Posts Tagged ‘EQECAT’



November 24th, 2014

Modeling Terrorism

Posted at 1:00 AM ET

Modeling methodologies for terrorism have been continually refined and updated since the three major modeling companies - AIR Worldwide (AIR), EQECAT and Risk Management Solutions (RMS) - released their first terrorism models in 2002. Quantifying the economic, insured and human losses from a terrorist attack continues to pose major challenges for (re)insurers and alternative capacity providers. There are three main techniques to model terrorism risk:

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September 22nd, 2014

Terrorism Solutions: Modeling

Posted at 1:00 AM ET

To support the process of managing and underwriting the terrorism peril, (re)insurers utilize data management and modeling tools to analyze the risk. The dynamic nature of terrorism and the uncertainty in identifying targets and the frequency of attacks requires a specialized approach to manage the risk.

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June 10th, 2014

Enhancing Catastrophe Modeling In the Middle East and North Africa

Posted at 1:00 AM ET

victoria-jenkinsVictoria Jenkins, Managing Director

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The Middle East and North Africa (MENA) region is acknowledged to be a key growth area for (re)insurance. Insurance penetration is rapidly increasing but still has some way to go to reach comparable levels with Europe or the United States. In the period 2003-2012, most countries in the region achieved triple-digit percentage increases in premium volume, with some exceeding 600 percent growth (source: Swiss Re Sigma).

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January 15th, 2013

Terrorism Solutions: Modeling

Posted at 1:00 AM ET

David Flandro, Global Head of Business Intelligence, Julian Alovisi, Assistant Vice President, Lucy Dalimonte, Senior Vice President, Ellen Rieder, Managing Director and Emma Karhan, Senior Vice President
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To support the process of managing and underwriting the terrorism peril, (re)insurers are increasingly using data management and modeling tools to analyze the risk. The dynamic nature of terrorism and the uncertainty in identifying the targets and frequency of attacks requires a specialized approach to manage the risk.

Continue reading…

October 31st, 2012

Update: Sandy

Posted at 4:00 PM ET

sandy-6-smallAs always, our immediate thoughts and concerns are with those directly affected by Sandy, both in North America, and across the Caribbean. Many areas along the East Coast, and the Caribbean, bear signs of unspeakable consequences from this historic storm. The death toll in North America is now at least 55 (including one in Canada), in addition to the 67 who died in the Caribbean last week.

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May 28th, 2012

Top Modeling Stories in GC Capital Ideas: First Half 2012

Posted at 1:00 AM ET

Here we highlight the top stories on modeling that have appeared in GC Capital Ideas in the first six months of 2012.

1. Spatial and Temporal Earthquake Clustering - Earthquake Aftershocks, EQECAT Perspective: Forecast Models: Earthquake sequences appear to be globally continuous over time. This suggests that seismic sources or faults may be part of a critically-stressed, self-organized network where earthquakes occur as a chain reaction with respect to one another. Earthquakes trigger other earthquakes as stresses move around in the fault network.

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2. Spatial and Temporal Earthquake Clustering - Earthquake Aftershocks, EQECAT Perspective: Probabilistic Hazard Analysis: The purpose of probabilistic seismic hazard analysis (PSHA) is to quantify the rate (or probability) of exceeding various ground-motion levels at a site or sites, given all possible earthquakes. PSHA involves the following three steps: Characterization of the seismic-hazard source model(s); Specification of the ground motion model(s) or attenuation relationship(s); and Probabilistic calculation.

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3. Spatial and Temporal Earthquake Clustering - Earthquake Aftershocks: EQECAT Perspective: Introduction: EQECAT recently released a white paper examining earthquake clustering in the context of seismic hazard and loss assessment. The paper, Spatial and Temporal Earthquake Clustering: Part 2 - Earthquake Aftershocks, is EQECAT’s second in a three-part series about spatial and temporal earthquake clustering.

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4. Calling All General Insurance Reserving Actuaries: Does the Bootstrap Model “Work”? Guy Carpenter’s extensive back-testing of reserve distributions created using the popular paid chain ladder bootstrap method has shown that these distributions materially under-estimate reserve risk.

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April 26th, 2012

Spatial and Temporal Earthquake Clustering – Earthquake Aftershocks, EQECAT Perspective: Forecast Models

Posted at 1:00 AM ET

Earthquake Forecast Models

Earthquake sequences appear to be globally continuous over time. This suggests that seismic sources or faults may be part of a critically-stressed, self-organized network where earthquakes occur as a chain reaction with respect to one another. Earthquakes trigger other earthquakes as stresses move around in the fault network.

Continue reading…

April 25th, 2012

Spatial and Temporal Earthquake Clustering – Earthquake Aftershocks, EQECAT Perspective: Probabilistic Hazard Analysis

Posted at 1:00 AM ET

Probabilistic Earthquake Hazard Analysis and Aftershocks

The purpose of probabilistic seismic hazard analysis (PSHA) is to quantify the rate (or probability) of exceeding various ground-motion levels at a site or sites, given all possible earthquakes. PSHA involves the following three steps:

  • Characterization of the seismic-hazard source model(s)
  • Specification of the ground motion model(s) or attenuation relationship(s)
  • Probabilistic calculation

Continue reading…

April 24th, 2012

Spatial and Temporal Earthquake Clustering - Earthquake Aftershocks: EQECAT Perspective: Introduction

Posted at 1:00 AM ET

EQECAT recently released a white paper examining earthquake clustering in the context of seismic hazard and loss assessment (1). The paper, Spatial and Temporal Earthquake Clustering: Part 2 - Earthquake Aftershocks, is EQECAT’s second in a three-part series about spatial and temporal earthquake clustering. This briefing presents a summary of the paper for general interest and should not be viewed as an endorsement of EQECAT’s views.

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