Moody's Analytics Insights

Actuarial Models in IFRS 17 World

Risk Technology Awards 2019: Enterprise-wide Stress-testing product of the year

Stress‑testing plays an important role in enhancing risk management practices. However, it requires significant co‑ordination and participation, and banks must optimise their resources, technology and data to ensure they can respond quickly to management and regulatory requests.

June 2019


Beyond Compliance: Extending the Value of Risk Insights

The risk function has emerged as an important strategic decision-making partner for critical functions such as business development, finance, operations, and technology.

May 2019
Roshni Patel, Mehna Raissi, Jin Oh


Moody's Analytics Webinar: Validating Models Effectively

Listen as Anamaria Pieschacon and Michael Brisson a discuss effective approaches for validating consumer credit risk models.

February 2019
Anamaria Pieschacon, Michael Brisson


Chartis Research | Moody's Analytics Credit Risk Vendor Analysis Report

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.

February 2019

illuminated charts and graphs

Stress-Testing States 2018

This paper estimates the amount of fiscal stress likely to be applied to state budgets under different recession scenarios and comparing that stress to the amount of money states have set aside in reserve. This year's exercise also expands the scope of stress-testing by including a look at how economic stress translates to public pensions.

September 2018

Businessmen and woman standing together by railing conversing

Insight, IFRS 17, and Innovative Technologies - Drivers of Change in the Insurance Industry

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.

July 2018

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:

June 2018
Mark Zandi, Mark Hopkins

Abstract lines on architecture

Dynamic Model-Building: A Proposed Variable Selection Algorithm

In this article, we propose an innovative algorithm that is well suited to building dynamic models for credit and market risk metrics, consistent with regulatory requirements around stress testing, forecasting, and IFRS 9.

January 2018

Green apple cutting in the shape of pie chart on back board

Stressed Realized LGDs: Forecasting Recovery Rates under Alternative Macroeconomic Scenarios

This article proposes a method of modeling realized losses given default (LGDs) as a function of macroeconomic drivers for stress testing purposes.

October 2017
Dr. Samuel W. Malone, Dr. Martin A. Wurm

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

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