Posts Tagged ‘Models’



June 7th, 2016

Reserving and Capital Setting: Sizing the Problem, Part III: Quantifying Emerging Risks; Expert Judgement

Posted at 1:00 AM ET

Data quality and availability should also be examined in depth. Because the risks are new, the data may not be captured correctly to power the model, which will lead to further uncertainty and may even preclude the use of a model altogether.

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June 6th, 2016

Reserving and Capital Setting: Sizing the Problem, Part II: Quantifying Emerging Risks; Models

Posted at 1:00 AM ET

Once the risks have been identified and ranked, the next step is how to quantify the likely impact on the financial results of the firm. The first and most obvious question is what available quantification techniques are available for each risk on the list. This will depend on the availability of relevant data and commercially produced models.

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May 23rd, 2016

Cyber Risk

Posted at 1:00 AM ET

ross_christopher-smChristopher Ross, Managing Director

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As businesses, both large and small, throughout all sectors of industry, become more and more reliant on technology to improve service efficiencies and functionalities, cyber risk has become one of the most pressing public topics addressed in corporate boardrooms and by governments across the globe. The corresponding awareness of a business’s susceptibility to a cyber-attack has grown along with a spate of high-profile attacks. Consequently, cyber risk is now an embedded feature of the global risk landscape, not only as a privacy/network liability, which is where much of the publicity has arisen, but also as a peril affecting traditional insurance lines. Therefore, preventative and post-event remediation are gaining importance as shareholders, regulators and rating agencies are increasingly focused on enterprise risk management activities for cyber risks.

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May 19th, 2016

Risk Analytic Tools, Part II

Posted at 1:00 AM ET

In addition to internal risk management, models are typically used in risk transfer negotiations. Both traditional and alternative risk markets require extensive analysis of portfolios when considering risk transfer. Sharing a portfolio’s standardized model output is critical to imparting the loss potential of a particular portfolio from which risk-capital can be unlocked to support the risk financing needs of a reinsurance buyer. Using technology is critical when partnering governments with the private sector. Whether partnering with developed or emerging economies, these tools bring together the risk knowledge and historical data of the public sector with risk management techniques of the insurance industry. The result is an enhanced understanding of risk that provides stability and attracts partners.

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May 18th, 2016

Risk Analytic Tools, Part I

Posted at 1:00 AM ET

Public sector-related data can be expansive, containing census data, property risk characteristics, historical loss information, risk rating matrices and natural hazard event scientific tracking. In order to facilitate packaging the sometimes unwieldy data in a way that is useful for risk decision making, utilizing outside resources to improve data transparency can be valuable. Public sector resources devoted to building tools that measure risks that are perceived as “uninsurable” can unlock private sector funding.

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May 17th, 2016

Guy Carpenter Forms Strategic Alliance to Develop Cyber Aggregation Model

Posted at 5:34 AM ET

Guy Carpenter & Company today announced the formation of a strategic alliance with Symantec Corporation, a global leader in cyber security, to create a cyber aggregation model. The model will include a comprehensive catalogue of cyber scenarios from which insurers can derive frequency and severity distributions to measure the potential financial impact of loss from both affirmative cyber coverages and “silent” all-risk policies where cyber is the peril, but no cyber exclusions exist.

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May 17th, 2016

Stochastic-based BCAR: Do You Understand Your “Capital-print”?

Posted at 1:00 AM ET

murray_mark-smMark Murray, Senior Vice President

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Technology and innovation continue to change the world around us, creating both opportunities and new challenges for the (re)insurance industry. Advances in risk quantification such as predictive analytics and capital modeling, to name a few, are changing the way we underwrite, price and manage risk. Similarly, technology is allowing A.M. Best (Best’s) to advance the analytics of risk supporting its assessment of balance sheet strength. Taking advantage of stochastic modeling technology, the evaluation of risk within Best’s capital model is undergoing a fairly substantial overhaul to broaden the lens used to analyze risk relative to capital. The technology allows efficient production of multiple capital metrics adjusted for a range of risk levels rather than risk represented by just one data point, providing deeper insights into balance sheet strength, risk profile and risk appetite. The benefit of this overhaul will be a rating that provides greater differentiation among companies, a more informed dialogue around capital versus risk and a more concise measure of “excess” or “deficient” capital. This new lens on capital will significantly influence the way (re)insurers view, measure, communicate and possibly even manage risk.

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May 5th, 2016

Managing and Modeling Emerging Risks

Posted at 1:00 AM ET

Here we review GC Capital Ideas posts on the challenges (re)insurers face managing and modeling casualty catastrophe risks.

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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

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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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April 28th, 2016

Emerging Risks: Modeling Considerations Moving Forward

Posted at 1:00 AM ET

william-garland-sm3Will Garland, Managing Director

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Technological progress is accelerating at a rapid pace and with it are the risks and opportunities that accompany those changes in many different segments of our economy:

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