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Considers legislation to authorize the Housing and Home Finance Agency to issue indemnity contracts to protect persons against real or personal property losses caused by floods.
This book considers the effectiveness of insurance coverage for low-probability, high-consequence events such as natural disastersâ€"and how insurance programs can successfully be used with other policy tools, such as building codes and standards, to encourage effective loss reduction measures. The authors discuss the reasons for the dramatic increase in insured losses from natural disasters since 1989 and the concern that insurers have about their ability to provide coverage against more such events in the future. It addresses why there has been an increasing demand for hazards insurance, what types of coverage private insurers are willing to offer, and the role of reinsurance and private-/public-sector initiatives at the state and federal levels for providing protection to victims of natural disasters. Detailed case studies of the challenges facing Florida in the wake of Hurricane Andrew in 1992 and California following the Northridge earthquake in 1994 reveal the challenges facing the insurance industry as well as other concerned stakeholders. The National Flood Insurance Program illustrates how a public-/private-sector partnership can mitigate damages and provide financial protection to victims. The book identifies new initiatives for reducing future losses and providing funds for recovery through cooperation by the relevant parties.
United States. Congress. House. Committee on Banking, Finance, and Urban Affairs. Subcommittee on Consumer Credit and Insurance
Author : United States. Congress. House. Committee on Banking, Finance, and Urban Affairs. Subcommittee on Consumer Credit and Insurance Publisher : Page : 532 pages File Size : 11,69 MB Release : 1994 Category : Business & Economics ISBN :
The frequency and intensity of natural disasters is on the rise. Insurance, an often confusing and unpopular tool, will be critical to successfully emerging from the effects of these crises. Understanding Disaster Insurance provides an accessible introduction to the complexities--and exciting possibilities--of risk transfer markets in the U.S. and around the world. Carolyn Kousky, a leading researcher on disaster risk and insurance, explains how traditional insurance markets came to be structured and why they fall short in meeting the needs of a world coping with climate change. She then offers realistic, yet hopeful, examples of new approaches. Understanding Disaster Insurance is a useful guidebook for policymakers, innovators, students, and other decision makers working to secure a resilient future--and anyone affected by wind, fire, rain, or flood.
1. THE PROBLEM OF CATASTROPHE RISK The risk of large losses from natural disasters in the U.S. has significantly increased in recent years, straining private insurance markets and creating troublesome problems for disaster-prone areas. The threat of mega-catastrophes resulting from intense hurricanes or earthquakes striking major population centers has dramatically altered the insurance environment. Estimates of probable maximum losses (PMLs) to insurers from a mega catastrophe striking the U.S. range up to $100 billion depending on the location and intensity of the event (Applied Insurance Research, 2001).1 A severe disaster could have a significant financial impact on the industry (Cummins, Doherty, and Lo, 2002; Insurance Services Office, 1996a). Estimates of industry gross losses from the terrorist attack on September 11, 2001 range from $30 billion to $50 billion, and the attack's effect on insurance markets underscores the need to understand the dynamics of the supply of and the demand for insurance against extreme events, including natural disasters. Increased catastrophe risk poses difficult challenges for insurers, reinsurers, property owners and public officials (Kleindorfer and Kunreuther, 1999). The fundamental dilemma concerns insurers' ability to handle low-probability, high-consequence (LPHC) events, which generates a host of interrelated issues with respect to how the risk of such events are 1 These probable maximum loss (PML) estimates are based on a SOD-year "return" period.