
EBA: Guidelines on credit granting and credit risk monitoring
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The EBA - European Banking Authority published, in April 2020, the final version relating to the Guidelines on credit granting and credit risk monitoring, GLs LOM - "Loan Origination and Monitoring".
It should be noted that, despite the proposals and suggestions of the last twenty years starting from BASEL 2, BASEL 3, the financial and insolvency risks have not calmed down with the result that the great past financial damages have been paid to people through "unemployment "And" precarious work ".
Even the European Banking Association (EBA) affirms the common sentiment at the European level of the need to use advanced machine learning tools, which overcome the simplistic weighted calculations of Banks' Ratings and Advisory Ratings.
The substantive reasons with which the EBA, as confirmed in April 2020, advance in line with the vision anticipated in 2017 to use a system of KPI Standards and therefore to feed not only the information systems of Banks with SMART cognitive abilities are therefore very valid. allowing to understand the past credit risk, but also the possible, probable and future economic, legal and financial default.
The risk management analysis system is also provided for by the Crisis and Insolvency Code as early as 2019 (Insolvency Directive n.1023 / 2019). In this regard, an advanced SMART system already exists that goes beyond the mere understanding of Net Working Capital as the Banks did and goes beyond the simplistic use of a few indicators, such as the secondary liquidity index, even if it is a significant warning index of the situation. of crisis that is able to consider in a granular way the flows of the Revenue of the Companies thus guaranteeing the word "assurance" in terms of Credit Risk Management.
Therefore, technologies become the protagonists in the economic system to feed risk assessment and monitoring models (data quality) in terms of the significance of the analyzes, but above all of the truthfulness and reliability of the information used such as our XBRL Data Analytics Engine.
The big change will all be to the advantage of commercial, industrial, financial and insurance companies and therefore of the economic society, while taking into account the big mistakes made especially in the field of valuations.
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