Public Hurricane Loss Projection Model
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1 Public Hurricane Loss Projection Model Shahid S. Hamid, Ph.D., CFA Associate Professor of Finance, and Director, Laboratory for Insurance, Economic and Financial Research International Hurricane Center Florida International University
2 Project Funding and Timeline The project is currently funded for $2.55 million by the Florida Department of Insurance. Project started in Summer of 2001 and is expected to be completed by May However, the model will need to be maintained, updated and extended and will require annual funding in the future
3 Goal of the Project The goal of the project is to develop and maintain a computer model to assess hurricane risk, and to project annual expected insured residential losses for specific sites, zip codes, counties and regions in Florida. These losses can be estimated for both individual property and for entire portfolios of residential properties. The proposed model shall also project insured losses for user defined scenarios and historical events.
4 The proposed model can be used to: provide assistance to the Florida Department of Insurance and the insurance industry in the rate making process provide a state of the art transparent wind hazard, vulnerability and insured loss models for public use 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
5 General Comments While the project is funded by the state of Florida and sponsored by the Florida Department of Insurance, it is being developed predominantly by academic experts at the International Hurricane Center at FIU, and in the various universities, in accordance with the best available methodologies, techniques, theories and scientific principles.
6 The model is being developed without bias and will be transparent. It is expected the model and its components will be available to the insurance and reinsurance industry. It will be subject to external review and will comply with the standards set by the Florida Commission on Hurricane Loss Projection Methodology (FCHLPM).
7 Project Design Flow Chat WIND MODEL Stochastic storms, INPUT DATA Storm tracks and Wind INPUT DATA fields INPUT DATA Vulnerability Model INPUT DATA Insured Loss Model OUTPUT
8 Project Design The model consists of three major components: wind, vulnerability (damage), and insured loss. The components shall be developed and validated independently before being integrated. The computer platform is designed to accommodate future hookups of additional subcomponents or enhancements.
9 Project Task Status There are over 65 major tasks and two hundred sub-tasks Currently 54 tasks are either completed or on going
10 Project Tasks- Continued Task Status A1 Historical meteorological data collection Completed A2 Define landfall segment (Altenative method adopted) Completed A3a Met Input database development Completed A3b Met Output database development On going A4 Meteorology literature survey Completed A5a Modeling/fitting hurricane parameter distributions On going A5b Wind fields development On going ** Storm track modeling On going ** Storm frequency and time of genesis modeling Completed A6 Climate Cycle model development Completed A7 Zip code centroid database Completed A8 Terrain coefficient database development Completed
11 A9 Inland decay model development On going A11 Wind Speed Estimates On going A12 Treatment of uncertainties for wind model On going A13 Validation of the wind model On going A14 Wind field comparisons On going A15 Sensitivity analysis for wind model On going A16 Documentation of wind model On going B1 Vulnerability component data collection Completed ** Field data analysis Completed B2 Vulnerability (Engineering) literature survey Completed B3 Structural classification survey Completed B4 Vulnerability (damage) functions/matrix modeling for structures On going ** Engineering component Monte Carlo simulation model develop On going ** Engineering damage simulations for masonry home model Completed
12 ** Engineering damage simulations for non-masonry home models On going B5 Vulnerability (damage) functions/matrix modeling for contents On going B6 Vulnerability (damage) functions/matrix modeling for ALE On going B8 Treatment of uncertainties for vulnerability model Ongoing ** Sensitivity analysis of the vulnerability models On going B12 Documentation of the model On going C1 Insurance premium file and claims database development On going C2 Insured loss modeling literature survey Completed C3 Insured Loss distribution modeling On going ** Modeling of deductibles On going ** Modeling of other policy modifications On going D1 Selection of computational architecture Completed D2 Hardware and software purchase and setup Completed D3 Computer Science graduate student training Completed D4 Integrated database development for all components On going
13 D5 Wind model object oriented analysis (**) On going D8 Wind model software development (**) On going D6 Vulnerability model object oriented analysis (**) On going D9 Vulnerability model software development (**) On going D7 Insured loss model object oriented analysis (**) On going D10 Insured model software development (**) On going ** Requirement analysis and computer model design of user case one Completed ** Requirement analysis and computer model design of user case two Completed ** Requirement analysis and computer model design of user case seven Completed ** Requirement analysis and computer model design of user case eight On going E1 External review of the wind model On going E2 External review of the vulnerability model On going E4 External review of the computer platform/ software design On going
14 There are totally nine use cases in this project to run the model. Six are for meteorology computation, one for the engineering damage model and two for insured loss estimation. This system is prototyped as a Web-based system. All source data are stored in a database.
15 Participating Institutions Florida International University (lead institution) Florida State University Florida Institute of Technology Hurricane Research Division, NOAA University of Florida University of Miami National Institute of Science and Technology
16 List of current participants (Excluding graduate students) Dr. Shahid Hamid * Dept of Finance and IHC, Florida International University Dr. Shu-Ching Chen * Dept of Computer Science, FIU Dr. Steven Cocke Dept of Meteorology, Florida State University Howard Eagelfeld Florida Department of Insurance Dr. Sneh Gulati * Dept. of Statistics, Florida International Univ Dr. Kurtis Gurley Dept of Civil Engineering, Univ of Florida Dr. T.N.Krishnamurti Dept of Meteorology, Florida State University Dr. Chris Landsea, Hurricane Research Division, NOAA Dr. Steve Leatherman Director, International Hurricane Center, FIU * Team Leaders
17 Nirva Morisseau Database expert, Hurricane Research Division, NOAA Dr. Ali Parhizgari Dept of Finance, Florida International Univ Dr. Jean Paul Pinelli * Dept of Civil Engineering, Florida Institute of Technology Dr. Mark Powell * Hurricane Research Division, NOAA Dr. George Soukop Hurricane Research Division, NOAA Dr. Emil Simiu National Institute of Standards & Tech and John Hopkins University Dr. George Soukup Applied physicist, AOML/NOAA Dr. Mei-Ling Shyu Dept. of Electrical and Computer Engineering, University of Miami Dr. Mani Subramaniam Dept of Mech Engineering, Florida Institute of Technology Dr. Walter Tang Dept of Civil Engineering, FIU
18 Insurance Data In February and March 2003, premium file and claims data were acquired for from: Citizen s Group, Prudential and All State. Data from State Farm, Nationwide etc have not been made available. Data prior to 1995, including for hurricane Andrew, has not been made available. The delay in data acquisition means significant delay in project timeline.
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