Solvency II

The Data Quality Management - Challenges of Solvency II   
The average insurance company is unprepared for the data quality requirements of the new regulation. This presentation goes through the challenges insurances companies face: the actuarial function judgment for the calculation of best estimates, the accumulation of non-essential data for many decades, and the duplication of data and inconsistency of values. Data Quality Assessment is the core requirement for Insurance companies to face those challenges.

Author: Massimiliano Neri 
Date: November 17, 2011

An Introduction to Through-the-Cycle Public Firm EDF Credit Measures  
David Munves presented these slides at the Moody’s Analytics Munich Market Signals Event, 27 Sept 2011. The document covers the distinction between Point-in-Time Risk Measures and Through-the-Cycle Risk Measures, followed with a technical description of the Through-the-Cycle EDF model methodology, and a conclusion on the degree of stability achieved of forward looking default prediction power.

Author: David Munves 
Date: September 27, 2011

More Detailed, More Frequent and More Transparent Reporting – Implementing the Pillar 3 Requirements of Solvency II  
The Solvency II Directive is imposing huge demands on insurers in terms of the market and regulatory disclosures they need to make. Yet, for many insurers, meeting the reporting requirements has slipped down the agenda, focusing most of their attention on managing the Directive’s capital requirements and risk governance aspects. This paper provides an overview of the current Pillar 3 requirements alongside best practices insurance companies should consider when implementing Pillar 3 requirements.  

Author: Massimiliano Neri
Date: August 1, 2011