Moody's Analytics provides financial intelligence and analytical tools supported by risk expertise, expansive information resources, and the application of new technology. Its solutions, made up of research, data, software and professional services, are assembled with the aim of delivering a seamless customer experience.
International Financial Reporting Standard (IFRS) 9 introduced a new accounting standard for financial instruments when it came into effect in January 2018. Taking first place for helping customers solve challenges around IFRS 9 is Moody's Analytics, winner of the inaugural RiskTech100 ® IFRS 9 award.
ImpairmentCalc™ software produces IFRS 9 ECL estimates which are both forward-looking and incorporate the latest changes in the macroeconomic environment.
As internal model development and use of vendor models for CECL submission are fast in progress for those submitting by January 2020, our analystsreview a checklist that will help you organize CECL project plans.
In this article, we describe the methodology used by Moody's Analytics to assign probabilities to its regularly produced alternative macroeconomic scenarios and to calibrate these scenarios by taking into consideration recent post-crisis economic conditions.
In this webinar, our economists and consumer credit analyst share insight on techniques and best practices for modeling allowances for CECL.
Performance optimization through business insight, dealing with IFRS 17 in a post-Solvency II world, and the challenges associated with stress testing for insurance firms in the US. These were the focus areas for Moody's Analytics at this year's Moody's Insurance Summits in London and New York.
With the emergence of CECL, many lenders have been worried about how the forward-looking approach would affect their reserves and future loan originations.
Prudent credit risk management ensures institutions maintain sufficient capital and limit the possibility of a capital breach. With CECL and IFRS 9, the resulting trend toward greater credit earnings volatility raises uncertainty in capital supply, ultimately causing an increase in required capital. It is ever more challenging for institutions to manage their top-of-the house capital while steering their business to achieve the desired performance level. This paper introduces an approach that quantifies the additional capital buffer an institution requires, beyond the required regulatory minimum, to limit the likelihood of a capital breach. In addition, we introduce a new measure that allocates capital and recognizes an instrument's regulatory capital requirements, loss allowance, economic concentration risks, and the instrument's contribution to the uncertainty in capital supply and demand. In-line with the Composite Capital Measure introduced in Levy and Xu (2017), this extended measure includes far-reaching implications for business decisions. Using a series of case studies, we demonstrate the limitations of alternative measures and how institutions can optimize performance by allocating capital and making business decisions according to the new measure.
Reserving for loan loss is one of the most important accounting aspects for banks. Its objective is to cover estimated losses on impaired financial instruments due to defaults and non-payment. Reserve measurement affects both the balance sheet and income statement. It impacts earnings, capital, dividends and bonuses, and attracts the attention of bank stakeholders ranging from the board of directors and regulators to equity investors. In response to the so-called “too-little, too-late” problem experienced with loan loss reserve during the Great Financial Crisis, accounting standard setters now require that banks provision against loan loss based on expected credit losses (ECL). Arguably, calculating the Expected Credit Loss Model under IFRS 9 and CECL presents a momentous accounting change for banks, with the new standards coming into effect sometime between 2018 and 2021, depending on the jurisdiction.
Amnon Levy, managing director and head of portfolio and balance sheet research at Moody's Analytics, discusses the evolving expectations of institutions for credit portfolio management, as well as how it is being altered and adapted amid greater impact from new regulatory and technological advancements.
In this presentation, our experts discuss risk measurement tools and techniques to help with IFRS 9 validation and/or benchmarking to market best practice and the communication of such validation to senior stakeholders.
Alexis Hamar, Roshni Patel