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Quantitative analysis & data management

QA Direct

Focus more time on research with access to a huge range of pre-integrated, standardized data from one source.

Why choose QA Direct?

QA Direct provides access to a huge range of content ready to use 'out of the box' for quantitative analysis, together with the tools to integrate proprietary data. This gives you direct access to our best-of-breed content - as well as from other leading vendors, including S&P, MSCI, and Russell - without the pain.

Freed from the burden of preparing data, quants can spend more time developing and testing differentiated ideas, optimizing portfolios, and managing risk.

With QA Direct now available in the cloud, asset managers can avoid capital lock-in, eliminate database administration, and get access to the data for new quant initiatives fast.

Features & benefits

What you get with QA Direct?

Advanced database structure

Microsoft SQL Server or Oracle with documented database schema and diagrams. Pre-integrated, standardized data from one source.

Flexible access

ODBC-compatible, linked to SAS, Matlab, R and S-PLUS, and more for optimization. Map proprietary content to data with speed.

Integrated data offerings

Each vendor set is interlinked through our proprietary mapping system. Our database is designed to be fully expandable.

Broad and deep content

QA Direct comprises content for global pricing data, economic and company data from us and third-party providers.

How it works

Find out how QA Direct works

Data normalization

  • Standardization of data obtained from different sources at different time periods

Data concordance

  • Aligning disparate data sets with a single identifier that properly accounts for corporate actions and eliminates survivorship and look-ahead biases
  • Each single ID features time-series histories of SEDOLs, CUSIPs, RICs, Tickers, ISINs and other corporate action identifiers.

Data mapping

  • Pulling data from various sources and vendors relevantly and seamlessly
  • Time Series Mapping for select content sets for point-in-time mapping