Posts Tagged ‘Models’



August 24th, 2016

Emerging Risks: Modeling Considerations Moving Forward: Part II

Posted at 1:00 AM ET

william-garland-sm1Will Garland, Managing Director

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Clearly, we are entering a new phase of technological advances that will bring new exposures that were not present in any historical database. For example, two areas where technology risk has rapidly become apparent are nanotechnology and drones. Chemical technology breakthroughs from nanotechnology involved in making stronger and enhanced materials may have unknown liability outcomes many, many years in the future. Drones and other technological advances remove human input into the machine’s operations.

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August 23rd, 2016

Emerging Risks: Modeling Considerations Moving Forward: Part I

Posted at 1:00 AM ET

william-garland-smWill 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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August 17th, 2016

GC Capital Ideas Top Stories: Cyber Risk, First Half, 2016

Posted at 1:00 AM ET

Here we review the most popular stories on the subject of cyber through the first half of 2016.

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August 3rd, 2016

Utilizing Data and Models to Understand Emerging Risks

Posted at 1:00 AM ET

Here we review GC Capital Ideas posts on how the accumulation of data and utilization of models will help (re)insurers understand the implications of emerging risks.

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July 7th, 2016

Changes to Best’s Capital Adequacy Ratio (BCAR)

Posted at 1:00 AM ET

Here we review recent GC Capital Ideas posts on developing changes to Best’s Capital Adequacy Ratio (BCAR) and the potential impact of those changes on (re)insurers.

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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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