In these uncertain times, many of our clients have asked us how to deal with the impact of COVID-19 on IFRS9 and the Definition of Default.
Read our published opinion on how to incorporate the regulatory guidance.
The European Banking Authority (EBA) published today the final methodology and draft templates for the 2020 EU-wide stress test along with the key milestones of the exercise. The methodology and templates cover all relevant risk areas and incorporate the feedback received during the discussion with the industry in the summer of 2019. The stress test exercise will be formally launched in January 2020 and the results published by 31 July 2020.
EBA released templates and methodology guides and the timeline for the stress test, along with the preliminary list of 50 sample institutions participating in the exercise. The final methodology will be published by the end of 2019. The EU-wide stress test will be launched in January 2020 while results of the test will be published by the end of July.
The EBA finalised guidelines on the supervisory review and evaluation process (SREP), on stress testing as well as on interest rate risk in the banking book (IRRBB). Read more about how new regulation affects your institution.
How are valuation adjustments (XVA’s) impacting the bottom line? By what methods are practitioners using them to make business decisions? And how will current trends in XVA determine the future of derivatives? These are a few of the questions Fintegral will address over coming months as part of a survey of leading global banks for
What are the most promising machine learning techniques for credit risk evaluation? Fintegral will assess the options at the Artificial Intelligence in Industry and Finance conference in Winterthur, Switzerland on Friday September 7.
A Fintegral survey of Value at Risk methodologies and frameworks at tier 1 banks suggests a lack of preparedness for the Fundamental Review of the Trading Book (FRTB). Among the key findings: Most respondents view data quality as a major concern for them Institutions appear ill-prepared to meet the new requirements.
Both banks and regulators want to manage the risk created by the use of models, but they’re frequently at odds over how to do it. In the new yearbook of the Frankfurt Institute for Risk Management and Regulation (FIRM), Fintegral Partner Dr Andreas Peter and Helaba Bank Head of Credit Risk Management Stephan Kloock present
How do we manage risk in future? As traditional banking is turned on its head by FinTech and the acceleration of digitalization, how are we innovating to meet the expectations of both the market and supervisors? These were two of the questions discussed recently at Fintegral’s 31st Expert Forum in Frankfurt. Speakers from Commerzbank, Bergmann &
From robot surgery to self-driving cars, the algorithms used to control socio-technical systems are becoming more powerful. And in the era of machine-learning, our cyber decision-makers both learn and adapt. But what do we know about the risks involved? If machine-learning is not to be a technological black box, then there needs to be transparency and
We have revised and updated our report “Observations on Model Risk”, a benchmark survey of 54 financial institutions carried out by Fintegral and the IACPM. Key points: While SR11-7 has emerged as a global standard for model risk management (MRM), there are pronounced differences in how institutions approach it according to size and regulatory environment