Brochures | Model
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pdf - 12042 Kb
July 25, 2013
This brochure provides an introduction to the AIR Inland Flood Model for Great Britain. Covering both on- and off-floodplain risk and leveraging AIR’s experience with numerical weather prediction, this innovative model meets the risk management needs of companies pricing and underwriting this complex peril.
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Brochures | Model
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pdf - 1794 Kb
June 21, 2013
This brochure provides an overview of the AIR Tropical Cyclone Model for Hawaii, which captures the risk from tropical cyclone winds and implements a novel method for modeling simulated storm tracks. In addition, AIR engineers have developed wind damage functions for 71 different construction classes—including residential structures unique to Hawaii—that reflect regional construction practices, evolution of building codes, and historical tropical cyclone experience. The model also includes four Extreme Disaster Scenarios (EDS) to help companies prepare for large loss potential.
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White Papers
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pdf - 254 Kb
May 24, 2013
In the aftermath of Hurricane Katrina in 2005, AIR released The Coastline at Risk: Estimated Insured Value of Coastal Properties. That report was updated in 2008; comparing its results to the 2005 report showed that the insured value of properties in coastal areas of the United States had grown at a compound annual rate of about 7%. This report represents a further update in 2013 and shows that, in the last five years, growth in insured values in coastal regions fell from 7% to just under 4% per annum.
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White Papers
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pdf - 774 Kb
April 26, 2013
AIR previously introduced a ratemaking method that blends historical and modeled severe thunderstorm losses with non-cat losses to produce a composite estimate of total loss cost. This paper presents a framework to quantify the components of uncertainty in this approach.
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Brochures | Model
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pdf - 203 Kb
April 18, 2013
This document describes the key advantages of the AIR Tropical Cyclone Model for India, which is designed to meet the unique risk management needs of companies exposed to wind, precipitation-induced flood, and storm surge resulting from Indian tropical cyclones.
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Brochures | Model
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pdf - 532 Kb
April 12, 2013
This document describes the key advantages of the AIR U.S. Winter Storm Model, which is designed to meet the unique risk management needs of companies exposed to wind, precipitation, and temperature-induced damage resulting from U.S. winter storms.
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Brochures
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pdf - 1673 Kb
April 12, 2013
This document describes the key advantages of the AIR Tropical Cyclone Model for Central America, which is designed to meet the unique risk management needs of companies exposed to wind and precipitation-induced flood resulting from Central America tropical cyclones.
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White Papers
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pdf - 366 Kb
January 31, 2013
For the 2013 season, policy conditions for the China MPCI program have changed in several provinces. This will have an impact on the premium collected and on the risks that are being written in certain provinces. This paper describes the nature of those changes and the premium adjustment factors that AIR has developed to help companies analyze their 2013 China MPCI submissions using the AIR MPCI model for China.
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White Papers
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pdf - 543 Kb
December 19, 2012
For the 2013 insurance year, the Risk Management Agency of the USDA modified the premium rates for corn, cotton, rice, sorghum, soybean, and wheat crops. This will have an impact on premium volumes, county- and state-level gross loss ratios, post-SRA losses and loss ratios, thus directly affecting crop insurance companies’ fund allocation, risk management strategies and the placement of reinsurance protection. This paper describes the nature of these changes and their impact on the profitability of the crop insurance industry.
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White Papers
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pdf - 1410 Kb
September 04, 2008
At the midpoint of an already active 2008 hurricane season, AIR issued a white paper to provide an update on its original research on climatological influences on hurricane landfall risk. The white paper explains in detail AIR’s approach to creating a climate-conditioned view of U.S. hurricane risk and outlines a robust approach to catastrophe risk assessment using multiple views of the risk.
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