PLATFORM OF NUMERICAL COMPUTATION, ARTIFICIAL INTELLIGENCE AND WORLD DATABASE OF HIGH-FREQUENCY ENVIRONMENTAL, FINANCIAL AND SOCIETAL DATA

Over the last ten years, two important initiatives to provide researchers with reliable access to financial data were launched in France by Eurofidai (UAR CNRS 3390) and the Institut Louis Bachelier (ILB). The Eurofidai database contains daily European financial data for common stocks, mutual funds, and corporate events and BEDOFIH provides high-frequency data for research. Since the 2015 Paris Climate Accord, interest in environmental, social, and governance (ESG) issues has grown considerably, however, researchers, public institutions, and financial players face difficulties accessing reliable and relevant ESG data.

The aim of this project is to create an international platform for numerical computation, artificial intelligence, and financial and ESG data. The first objective is to merge the Eurofidai and BEDOFIH financial databases. The second objective is to incorporate new ESG data. The proposed platform contributes to the development of new mathematical and statistical methods and improvement of existing ones, including data science and AI.

 The daily financial database has now been extended to Asia, Oceania, the Middle East, Africa, South America and the Carribean and the updating of the database has been automated. A new ESG database (Clarity AI) was added to the platform in 2023 and a new Green Bonds database is being developed (opening in March 2025). A new market (DXE) has been included in the high-frequency financial database and databases have been automated. Innovative extra financial databases and methodologies based on data science techniques have also been developed and made available through a dedicated platform, such as the COGEM database of estimated corporate greenhouse gas emissions covering over 47000 listed companies, and the bottom-up methodology for estimating future carbon emissions of the steel sector companies.[Ui1]