Webinar-on-Demand
The Federal Reserve have released its scenarios for the 2019 CCAR stress test. Listen as Mark Zandi and Cristian deRitis discuss the narratives behind the Fed's scenarios under forecasts of detailed economic variables.
February 2019
Webinar-on-Demand
In this webinar, Mark Zandi and the Moody's Analytics team discuss recent changes to our Global Macroeconomic Model, and provide an overview of Scenario Studio, our new platform for custom scenario development. Learn more: www.moodysanalytics.com/scenariostudio
June 2018
Mark Zandi, Mark Hopkins
Webinar-on-Demand
The Federal Reserve has released its scenarios for the 2018 CCAR stress test. Join Mark Zandi and the Moody's Analytics team as they discuss the narratives behind the Fed's scenarios under forecasts of more than 1,500 detailed economic variables.
February 2018
Mark Zandi
Webinar-on-Demand
This webinar discusses how to leverage stress testing processes for tactical and strategic decision-making.
November 2017
Presentation
In this presentation, we demonstrate how forecasts based on industry data can be used to generate an objective benchmark of a bank's performance under baseline and stressed scenarios. We demonstrate results though case study of regional banks, peer groups, and larger CCAR-sized institutions.
November 2017
Webinar-on-Demand
In this webinar, we demonstrate how forecasts based on industry data can be used to generate an objective benchmark of a bank's performance under baseline and stressed scenarios. We demonstrate results though case study of regional banks, peer groups, and larger CCAR-sized institutions.
November 2017
Presentation
In this presentation, Dr. Olga Loiseau-Aslanidi and Alaistair Chan discuss methods for incorporating forward-looking macroeconomic information to meet IFRS 9 impairment calculation requirements. Our economists will address the probability-weighted aspects of IFRS 9 using Moody's Analytics economic scenarios. The team will also discuss our modeling approach for calculating expected credit losses for retail lending portfolios.
October 2017
Webinar-on-Demand
Join Dr. Olga Loiseau-Aslanidi and Alaistair Chan as they discuss methods for incorporating forward-looking macroeconomic information to meet IFRS 9 impairment calculation requirements. Our economists will address the probability-weighted aspects of IFRS 9 using Moody's Analytics economic scenarios.
October 2017
Article
In this article, we model and forecast the term structure of swap spreads across a range of currencies using a principle component decomposition.
October 2017
Article
This article discusses areas such as capital stress testing where simplification of regulations could improve the flow of credit while protecting the financial system.
July 2017
Presentation
How US policymakers respond to pressing fiscal challenges could have major implications for financial market conditions. These challenges, coupled with the debate surrounding the Fed's balance sheet and geopolitical issues, are of concern for those with exposure to market risk.
May 2017
Whitepaper
For the 2017 CCAR program, the Federal Reserve published three macroeconomic and financial scenarios to be used in stress testing 34 CCAR financial institutions. In this study, we analyze 27 institutions, with a total of more than $760 billion in exposures to commercial real estate loans, using Moody's CMM Stress Testing framework. This report describes how we derive credit loss estimates for the CRE loan portfolios held by CCAR firms. This is our first study leveraging the loan-level commercial banks' data collected via Moody's Analytics CRE Credit Research Database (CRD™). Our analysis estimates that the expected nine-quarter, cumulative CRE portfolio loss through the first quarter of 2019 is 6.5% under the CCAR 2017 Severely Adverse Scenario. The primary factors behind the higher loss estimate compared to last year's stressed scenario (5.1% loss) is that this year's scenario features a slightly more severe economic downturn and a significantly larger decline in commercial real estate prices.
March 2017
