In this webinar, experts from Moody’s Analytics will demonstrate the three steps to managing liquidity, compliance and the business.
With greater clarity of the regulatory compliance environment than at any time since before the financial crisis, banks have an excellent opportunity to get off the compliance treadmill and move forward with strategic technology platforms for managing risk.
This whitepaper covers the challenges and best practices for closer alignment of liquidity risk management and regulatory reporting.
The new Basel Committee on Banking Supervision (BCBS) standards for IRRBB come into force January 1, 2018. This paper looks at the standards from a practical implementation point of view and raises some of the main challenges.
Many banks have begun the implementation of IFRS 9 and Moody's Analytics offers solutions for many of the impairment challenges under the new IFRS 9 standard.
Funds transfer pricing (FTP) is of growing concern to banks and regulators. But what does FTP have to do with stress testing? A comprehensive FTP framework can help organizations use the results of stress tests to forecast their P&L across departments.
This webinar looks at the need for data quality when managing volatile ratios in a short period of time, improving performance in a low interest rate environment and fulfilling the detailed reports required by supervisors.
This article compares the similar concepts of enterprise risk management and integrated risk management, and considers what risk practitioners can learn from an analysis of the best practices of each in order to strengthen businesses.
In this article, we explore the impact of the rapid change in reporting, driven by regulatory and management needs, and the best practices for overcoming this evolving challenge.
Integrating different risks in a single framework greatly benefits all financial institutions – leading to better communication, risk assessment, and long-term performance.
This article illustrates that a crisis can occur, or be exacerbated, when risks are managed in different silos in banks. It first defines the different types of risks that can be correlated and provides examples that illustrate how banks should model the different risks together.