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Data Scoring: Guiding Efforts in Data Quality Enhancement

August 20, 2010

AIR’s George Davis and Stacey Gotham describe how scoring, whether of individual locations or whole portfolios, provides quick insight into the uncertainty in modeled losses.

Earthquake Risk in Chile after February 2010

August 16, 2010

Six months after the magnitude 8.8 Concepción earthquake caused an estimated USD $5.5-8.6 billion of insured losses in Chile, Dr. Bingming Shen-Tu, Principal Scientist, Seismology, and Dr. Mehrdad Mahdyiar, Director of Earthquake Hazard for AIR’s Research and Modeling Group examine how the February event may have affected earthquake risk in this volatile area.

The Role of Wind Duration in Damage Estimation

August 16, 2010

AIR Principal Engineer Dr. Vineet Jain looks at the evidence of the effects of wind duration on property damage, and explains how AIR models it.

Wind Profiles in Parametric Hurricane Models

July 19, 2010

The goal of any model is to approximate reality as closely as possible. On recently published wind profile formulation offers added versatility, which means that it can well represent not just the "typical" hurricane, but atypical ones as well.

Sensitivity Analyses: Capturing the Most Complete View of Risk

July 19, 2010

Part and parcel of understanding catastrophe modeling results—and hence a company’s catastrophe risk profile—is an understanding of the uncertainties and sensitivities associated with the modeling process. Because uncertainty is a factor in both the development of catastrophe models and in the data input by model users, companies that want to fully comprehend the financial impact of catastrophes on their books of business should test the sensitivity of different inputs and assumptions.

The Role of Dams in Flood Risk Reduction: The Howard Hanson Dam and the Green River Valley

July 18, 2010

AIR recently completed a study to model flood risk on the Lower Green River Valley in light of new operational rules on the Howard Hanson Dam. Using the hydraulic model that will be implemented in the AIR U.S. Flood Model currently under development, Dr. Yizhong Qu (AIR Senior Scientist, Hydrology) and Dr. Abebe Jemberie (Research Engineer) assess the potential flood extent and damage to properties.

Preview of the 2010 Atlantic Hurricane Season

June 16, 2010

June 1 marked the official start of the Atlantic hurricane season. In this article, Dr. Peter Dailey, Assistant Vice President & Director, Atmospheric Science, discusses the factors that influence Atlantic tropical cyclone activity and takes a look at what the forecasters are saying.

The H1N1 Influenza Pandemic: Implications for Catastrophe Modeling

June 15, 2010

In this article, AIR Principal Research Analyst Nita Madhav describes the course of the 2009 H1N1 pandemic to date; explains why, according to epidemiologists’ best understanding, the pandemic has been less severe than expected; and presents several “what if” scenarios to explore outcomes had the pandemic had different characteristics.

Minimizing Basis Risk for Cat-In-A-Box Parametric Earthquake Catastrophe Bonds

June 15, 2010

AIR Worldwide has long dominanted the market for catastrophe risk modeling and analytical services related to both the issuance and portfolio management of insurance-linked securities. In this article, AIR principal engineer Dr. Guillermo Franco, provides insight into new techniques for reducing basis risk associated with parametric cat bonds. His research will be published in the November issue of the peer-reviewed journal "Earthquake Spectra."

AIR Brief: Implications of the Gulf Oil Spill for the Upcoming Hurricane Season

May 27, 2010

North Atlantic hurricane season officially begins on June 1, and with seas 2 to 3 degrees Fahrenheit warmer than normal in the northern Gulf of Mexico, the possibility of a tropical storm or hurricane on top of this oil spill becomes very real. Here we address the possible interactions between oil at sea and hurricanes, as well as indications of what this might mean to wildlife, ecosystems, business, and insurance interests.

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