INSURANCE RISK ASSESSMENT IN THE CARIBBEAN

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Presentation transcript:

INSURANCE RISK ASSESSMENT IN THE CARIBBEAN Robin G. Williams Associate Professor National University, San Diego, USA

The purpose of this talk is provoke discussion The purpose of this talk is provoke discussion. I am not an expert on this topic but I am interested in it as it is very important for the Caribbean.

HYPOTHESIS Nothing happens in our world unless it can be insured!

THE EXAMPLE OF MONTSERRAT Since volcanic activity started in 1995, it has been extremely difficult for property/businesses to obtain insurance cover for losses incurred because of volcanic activity. Borrowing from banks is inhibited and economic growth is slowed.

INSURANCE AND RE-INSURANCE Insurance companies are backed by just a few re-insurance companies These are multi-billion dollar companies Examples are: Munich Re Swiss Re American Re

MY EXPERIENCE WITH RE-INSURANCE (1) 1995: Gave presentation at Munich Re in Munich Large team of environmental specialists (Gerhard Berz) Billions of dollars in losses at stake Must assess as accurately as possible the risk

MY EXPERIENCE WITH RE-INSURANCE (2) 2005: Visit from Swiss Re in Puerto Rico I was the State Climatologist for PR Half insurance risk for Caribbean in PR Knowledge basic, data sparse Hence cannot assess risk accurately Swiss Re errs on the side of caution

THIS IS A COMMON PROBLEM FOR THE CARIBBEAN. HOW DO WE ADDRESS IT? Create a Caribbean-wide institute Difficult because of political nature of the Caribbean Maybe get help from international bodies and re-insurance companies

THERE ARE MODELS Bermuda – BBS and Bermuda Re (?) Florida – International Hurricane Research Center, Florida International University

Hurricane Research Center Florida International University HURRICANES & INSURANCE Stephen P. Leatherman, Director International Hurricane Research Center Florida International University

MAJOR HURRICANES 5 YEAR AVERAGE

Hurricane Loss Projection Model The goal of the model is to assess hurricane risk, and to project annual expected insured residential losses in Florida. These losses can be estimated for both individual property and for entire portfolios of residential properties, and by zip code or construction type. The model can also project insured losses for user defined scenarios and historical events. Funded by the FL Dept of Financial Services/ Office of Insurance Regulation

The model can be used to: Provide assistance in the residential rate making process. Make Cat models affordable for smaller firms. Provide a state of the art transparent wind hazard, vulnerability and insured loss models. Provide a check on the assumptions, analysis and results generated by the proprietary models. Help evaluate reinsurance risk for, e.g., the Florida CAT Fund. Assess the efficacy of disaster mitigation strategies.

HYPOTHESIS With more accurate, up-to-date, and more re-insurance friendly data, economic investment conditions will improve because risk will be assessed more accurately.

DISCUSSION