All Cat Modelling articles – Page 7
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RMS: Climate change will amplify flood exposures
By 2070s 150 million people will be at risk; exposed assets in Miami alone will be over $3.5trn
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Glen Daraskevich joins Karen Clarke & Company
Daraskevich joins as senior vice president to head up consulting group
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Asia Capital Re signs up with RMS
Models will help improve ACR's understanding of catastrophe risk in the Pan-Asian region
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Solvency II clears another hurdle
Third quantitative impact study was a “crucial exercise” in testing the design of Solvency II
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RMS warns of 7 metre storm surge
Super cyclone Sidr could impact 2 million people when it hits Bangladesh
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Guy Carp launches Czech Republic flood model
Fully probabilistic flood model covers major rivers and populated areas
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Bangladesh braces for super cyclone
Category 4 storm SIDR will make landfall in the next 12 hours
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Industry Matters
Sink or swim
Finding reliable flood data remains a major obstacle to modelling, says Dr Justin Butler.
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GR Focus
Back to the future
Hurricane Katrina’s floating casinos were an expensive lesson in how poor data quality can cost insurers millions of dollars. Two years on, Matthew Grant looks at what has improved.
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Allianz launches cat bonds for European windstorm
S&P rates the first issuances under the newly-established €1bn Blue Fin programme
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Karen Clark to audit cat risk processes
Independent reviews can also be used by rating agencies and investors to differentiate the quality of companies’ processes
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Earthquake could hit Japanese industries hard
EQECAT reveals that Japanese industries are at high risk from financial losses in the event of an earthquake
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Bahamas brace for late-season storm
Tropical storm Noel is gaining in strength as it bears down on the Bahamas
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Analysis
PCI: Don’t panic about climate change
"Prepare don't panic" advise speakers at the PCI conference
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Analysis
Wildfires break all records
Future losses will grow if demographic trends continue, insurers warned
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Moody’s: Wildfires serve as a warning
Recent wildfires could be the costliest in history; insurers could face more severe events in the future