No 501 1000
Download No 501 1000 full books in PDF, epub, and Kindle. Read online free No 501 1000 ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Statistics of Electric Utilities in the United States ...
Author | : United States. Federal Power Commission |
Publisher | : |
Total Pages | : 460 |
Release | : 1945 |
Genre | : Electric industries |
ISBN | : |
Special Bulletin
Author | : Michigan State University. Agricultural Experiment Station |
Publisher | : |
Total Pages | : 1018 |
Release | : 1928 |
Genre | : Agriculture |
ISBN | : |
Annual Report of the Secretary for Agriculture, Nova Scotia
Author | : Nova Scotia. Dept. of Agriculture |
Publisher | : |
Total Pages | : 238 |
Release | : 1925 |
Genre | : |
ISBN | : |
Committee Prints
Author | : United States. Congress. Senate. Committee on Labor and Public Welfare |
Publisher | : |
Total Pages | : 1128 |
Release | : 1960 |
Genre | : |
ISBN | : |
Tabular Summary of the Third Follow-up Questionnaire Data
Author | : Research Triangle Institute. Center for Educational Research and Evaluation |
Publisher | : |
Total Pages | : 500 |
Release | : 1978 |
Genre | : Educational surveys |
ISBN | : |
Catastrophe Insurance
Author | : Martin F. Grace |
Publisher | : Springer Science & Business Media |
Total Pages | : 150 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 1441992685 |
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.