LONDON–(BUSINESS WIRE)– Moody’s Analytics, een wereldwijde aanbieder van financiële informatie, heeft vandaag aangekondigd dat haar softwaretoepassing is geselecteerd door het Deense pensioenfonds, Lægernes Pension. Lægernes Pension zal gebruik maken van Moody’s Analytics Scenario Generator voor het beoordelen van verplichtingen, stresstests en scenarioanalyse van Solvency II.

De Moody’s Analytics Scenario Generator is een bekroond simulatie framework dat door klanten wordt ingezet voor actuariële rapportage, risico- en kapitaalberekening en -analyse, investeringen en ALM-analyse.

Lægernes Pension zal ook gebruik maken van de Moody’s Analytics Scenario Generator Automation Module, waardoor de organisatie haar modelleerprocessen kan stroomlijnen. Door het instellen, uitvoeren en valideren van modellen te automatiseren, kunnen zowel de tijd als de kosten voor de generatie van scenario’s worden verlaagd.

Lægernes Pension Selects Moody’s Analytics for Solvency II Liability Valuation and Scenario Analysis

LONDON–(BUSINESS WIRE)– Moody’s Analytics, a global provider of financial intelligence, announced today that its software has been selected by Danish pension fund, Lægernes Pension. Lægernes Pension will be using the Moody’s Analytics Scenario Generator for Solvency II liability valuation, stress testing, and scenario analysis.

The Moody’s Analytics Scenario Generator is an award-winning simulation framework clients deploy for actuarial reporting, risk and capital calculation and analysis, and investment and ALM analysis.

Lægernes Pension will also take advantage of the Moody’s Analytics Scenario Generator Automation Module, allowing the organization to streamline its modeling processes. By automating model set-up, execution, and validation, both scenario production timelines and costs can be reduced.

“Amidst economic uncertainty, insurers globally are looking for ways to manage their risk effectively, and to understand the sensitivity of their liabilities to different risk factors,” said Colin Holmes, Managing Director at Moody’s Analytics. “We are delighted that Lægernes Pension has selected our Scenario Generator and automation software to inform their risk-based decision-making and strengthen their risk management processes.”

“The Moody’s Analytics Scenario Generator, in conjunction with the automation functionality, combines the software and support required to undertake a range of asset-liability modeling activities including Solvency II liability valuation,” said Ulrik Eltang Høgh, Chief Risk Officer at Lægernes Pension. “More broadly, the Moody’s Analytics solution will form an integral part of our overall risk management framework.”

Earlier this year, Moody’s Analytics won five categories at the 2020 InsuranceERM Awards, including Best Economic Scenario Generator Software of the Year.

Learn more about the Moody’s Analytics Scenario Generator.

About Moody’s Analytics

Moody’s Analytics provides financial intelligence and analytical tools to help business leaders make better, faster decisions. Our deep risk expertise, expansive information resources, and innovative application of technology help our clients confidently navigate an evolving marketplace. We are known for our industry-leading and award-winning solutions, made up of research, data, software, and professional services, assembled to deliver a seamless customer experience. We create confidence in thousands of organizations worldwide, with our commitment to excellence, open mindset approach, and focus on meeting customer needs. For more information about Moody’s Analytics, visit our website or connect with us on Twitter or LinkedIn.

Moody’s Analytics, Inc. is a subsidiary of Moody’s Corporation (NYSE: MCO). Moody’s Corporation reported revenue of $4.8 billion in 2019, employs approximately 11,300 people worldwide and maintains a presence in 40 countries.

About Lægernes Pension

Lægernes Pension is a Danish pension fund that manages labor market pensions for 46,000 Danish Medical Doctors. On their behalf Lægernes Pension invest approximately DKK 100 billion.

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