Posts Tagged ‘Model Suitability Analysis’



March 20th, 2017

Emerging Practices in Risk Tolerances: Part I

Posted at 1:00 AM ET

brian-fischer-2014-hs-sm1Brian C. Fischer, Managing Director, GC Analytics®

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Insurers have long embraced the concept of risk tolerances. In some cases, the risk tolerances were expressly stated in a company’s enterprise risk management (ERM) policy document or in other cases exhibited in the course of normal operations.

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October 25th, 2016

Emerging Practices in Risk Tolerances

Posted at 1:00 AM ET

brian-fischer-2014-hs-sm1Brian C. Fischer, Managing Director, GC Analytics®

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Insurers have long embraced the concept of risk tolerances. In some cases, the risk tolerances were expressly stated in a company’s enterprise risk management (ERM) policy document or in other cases exhibited in the course of normal operations.

Continue reading…

October 23rd, 2016

A.M. Best’s More Transparent Ratings Criteria Provide Benefits to Insurers That Proactively “Own Their Ratings”

Posted at 1:00 AM ET

esimpson-hs-smEric Simpson, Managing Director

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Maintaining or improving ratings is a priority for most insurers. This can be challenging amid increasing demands for companies to “own their risk” (Own Risk and Solvency Assessment “ORSA”) in an environment of evolving rating agency requirements, including A.M. Best’s (Best) proposed ratings methodology and Stochastic-based Best’s Capital Adequacy Ratio (BCAR) criteria.

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September 26th, 2016

Increasing Confidence and Transparency in Your Catastrophe Risk Decisions: Part II

Posted at 1:48 AM ET

thomas_sherry_sm1james-burnett-herkes-sm1Sherry Thomas, Head of Catastrophe Management - Americas and James Burnett-Herkes, Senior Vice President

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Model Suitability Analysis (MSA)® consists of a set of standard tests and protocols that benchmark the models against independent reference data for hazard, event frequencies, damage functions, losses and historical experience. These datasets are created by independent and credible third-party research institutions that have expertise in the respective subjects. Rather than reinventing the wheel and developing models that already exist, the MSA approach evaluates the scientific underpinnings of existing models to establish confidence where warranted, and to identify areas of uncertainty. Guy Carpenter aggregates this information into our MSA Knowledge Base, and establishes standard protocols that are efficient to execute and test all models using the same standard procedure to achieve homogeneity and fairness in the process.

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September 22nd, 2016

Increasing Confidence and Transparency in Your Catastrophe Risk Decisions: Part I

Posted at 1:00 AM ET
thomas_sherry_sm1james-burnett-herkes-sm1Sherry Thomas, Head of Catastrophe Management - Americas and James Burnett-Herkes, Senior Vice President

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Could you afford to find that the portfolio you just acquired in North Carolina is more exposed to hurricane than previously assumed? What if next year’s Category 2 hurricane caused a loss in excess of 15 percent of your policyholders’ surplus?  How will the changes in the U.S. Geological Survey National Seismic Hazard Maps impact your exposure to earthquake risk in the central and eastern United States?

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September 13th, 2016

Guy Carpenter Sees Market Shift Towards Core Model Strategy - GC@MC Commentary

Posted at 3:00 AM ET

eagle_matthew-sm1Matthew Eagle, Head of International Analytics

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Industry Moves Away From Multi-Model Approach Given Current Market Conditions

Insurers and reinsurers are increasingly adopting a core model strategy based around a detailed assessment of its capabilities, instead of the multi-model or blended approach as investment in modeling capabilities comes under pressure, says Matthew Eagle, Head of GC Analytics® - International at Guy Carpenter.

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September 12th, 2016

(Re)Insurers Modifying Their Behavior Ahead Of A.M. Best’s New Ratings And BCAR Criteria - GC@MC Commentary

Posted at 3:00 AM ET

eric-simpson-smallmurray_mark-smEric Simpson, Managing Director and Mark Murray, Senior Vice President

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Industry Accelerates Risk Profile Analytics and Development of Their Own Risk Tolerances and Stochastic Capital Modeling

The launch of A.M. Best’s (Best) new ratings and Stochastic-based Best’s Capital Adequacy Ratio (BCAR) draft criteria became an inflection point for (re)insurers worldwide. The 2016 changes represent Best’s first major overhaul in over 20 years and are leading to a growing number of changes in market behaviors across the company size spectrum. (Re)insurers are assessing their risk and capital management positions in anticipation of the impacts of Best’s new requirements even though the changes will not result in massive differences in its published ratings nor likely become effective until later in 2017, according to Eric Simpson, Managing Director and Mark Murray, Senior Vice President of Guy Carpenter.

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May 4th, 2016

Increasing Confidence and Transparency in Your Catastrophe Risk Decisions

Posted at 1:00 AM ET

thomas_sherry_sm1james-burnett-herkes-sm1Sherry Thomas, Head of Catastrophe Management - Americas and James Burnett-Herkes, Senior Vice President

Contact

Could you afford to find that the portfolio you just acquired in North Carolina is more exposed to hurricane than previously assumed? What if next year’s Category 2 hurricane caused a loss in excess of 15 percent of your policyholders’ surplus?  How will the changes in the U.S. Geological Survey National Seismic Hazard Maps impact your exposure to earthquake risk in the central and eastern United States?

Continue reading…

February 11th, 2016

Meeting the Challenges: Catastrophe Modeling

Posted at 1:00 AM ET

In realizing the goal of profitable growth, (re)insurers require a trusted partner to help them manage a rapidly evolving regulatory and rating agency environment.

Catastrophe Modeling

The insurance industry relies to a large extent on catastrophe models to manage catastrophe risk. Regulators and rating agencies recognize this fact by asking companies to justify their modeling approach. The underlying objective of such rules is to encourage companies to have a robust and consistent process to use modeling tools responsibly.

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October 25th, 2015

Increasing Confidence and Transparency in Your Catastrophe Risk Decisions

Posted at 1:00 AM ET

thomas_sherry_sm1james-burnett-herkes-sm1Sherry Thomas, Head of Catastrophe Management - Americas and James Burnett-Herkes, Senior Vice President

Contact

Could you afford to find that the portfolio you just acquired in North Carolina is more exposed to hurricane than previously assumed? What if next year’s Category 2 hurricane caused a loss in excess of 15 percent of your policyholders’ surplus?  How will the changes in the U.S. Geological Survey National Seismic Hazard Maps impact your exposure to earthquake risk in the central and eastern United States?

Continue reading…