FactSet to Provide Fundamental and ESG Data to Government Pension Investment Fund

Content will fuel GPIF’s efforts to strengthen index selection and analysis

TOKYO and NORWALK, Conn., April 23, 2020 (GLOBE NEWSWIRE) -- FactSet (NYSE:FDS | NASDAQ:FDS), a global provider of integrated financial information, analytical applications, and industry-leading services, today announced that it will provide financial, non-financial, and benchmark data to the Government Pension Investment Fund (GPIF) of Japan. This content will support GPIF’s stated goal of improving the sophistication of its passive investment management through increased analysis of and engagement with index providers.

FactSet will deliver over 20 content sets as part of GPIF’s introduction of its new . The Index Posting System will enhance GPIF’s overall fund management by efficiently collecting a range of information to facilitate more extensive and effective index analysis.

All content will go through GPIF’s Index Data Entry and Analysis System (IDEAS), a new cloud-based technology and analytics platform that will aggregate all the data and information flowing through the Index Posting System. IDEAS will serve as the technical infrastructure for aggregating content posted through the IPS and combining this with ESG and other non-financial and financial data to enable efficient benchmark selection and verification of whether indices are in line with GPIF’s purpose for ESG investing. The provisional version of the Index Posting System was launched in 2019, with the full version scheduled to go live in 2020.  

“GPIF is taking an extremely advanced approach to improving index selection that will drive results for asset owners,” said Yumi Tanaka, Regional Director of FactSet Japan. “The Index Posting System is an important initiative that leverages technology to adapt to the changes in our industry, and FactSet is proud to be a part of it. Our ability to manage and connect financial and non-financial datasets efficiently across multiple countries and asset classes complements GPIF’s efforts and will expand the universe of knowledge on which it can rely.”

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