Mutual insurance companies of all sizes currently face challenging market conditions where success requires not only focused distribution and operational excellence, but also access to increasingly sophisticated analytics services and products. How these firms use their resources and advanced technology to respond to these issues will separate market outperformers from underperformers.
Posts Tagged ‘Capital Models’
Micah Woolstenhulme, Manager, ERM Services, Strategic Advisory
The Insurance Risk Benchmarks Research is an ongoing project sponsored by Guy Carpenter & Company and Oliver Wyman to assist property/casualty (P&C) companies with profiling enterprise risk. Articulating an individual company’s risk profile requires assessment of both absolute and relative financial uncertainties. The absolute uncertainties can ultimately be codified in an economic capital model, but robust review of relative historical performance invariably improves the codification of certain systemic risks.
Guy Carpenter and Oliver Wyman, both wholly owned subsidiaries of Marsh & McLennan Companies, released the 2014 Insurance Risk Benchmarks Research: Annual Statistical Review, the first in a two-part series detailing research executed in collaboration with Columbia University. This, the fourth annual report, provides detailed analysis and insight on the property/casualty industry to help insurers strategically evaluate and benchmark inputs to economic capital models.
A.M. Best’s New Analytics Will Broaden and Improve P&C Industry Capital Modeling and Benchmarking of Tolerances
Jack Snyder, Managing Director, Business Development and Head of the Rating Agency Practice, Strategic Advisory; Eric Simpson, Managing Director in the Rating Agency Practice and Mark Murray, Senior Vice President in the Rating Agency Practice
A.M. Best’s rating analytics continue to evolve and the pace of change is accelerating as the industry embraces more analytical tools, emerging best practices, and peer benchmarking.
Capital management using risk-based capital models and capital allocation is a central component of risk management practices. We have investigated this topic as a new chapter for our 2013 ERM Benchmark update. In this context, Table 3 shows the portion of companies that publish concrete data on their excess capital - the amount of capital retained in excess of a certain target amount. Table 3 also shows both the portion of companies using risk-based capital models in the risk management process and the portion giving some indication of the methodology of the capital allocation process.
The National Association of Insurance Commissioners’ (NAIC’s) Own Risk and Solvency Assessment (ORSA) goes into effect on January 1, 2015. Currently, many (re)insurers are in the process of developing and implementing their ORSA plans and approaches to the new regulation. They may be challenged over how much work has yet to be done and how best to do it. However, while some of the challenges are understandable, through “Business Management Integration” (BMI) there is an easier and more reliable way to approach this new regulation.