Posts Tagged ‘analytics’



June 15th, 2017

Analytics: Fueling Risk-Informed Decisions: Part III: Strategic and Risk Capital Management

Posted at 1:00 AM ET

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Tim Gardner, President, North America

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Insurers who rely on strategic risk and capital management analytics to optimize their return on capital require a proactive capital management strategy that is in line with Own Risk and Solvency Assessment (ORSA), rating agency objectives and/or management’s internal capital adequacy benchmarks. To support this objective, a wide variety of tools and solutions are available to help measure capital adequacy - from deterministic models to licensable enterprise-level dynamic financial modeling solutions that advance a company’s ability to measure risk, profit and capital to optimize returns.

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June 14th, 2017

Analytics: Fueling Risk-Informed Decisions: Part II: Portfolio Analytics

Posted at 1:00 AM ET

tim_059_headshot

Tim Gardner, President, North America

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With robust portfolio analytics, including advanced actuarial and catastrophic risk modeling, insurers are able to manage portfolio risk with confidence. Notable new portfolio-based models are being used for emerging areas such as casualty catastrophe and cyber risk assessment. Significant advances in sub peril modeling, such as for flood, have also transformed previously non-modeled perils into modeled perils, greatly improving knowledge and underwriting decisions in many regions.

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June 13th, 2017

Analytics: Fueling Risk-Informed Decisions: Part I

Posted at 1:00 AM ET

tim_059_headshot

Tim Gardner, President, North America

Contact

Today’s rapidly changing global environment presents insurers with many challenges and opportunities as capital management and risk transfer techniques evolve at an unprecedented pace. Stakeholders, regulators and ratings agencies are deepening their focus on risk management practices, and revolutionary developments in technology, including the Internet of Things and hyper-connectivity, are driving companies to adapt to the challenges that senior management faces to support risk management decisions material to their business.

Continue reading…

May 16th, 2017

Public Sector Risk Financing Perspectives in Asia Pacific: Part II: Highlights of Recent Initiatives

Posted at 1:00 AM ET

graham-jones-smGraham Jones, Senior Vice President

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In July 2016, the China Residential Earthquake Insurance Pool (CREIP) was jointly established by the China Insurance Regulatory Commission (CIRC) and Ministry of Finance. In development since 2014, the scheme consists of 45 insurers distributing policies with basic limits of USD 7,500 and USD 3,000 for urban and rural residents, respectively. Coverage up to a maximum limit of USD 150,000 is negotiable. The claims process has been simplified with payouts equaling zero, 50 or 100 percent of the policy limit based on five damage levels.

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April 17th, 2017

Analytics: Fueling Risk-Informed Decisions: Part III: Strategic and Risk Capital Management

Posted at 1:00 AM ET

tim_059_headshot

Tim Gardner, President, North America

Contact

Insurers who rely on strategic risk and capital management analytics to optimize their return on capital require a proactive capital management strategy that is in line with Own Risk and Solvency Assessment (ORSA), rating agency objectives and/or management’s internal capital adequacy benchmarks. To support this objective, a wide variety of tools and solutions are available to help measure capital adequacy - from deterministic models to licensable enterprise-level dynamic financial modeling solutions that advance a company’s ability to measure risk, profit and capital to optimize returns.

Continue reading…

April 13th, 2017

Analytics: Fueling Risk-Informed Decisions: Part II: Portfolio Analytics

Posted at 1:00 AM ET

tim_059_headshot

Tim Gardner, President, North America

Contact

With robust portfolio analytics, including advanced actuarial and catastrophic risk modeling, insurers are able to manage portfolio risk with confidence. Notable new portfolio-based models are being used for emerging areas such as casualty catastrophe and cyber risk assessment. Significant advances in sub peril modeling, such as for flood, have also transformed previously non-modeled perils into modeled perils, greatly improving knowledge and underwriting decisions in many regions.

Continue reading…

April 12th, 2017

Analytics: Fueling Risk-Informed Decisions: Part I

Posted at 1:00 AM ET

tim_059_headshot
Tim Gardner, President, North America

Contact

Today’s rapidly changing global environment presents insurers with many challenges and opportunities as capital management and risk transfer techniques evolve at an unprecedented pace. Stakeholders, regulators and ratings agencies are deepening their focus on risk management practices, and revolutionary developments in technology, including the Internet of Things and hyper-connectivity, are driving companies to adapt to the challenges that senior management faces to support risk management decisions material to their business.

Continue reading…

October 27th, 2016

Analytics: Fueling Risk-Informed Decisions

Posted at 1:00 AM ET

tim_059_headshot Tim Gardner, CEO of U.S. Operations

Contact

Today’s rapidly changing global environment presents insurers with many challenges and opportunities as capital management and risk transfer techniques evolve at an unprecedented pace. Stakeholders, regulators and ratings agencies are deepening their focus on risk management practices, and revolutionary developments in technology, including the Internet of Things and hyper-connectivity, are driving companies to adapt to the challenges that senior management faces to support risk management decisions material to their business.

Continue reading…

August 16th, 2016

Advancing Technologies Raise Issues for (Re)insurers

Posted at 1:00 AM ET

Here we review GC Capital Ideas posts on advancing technologies that are creating new opportunities and new risks for (re)insurers.

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August 1st, 2016

New Economics Are Creating New Medicine, Part II

Posted at 1:00 AM ET

Predictive analytics or predictive medicine uses patient-specific data and enables a more customized, precise approach for patient-specific treatment. With the insight this provides, biotechnology, pharmaceutical and medical device companies can partner to provide better care, improve compliance, lower readmission rates and drive improved outcomes. This can lower unnecessary and ineffective treatments and decrease the overall cost of care. However, taken to an extreme scenario, life science companies could invest in developing much more specific treatments for very small cohorts of affected patients. These focused therapies could be extremely expensive and would be wildly impractical without the intersection of new technology and new economics.

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