Browse Research
Viewing 3476 to 3500 of 7690 results
2000
Based on the profit and loss account of an insurance company we derive a probabilistic model for the financial result of the company, thereby both assets and liabilities are market to market. We thus focus on the economic value of the company.
We first analyze the underwriting risk of the company. The maximization of the risk return ratio of the company is derived as optimality criterion.
2000
There are two things that may be responsible for differences between the expected loss amount (for a contract or an entire portfolio) and the actual loss amount that is experienced: errors in estimating the long term average (parameter error) and random
good or bad luck (process risk). This paper presents a method for using historical data to establish a model for process risk.
2000
Loss development triangles are a fundamental component of the loss reserve adequacy testing process. These triangles may not be ideal for the immediate application and, almost certainly, will be less efficacious when. used for other
applications.
2000
2000
In the present paper we extend a recursive algorithm developed by Vernic (1999) for compound distributions with bivariate counting distribution and univariate severity distributions to more general multivariate counting distributions.
2000
Actuaries have long since recognized the value of survival analysis for calculating case reserves. While there is also a patent connection between setting case reserves and loss development, the tools of survival analysis have been largely ignored in building loss development models.
2000
The purpose of this paper is to provide background information about tobacco use, litigation and related diseases. It also provides a conceptual framework for developing an exposure-based model to estimate insurers" U.S. exposure to tobacco liability. A description of the model building process, the parameters required and sources of data that can be used in the analysis are included.
2000
Alzheimer's disease (AD) accounts for a significant proportion of long-term care costs. The recent discovery that the e4 allele of the ApoE gene indicates a predisposition to earlier onset of AD raises questions about the potential for adverse selection in long-term care insurance, about long-term care costs in general, and about the potential effects on costs of gene therapy, or better targeted treatments for AD.
2000
Special Topics (general or introductory); Building on the successful philosophy of the first edition - that learning how MIS concepts are applied in business makes concepts more interesting and easier to understand - Effy Oz has revised and updated this text to provide even more current, real business examples, expanded coverage of electronic commerce and business data communications.
2000
We investigate the influence of initial selection (the impact of underwriting during the early years of a policy's life) on individual Permanent Health Insurance claim inceptions. In Gutierrez-Delgado (1999) a decreasing trend was found. In this paper we include the effect of cause of disability and fit a generalized linear model in order to gain a greater understanding of the phenomenon.
2000
This paper finds that when report lags are assumed to be independent, the age-to-age factor method produces biased estimates when applied to claim count development data. Two distributions are considered as models for the ultimate number of claims for an accident period: (i) a Poisson distribution, and (ii) a negative binomial distribution.
2000
As insurers go global, they become more exposed to losses arising from political unrest and terrorist activity. Historically, while many of these exposures were excluded, there is increasing pressure to include them or provide alternative arrangements.
2000
This paper provides a broad overview of auto pricing in Europe. The change of markets from a cartel pricing situation to complete pricing freedom is explored. Items that should be considered in developing correct rates are listed and illustrated in turn with examples from the author's own experience abroad. The list and examples are meant to help the reader avoid mistakes stemming from commonly made assumptions.
2000
Satellite insurance liabilities for a portfolio of direct insurance contracts or facultative reinsurance contracts consist largely of unearned premium liabilities, with relatively smaller contributions from reported and unreported losses.
2000
We consider an alternative to the usual credibility premium that arises from squared-error loss, namely, a so-called equitable credibility premium (Promislow and Young, 1999). We derive formulas for the credibility weight in certain cases and give sufficient conditions for exact credibility.
2000
As technology advances rapidly, insurers may be faced with difficult choices in either maintaining large legacy systems that are based on older generation technologies and designs that are becoming outdated or migrating such systems into new technologies. Implementing new technologies can be revolutionary for an insurer in requiring the development of new skills, new system and process designs, and new ways of doing business.
2000
This paper will address enterprise risk management from a non-technical consultative perspective. It is our belief that in the upcoming years enterprise risk management will change the way companies view insurance, will influence who the actual buyer of insurance is. and will change the overall risk approach to less transactional and more strategical.
2000
Most employers purchase health care plans based on cost, but a growing number are beginning to pay attention to the quality of services when making their purchasing decisions.
2000
The purpose of this paper is to discuss and provide guidance on the important issues and considerations that confront actuaries when designing, building or selecting dynamic financial models of property-casualty risks.
2000
Dynamic Financial Analysis is more than just a buzz word in the property/casualty actuarial community-many say it's the wave of the future. Ever wonder what the buzz is about?
