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Moody's Analytics Adds Stress Testing and Interest Rate Risk Models

By Construction Tech Review | Tuesday, January 29, 2019

NEW YORK, NY: Moody’s Analytics, a provider of risk measurement and management has announced the release of the RiskFrontier 4.0 software, the latest version of its award-winning portfolio management and economic capital solution for banks, insurance companies, asset management firms, and corporations.

The software includes two significant modeling innovations: the GCorr Macro Model, an expanded correlation model which enables clients to perform portfolio level stress testing; and, the ability to model the behavior of an exposure’s future cash flow using both credit and interest rate risk. The model supports single-period, simulation-based stress testing and reverse stress testing, as well as multi-period stress testing, as required by the Federal Reserve’s Comprehensive Capital Analysis and Review (CCAR).

The first approach utilizes simulation output from Moody’s Analytics RiskFrontier software, taking into account portfolio effects such as concentration, diversification and credit migration. This enables clients to apply stress scenarios to their entire portfolios, measuring resulting losses and the portfolio’s sensitivity to each scenario.

“GCorr Macro allows clients to see the effect macroeconomic scenarios have on an entire portfolio that might span commercial and industrial, small-medium enterprises, commercial real estate and retail loans. Clients can use the model to determine which variables have the greatest impact on a portfolio, or to determine which sectors are the most sensitive to specific variables. It also allows users to leverage their existing infrastructure, so implementation is relatively straightforward,” said Dr. Amnon Levy, Head of Portfolio Research, Moody’s Analytics.

Moody’s Analytics also implemented a bottom-up approach in the RiskFrontier 4.0 software to evaluate the losses accounting for both credit and interest rate risk at the instrument level. Moody’s Analytics built a framework which allows clients to model their interactions in a consistent way.

“Financial institutions have long been struggling to integrate credit and interest rate risk, often having no choice but to account for these risks in silos and then combine them using crude approaches. Moody’s Analytics integrated credit and interest rate risk model is the first of its kind that natively integrates the two sources of risk, improving the accuracy of results,” said Chris Shayne, Head of Portfolio & Valuation Products, Moody’s Analytics.

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