This study is concerned briefly with (1) tracing the evolution of fire insurance and fire insurance rate making; (2) an explanation of the present most prominent rate making systems in the United States; and (3) a detailed analysis of fire insurance rating in Texas.

Chow, Chui Ngan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2008. / Includes bibliographical references (leaves 76-79). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Interest Rate Models --- p.6 / Chapter 2.1 --- Short Rate Models --- p.7 / Chapter 2.2 --- Heath-Jarrow-Morton Framework --- p.8 / Chapter 2.3 --- Bond Market Models (BMM) --- p.9 / Chapter 3 --- Mortality Models --- p.13 / Chapter 3.1 --- Deterministic Survival Functions --- p.13 / Chapter 3.2 --- Stochastic Mortality Models --- p.15 / Chapter 4 --- Guaranteed Annuity Options under BMM --- p.16 / Chapter 4.1 --- Model Settings --- p.17 / Chapter 4.1.1 --- Financial Variables --- p.17 / Chapter 4.1.2 --- Mortality --- p.19 / Chapter 4.2 --- Guaranteed annuity option --- p.21 / Chapter 4.3 --- Numerical results --- p.23 / Chapter 4.3.1 --- Simulation Study --- p.24 / Chapter 4.3.2 --- Empirical results --- p.29 / Chapter 5 --- Longevity Bond Market Models --- p.34 / Chapter 5.1 --- Model Settings --- p.35 / Chapter 5.1.1 --- Theoretical Settings --- p.35 / Chapter 5.1.2 --- Risk-free Bonds and Longevity Bonds --- p.36 / Chapter 5.2 --- Applications on Potential Mortality-Linked Products --- p.41 / Chapter 5.3 --- Numerical Results --- p.45 / Chapter 5.3.1 --- Simulation Settings --- p.46 / Chapter 5.3.2 --- Simulation Results --- p.49 / Chapter 6 --- Conclusion --- p.53 / Chapter A --- Equation Derivation --- p.56 / Chapter A.l --- Proof for Proposition (4.2.1) --- p.56 / Chapter A.2 --- Proof for Proposition (4.2.2) --- p.58 / Chapter A.3 --- Proof for Proposition (5.3.1) --- p.61 / Chapter A.4 --- Proof for Proposition (5.3.2) --- p.66 / Chapter B --- Results --- p.71 / Chapter B.l --- Valuation Results for GAO under BMM --- p.71 / Chapter B.1.1 --- Simulation Situations --- p.71 / Chapter B.1.2 --- Calibration Results --- p.72 / Chapter B.1.3 --- Valuation Results --- p.74

A risk analysis approach for farm work-related injuries was proposed. For this study, risk is defined as the Expected Injury Cost (EIC) index per farm worker per year. Four steps are involved in the risk assessment analysis of farm injuries: (1) determination of risk factors, (2) injury severity classification, (3) cost estimation, and (4) risk characterization. Farm variables were examined to determine their influences on the rates of occurrence as well as the severity of injuries. Farm injuries were correlated with the risk factors of employment status, gender of farm worker, age of farm worker, hours of exposure, type of agricultural operation, and various hazardous conditions on a farm. By combining the probability of injuries due to a particular risk factor with the estimated costs of injuries, the EIC indices were derived for farm workers and activities. Agricultural safety education and research priorities were defined based upon the risk model developed in this study. A sensitivity analysis was conducted to determine the impact of the assumptions on the research priorities established. It was found that the research priorities were not affected by the uncertainty on the magnitude of injury costs and other variables used in this study. The risk-based approach can also provide input to farm insurance ratings. By combining the EIC index for each worker with the number of workers employed on a farm, a composite risk factor could be obtained for the farm enterprise. This composite risk factor can be used as a basis for adjusting farm insurance premiums. Adjustment of insurance premiums or related benefits could be used as an economic incentive to encourage adoption of safer farming practices so that preventable farm accidents and human suffering can be reduced. Other potential applications of the risk model presented in this study include safety management and loss control for a farm enterprise, and serving as a guide for the systematic collection of farm injury data. / Ph. D.

Made available in DSpace on 2015-12-03T18:33:12Z (GMT). No. of bitstreams: 1 Henry_Marcondes_Santos_Lopes.pdf: 1552777 bytes, checksum: 8c2cafcae0b53d4373d90165f6c26d80 (MD5) Previous issue date: 2014-11-04 / This paper analyzes the impact of changes in the Brazilian economy s basic interest rate, the Selic, on the result of active insurers in Brazil within dec/2002 and dec/2013. Through panel data regressions, it was observed how the profitability of different companies on the insurance market behaved due to variations in the interest rate. The objective is to point out the practices with which the insurance company try to optimize the returns on their operations, including making them less dependent on the outcome of the financial account. The insurers accounting data used in the paper were extracted from the Superintendence of Private Insurance (SUSEP) statistical system, and the results show that variations in the Selic rate had statistically significant impacts on the financial result and the premium charged by activeinsurance companies in Brazil, and the companies apparently offset lower profitability of the financial account by increasing the premiums charged, which may be an evidence of oligopolistic behavior of this market in Brazil. / O trabalho analisa o impacto de modifica????es na taxa b??sica de juros da economia brasileira, a SELIC, no resultado das seguradoras atuantes no Brasil no per??odo de dez/2002 a dez/2013. Por meio de regress??es utilizando dados em painel, verificou-se como a rentabilidade de diferentes empresas do ramo de seguros se comportou em decorr??ncia das varia????es ocorridas na taxa de juros. Procura-se assim apontar as pr??ticas com as quais as sociedade seguradoras tentam otimizar os retornos de suas opera????es, inclusive tornando-os menos dependentes dos resultados da conta financeira. No estudo foram utilizados dados cont??beis das seguradoras extra??dos do sistema de estat??sticas da Superintend??ncia de Seguros Privados (SUSEP) e os resultados encontrados evidenciam que varia????es da SELIC tiveram impactos estatisticamente significantes no resultado financeiro e no pr??mio cobrado pelas Seguradoras atuantes no Brasil, sendo que as empresas aparentemente compensaram uma menor rentabilidade da conta financeira com acr??scimos nos pr??mios cobrados, o que pode evidenciar um comportamento oligopolista deste mercado no Brasil.