The first innovative system for listed companies based on artificial intelligence and machine learning dedicated to ESG factors (environment, social, governance)
Number_reference_aid_programme: SA.41471(2015/X) Purpose of public aid: Article 25 of Regulation (EC) No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty That’s it. EU L 187/1 of 26.06.2014). &bdquo;ESG &rdquo; “responsible investing” and “sustainable investment” these are aggregate terms that refer to the inclusion of environmental, social and corporate governance aspects in decisions concerning investors’ portfolios. ESG issues are often highlighted by the media when investors suffer sudden and significant losses in stock exchange shares — losses that are attributed to poor risk management related to one or more aspects of ESG. With the growing interest in ESG criteria, investors need a way to objectively assess the company’s ESG performance. This has led to the flourishing of a number of ESG credit rating agencies, such as Sustainalytics, MSCI and FTSE ESG, which rate companies (mainly larger and listed on stock exchanges) in terms of their ESG performance and share this data with their customers (investors). Companies are evaluated on the basis of publicly available information, such as media sources and annual reports. Companies that perform well in ESG indicators are thought to better anticipate future risks and opportunities, are more prone to long-term strategic thinking and focus on creating long-term value. However, given that many ESG agencies use different principles of sustainability in their methodologies, it is very difficult for the company to assess the exact requirements. Critics emphasised the need for methodological standardisation across the sector in order to build objectivity and credibility. Closir, who is a leader in the development of investor relations tools, meets market demand by developing innovations.