Banks use risk management technologies based on artificial intelligence (AI) to mitigate losses, identify market opportunities and increase profits, for the purposes of payment security, financial transactions as well as sustainability, which is ever more important in this field.
The use of alternative data from non-traditional sources in the banking and financial field is still on its outset, but it is expected to become more and more crucial in the future. What are they? How can a bank use them? And which advantages can a bank take of them, for its activity?
What do we mean by risk management amid financial crisis and regulatory developments? What are its stages, how many methods exist and which tools are available to credit institutions or financial companies wishing to mitigate risks? Here are some answers.
Banks cannot rely no more only on the trinomial ‘revenues, gains and profits’ to gain customers’ confidence. They have to be ethical institutions, concerned about and investing in social issues. The gathering and the analysis of data is also crucial for the calculation of the Banking Social Index.
An increased number of credit institutions will be subject to the tests (9 of them are Italian), together with a reduced tolerance by the European Banking Authority. Two macroeconomic scenarios will be considered: a base one and an adverse one. The results will be published by the end of July.
Banks are typically exposed to four main risks: credit risk, operational risk, market risk and liquidity risk. The ‘reasoned map’ below will help to understand what they are, their causes and how credit institutions can avoid such risks to survive as well as prevent losses in investors and customers.
What are the ESG? Which are the changes introduced by the sustainability regulations for banks? In addition to direct risk, which risks credit institutions have to directly face for their business, to support the financial activities of their clients?
Risk assessment: what it is and why it is important for banks The globalisation of financial markets, the development of information technology as well as the increasing competition have affected banking activities to a great extent, especially the associated risk management, which has become a pillar ensuring banks’ productivity and soundness. In fact, in terms [...]
Supervisory Reporting Supervisory framework Since 2014 banking and financial supervision is performed within the Single Supervisory Mechanism (SSM), i.e. the supervisory framework implemented by the European Central Bank together with national banks of countries belonging to the euro area. In addition to the Single Resolution Mechanism, entered into force on 2016, the SSM is the [...]
Regulatory and Primary Reporting Regulatory reporting refers to reports provided by intermediaries - according to relevant legal provisions - to supervisory bodies, to comply with specific requirements. It provides information required by authorities to market participants. There are different types of regulatory reporting, according to intermediary’s category (banks, financial institutions, securities firms, etc.), frequency and [...]
Basel Frameworks The principles included in the documents issued by the Basel Committee (composed by the governors of national central banks) and that, for various reasons, are assimilated under the concept of ‘Basel Frameworks’ refer to principles for a sound and prudent management of the whole financial system. A sound and prudent management, or rather [...]
Information Management and Pillar 3 What is Information Management According to Davis’ definition, Information Management is ‘the process through which relevant information are timely provided to decision makers’. This means that the value of knowledge generated by data elaboration is used to provide decisional and operative support to corporate management. Managers or corporate boards receive [...]