Solvency II Solutions

RiskFoundation
One of the most powerful data warehouse solutions, providing an integrated auditing function and seamless integration with the insurer’s existing systems.

Solvency II: End-to-End Solvency II Regulatory Solution to Manage Insurance Risk
From data gathering and storage to integrated calculations and regulatory reporting, RiskIntegrity makes achieving regulatory requirements easy and streamlined. It offers broad coverage, transparency and data quality management that allows business managers to gain deep insight into their risk sources and embedded value.

Regulatory Reporting Module: Accurate Regulatory Reporting Made Easy
Ranked as the #1 regulatory reporting solution by Risk Magazine’s Risk Technology Ranking’s 2009, 2010 and 2011, our solution is used by some of the largest financial institutions worldwide. It is an automated, easy-to-use, cost-effective solution that allows institutions to accurately report their regulatory requirements in local supervisory formats and languages.

Leading French Insurance Group – Solvency II solution
This leading insurance firm chose Fermat Solvency II to meet regulatory requirements and ensure compliance. Our robust datamart was a key influencing factor in the client’s decision as they had a requirement to centralise their data in order to achieve compliance across the business.

A French Mutualist Group
This French mutualist group selected Moody’s Analytics to manage its Solvency II capital calculation, reporting and data management. Moody’s Analytics end-to-end Regulatory Solution will enable the client to meet Solvency II requirements. The client stressed Moody’s Analytics superior product’s flexibility, comprehensiveness and performance as the key reasons for selection. 

A Leader Italian Insurer
This large Italian insurer chose Through-the-Cycle EDFs as the tool to calculate economic capital as required by Solvency II. Key factors to our success were the unique advantage of combining a high degree of stability over the cycle with a minimal loss of forward looking default prediction power. By using our Through-the-Cycle EDFs, the client will significantly lower its economic capital charge for its large number of unrated counterparties.

A Leader Spanish Insurance Group
This leading provider of life and non-life insurance to the Spanish and Portuguese markets selected Moody’s Analytics for its end-to-end Solvency II regulatory compliance and reporting. After completing a gap analysis, the group decided to invest in  a comprehensive software solution for complete Solvency II compliance for all risk types with robust data management capabilities. The client stressed Moody’s Analytics solution’s robust and open architecture, modularity, regulatory capital calculation and modelling capabilities.

Economic Scenario Generator
Collaboration with Barrie Hibbert and with Moody’s Analytics own Economic Analysis division to allow clients to run automated solutions, including nested stochastic scenarios leading to faster delivery and more accurate management information.

RiskFrontier: Advanced correlation-based credit risk models
RiskFrontier calculates Economic Capital and allows for granular analysis of a portfolio’s risk drivers. This graph shows two portfolios’ loss distributions side by side.
LossCalc: Powerful LGD Predictor for Assessing and Managing Risk
LossCalc™ is a model of loss given default (LGD) that incorporates both static and forward-looking dynamic drivers of recovery, ranging from firm-specific variables to broader geography and industry factors.

Through-the-Cycle EDF
Moody’s Analytics Through-the-Cycle EDFs are quantitatively derived credit risk estimates, they combine a high degree of stability over-the-cycle with a minimal loss of forward looking default prediction power. This is particularly useful in calculating the SCR level as required by the Solvency II regulation.

Commercial Mortgage Metrics
CMM (Commercial Mortgage Metrics) is the leading US Commercial Real Estate (CRE) analytical model for assessing default and recovery rates in commercial mortgage loan portfolios. CMM can be used as an input to the portfolio credit risk and regulatory capital calculations. CMM analytics also empower insurers to perform stress testing to determine loss previsions, yield degradation and risk adjusted yield as well as to understand future trends by calculating forward looking distributions.