General Information & Client Service
  • Americas: +1.212.553.1653
  • Asia: +852.3551.3077
  • China: +86.10.6319.6580
  • EMEA: +44.20.7772.5454
  • Japan: +81.3.5408.4100
Media Relations
  • New York: +1.212.553.0376
  • London: +44.20.7772.5456
  • Hong Kong: +852.3758.1350
  • Tokyo: +813.5408.4110
  • Sydney: +61.2.9270.8141
  • Mexico City: +001.888.779.5833
  • Buenos Aires: +0800.666.3506
  • São Paulo: +0800.891.2518

Moody's Analytics Insights

Webinar-on-Demand
Business and financial report

Global Macroeconomic Model and Scenario Studio

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
Business and financial report

Briefing on the CCAR Scenarios

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
The Statue of Justice symbol, legal law concept image

Stress Testing Evolution: A Scalable Approach to Maximize Your Investment

This webinar discusses how to leverage stress testing processes for tactical and strategic decision-making.

November 2017

Presentation
FNB Texas Gaining Assets at Extraco's Expense

Producing Objective Income & Balance Sheet Forecasts Presentation Slides

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
Business and financial report

Producing Objective Income & Balance Sheet Forecasts

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
Lifetime ECL

IFRS 9 Scenario Implementation and ECL Calculation for Retail Portfolios Presentation Slides

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
Dr. Olga Loiseau-Aslanidi, Alaistair Chan

Webinar-on-Demand
Stones balancing on a blue sky background

IFRS 9 Scenario Implementation and ECL Calculation for Retail Portfolios

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
Dr. Olga Loiseau-Aslanidi, Alaistair Chan

Article
Idea concept with row of light bulbs

Modeling and Forecasting Interest Rate Swap Spreads

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
Business People Analyzing Statistics Financial Concept

Reconsidering Risk Management, Governance, and Stress Testing

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
Real GDP response to one std deviation in financial market stress

Potential Bumps Ahead for US Financial Markets

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
Real GDP growth under the CCAR 2016 and CCAR 2017 scenarios.

Estimating Commercial Real Estate (CRE) Stressed Loss Measures Under Federal Reserve 2017 Comprehensive Capital Analysis and Review (CCAR) Scenarios

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
Megha Watugala,  Dr. Jun Chen, Wenjing Wang

Whitepaper
New Origination Indices for All Loans

What Do 20 Million C&I Loan Observations Say about New Origination Dynamics? — Insights from Moody's Analytics CRD Data

We construct and examine new origination of C&I loans to middle-market borrowers using the Loan Accounting System data extracted from Moody's Analytics Credit Research Database (CRD/LAS). We find that C&I loan origination declines during the Great Recession and recovers soon after. The magnitude of the decline and the speed of the recovery varies across segments. For example, new lending to the financial industry decreases more than to the non-financial industry during the recession and recovers faster afterwards. Another example, new originations during the recession consists predominantly of short-term loans, while long-term lending becomes more dominant post crisis. This finding suggests that banks are using loan tenor as a means to mitigate risk during crises, at times even more so than credit quality.

February 2017
Dr. Pierre Xu, Tomer Yahalom, May Jeng