Unique Service.


Implementing a Performance Attribution system can be a challenge for any size of financial organisation. With Libris Financial Performance Attribution, there is no need to purchase or install any software or hardware. Available as an in-house installation or a 'cloud' computing service, Libris Financial Performance Attribution instead makes use of our UltraSecure data warehouse, multiple data feeds, secure web-portal and processing capability of Libris Financial itself to bring to your browser, a sophisticated set of functionality to generate Performance Attribution Returns based entirely on the raw data you provide.

Maintaining Benchmarks

LF Performance Attribution allows you to create and maintain your own benchmarks. Whether you choose to employ a real Index Benchmark or Composite Benchmark consisting of your own investible Strategic Asset Allocations, LF Performance Attribution caters for specific benchmark analysis.

Combined Strategic and Tactical Asset Allocation Attribution

What is more is that LF Performance Attribution can generate Attribution returns which incorporate both Strategic Asset Allocation (SAA) benchmarks and Tactical Asset Allocation (TAA) benchmarks, thereby generating returns data that represent precisely the investment analysts and fund managers decisions within a given performance period.

GIPs standards

LF Performance Attribution can be tailored to your own method of calculation or can be set to achieve comparability within the industry by adhering to the GIPS standard calculation methods for underlying fund market values and attribution using:

  • Arithmetic method or Geometric method
  • Sub-period Linked Returns

Attribution Models

Given that there is no one universal standard method for attribution, the calculation process can be customised to specific client requirements. Most clients opt for the simple Holdings Based Attribution method, either monthly or daily. That said, because LF Performance Attribution is fully customisable, any method, including transaction based, various linking formulae and sector level analysis can be accommodated if preferred.

Source Data Management

We offer a number of secure mechanisms to allow data to be sent to us. A growing number of large financial institutions employ these data delivery methods which make use of the highest levels of active and passive security measures to ensure safe delivery.

As information is refreshed on your chosen frequency, your data is automatically reconciled to ensure integrity since the previous data capture process. The core data repository is a highly sophisticated database capable of handling huge volumes of data and processing. This provides the central hub for Performance Attribution.

Data Security

Exact take the issue of security very seriously. That is why, in collaboration with our clients, we have developed a security platform that meets or surpasses some of the most stringent measures employed today for on-line banking transaction processing.

Our advanced security packages can be customisable to individual company policy but all will provide at least the following active and passive internet security features shown on our LIBRIS Security page.

Secure Web Portal

A complete and comprehensive module allows Managers to view on-line all the financial data captured prior to attribution generation, including:

  • Portfolio Market Values at any date
  • Missing Prices, Index values, stale price warnings etc.
  • Security Transaction History
  • Cash Transaction History
  • Income accruals
  • Income receipts
  • Fees and other expenses
  • Benchmarks
  • Indexes

Attribution Report Generation

Portfolio Attribution report generation can be initiated either manually through the web interface or via https:// requests directly to the hosted server. Delivery can be triggered by the initiation to be either on screen reports, downloadable pdf reports or XML streamed data. The secure interactive gateways allow trusted users the ability to view portfolio data and request/receive attribution reports via the central hub, from anywhere in the world.

Each Attribution Report defines over a given period:

  • Index or Composite Benchmark options
  • SAA and TAA combined Attribution
  • Benchmark & Portfolio Weightings
  • Benchmark & Portfolio Return
  • Benchmark & Portfolio Contribution
  • Total Active Return
  • Asset Allocation effect
  • Stock Selection effect
  • Interaction effect


  • Total Portfolio level
  • Asset Group Level
  • Asset Class Level
  • Security Level
  • Cash level

Asset Groups and Classes

An on-line feature is the ability for underlying security instruments to be grouped together to create Asset Classes and Asset Groups in order to determine Sector/Stock level attribution.

Complex Portfolios

LF Performance Attribution as a standard platform can easily handle the Attribution models for Equity Portfolios. More complex portfolios, eg. with a mixture of Bonds or other fixed/variable instruments can be included upon consultation regarding preferred methods and availability of the specific raw data available that these instrument types dictate.

Factset Interface for Advanced Attribution

If you have a need to report at a level higher than that of LIBRIS Performance Attribution with greater depth of Benchmark Analysis, LIBRIS Performance Attribution can generate 'Performance Ready' interface files for onward transmission into FactSet and other 3rd Party Attributions systems. We have specific knowledge and experience in generating FactSet ready TBR files from legacy databases (eg., HiPortfolio).

The customer raw data is delivered via secure ftp to our secure hosted platforms, we then fully reconcile that data and build the complex derived data structures required to satisfy the requirements of daily or periodic performance attribution. Using our fully automated Secure File Transfer mechanism, users have full flexibility over the funds they are processing and seamless integration can be achieved between legacy databases and the performance measurement systems.