Posts Tagged ‘Franco (Guillermo)’



June 18th, 2015

Parametric CAT Derivatives to “Build Back Better”

Posted at 1:00 AM ET

franco_guillermo_bioGuillermo Franco, Head of Catastrophe Risk Research - EMEA

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Destruction caused by catastrophes often unfolds due to inadequate construction practices or land use planning. The likely response to these events is to strive to “build back better,” in part by addressing the mistakes of the past. Unfortunately, communities that embrace this challenge often find that they lack the financial resources for it and ambitious reconstruction projects lose momentum.

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June 8th, 2015

Guy Carpenter Launches CAT Risk Studio to Enhance Catastrophe Risk Analysis Capabilities

Posted at 11:00 PM ET

Guy Carpenter today launched CAT Risk Studio (CRS), a new division that will support Guy Carpenter’s Model Suitability Analysis (MSA)® initiative and will work closely with GC Securities* on the development of parametric products for catastrophe risk transfer. CRS establishes Guy Carpenter’s presence at the Marsh & McLennan Innovation Centre in Dublin, Ireland.

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March 17th, 2015

Parametric CAT Derivatives to “Build Back Better”

Posted at 1:00 AM ET

franco_guillermo_bioGuillermo Franco, Head of Catastrophe Risk Research - EMEA

Contact

Destruction caused by catastrophes often unfolds due to inadequate construction practices or land use planning. The likely response to these events is to strive to “build back better,” in part by addressing the mistakes of the past. Unfortunately, communities that embrace this challenge often find that they lack the financial resources for it and ambitious reconstruction projects lose momentum.

Continue reading…

June 24th, 2014

Uncertainty in Catastrophe Models: How Much of it is Reasonable?

Posted at 1:00 AM ET

franco_guillermo_bioGuillermo Franco, Head of Catastrophe Risk Research - EMEA

Contact

It seems reasonable to expect a degree of uncertainty in catastrophe model results. It is not uncommon, however, for models to produce results that differ by several factors. In order to assess how much of this uncertainty is epistemic, due to our incomplete knowledge of the physical phenomena involved, this existing uncertainty needs to be quantified.

Continue reading…

December 17th, 2013

Models on GC Capital Ideas

Posted at 1:00 AM ET

Here we highlight recent stories that have appeared on GC Capital Ideas on models and modeling

Guy Carpenter Insights on A.M. Best’s 2013 Updates: A.M. Best has recently issued several insurance ratings updates. Guy Carpenter has reviewed those updates and has key insights to help companies better understand their potential impact.

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Uncertainty in Catastrophe Models:  How Much of it is Reasonable?  It seems reasonable to expect a degree of uncertainty in catastrophe model results. It is not uncommon, however, for models to produce results that differ by several factors. In order to assess how much of this uncertainty is epistemic, due to our incomplete knowledge of the physical phenomena involved, this existing uncertainty needs to be quantified.

Read the article >>

 

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October 21st, 2013

Uncertainty in Catastrophe Models: How Much of it is Reasonable?

Posted at 1:00 AM ET

franco_guillermo_bioGuillermo Franco, Head of Catastrophe Risk Research - EMEA

Contact

It seems reasonable to expect a degree of uncertainty in catastrophe model results. It is not uncommon, however, for models to produce results that differ by several factors. In order to assess how much of this uncertainty is epistemic, due to our incomplete knowledge of the physical phenomena involved, this existing uncertainty needs to be quantified.

Continue reading…

October 22nd, 2012

Model Suitability Analysis (MSA)SM – Own Your View of Risk

Posted at 1:00 AM ET

franco_guillermo_thumbGuillermo Franco, Head of Catastrophe Risk Research - EMEA
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The quantification of catastrophe risk through the use of numerical models is accepted routine in our industry. Given the large impact of catastrophe risk on (re)insurance portfolios it is no surprise that the methodologies used for such quantifications are becoming the subject of more intense scrutiny by regulators and risk managers. Whether the motivation is internal, external or both, efforts are now in full swing towards acquiring a deeper understanding and a more sophisticated use of catastrophe risk model results - the path to “own your view of risk.”

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