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Most insurers around the world have introduced some form of merit-rating in automobile third party liability insurance. Such systems, penalizing at-fault accidents by premium surcharges and rewarding claim-free years by discounts, are called bonus-malus systems (BMS) in Europe and Asia. With the current deregulation trends that concern most insurance markets around the world, many companies will need to develop their own BMS. The main objective of the book is to provide them models to design BMS that meet their objectives. Part I of the book contains an overall presentation of the pros and cons of merit-rating, a case study and a review of the different probability distributions that can be used to model the number of claims in an automobile portfolio. In Part II, 30 systems from 22 different countries, are evaluated and ranked according to their `toughness' towards policyholders. Four tools are created to evaluate that toughness and provide a tentative classification of all systems. Then, factor analysis is used to aggregate and summarize the data, and provide a final ranking of all systems. Part III is an up-to-date review of all the probability models that have been proposed for the design of an optimal BMS. The application of these models would enable the reader to devise the system that is ideally suited to the behavior of the policyholders of his own insurance company. Finally, Part IV analyses an alternative to BMS; the introduction of a policy with a deductible.
"RAND social and economic well being"--Title page.
Written by a practicing emergency physician, The White Coat Investor is a high-yield manual that specifically deals with the financial issues facing medical students, residents, physicians, dentists, and similar high-income professionals. Doctors are highly-educated and extensively trained at making difficult diagnoses and performing life saving procedures. However, they receive little to no training in business, personal finance, investing, insurance, taxes, estate planning, and asset protection. This book fills in the gaps and will teach you to use your high income to escape from your student loans, provide for your family, build wealth, and stop getting ripped off by unscrupulous financial professionals. Straight talk and clear explanations allow the book to be easily digested by a novice to the subject matter yet the book also contains advanced concepts specific to physicians you won't find in other financial books. This book will teach you how to: Graduate from medical school with as little debt as possible Escape from student loans within two to five years of residency graduation Purchase the right types and amounts of insurance Decide when to buy a house and how much to spend on it Learn to invest in a sensible, low-cost and effective manner with or without the assistance of an advisor Avoid investments which are designed to be sold, not bought Select advisors who give great service and advice at a fair price Become a millionaire within five to ten years of residency graduation Use a "Backdoor Roth IRA" and "Stealth IRA" to boost your retirement funds and decrease your taxes Protect your hard-won assets from professional and personal lawsuits Avoid estate taxes, avoid probate, and ensure your children and your money go where you want when you die Minimize your tax burden, keeping more of your hard-earned money Decide between an employee job and an independent contractor job Choose between sole proprietorship, Limited Liability Company, S Corporation, and C Corporation Take a look at the first pages of the book by clicking on the Look Inside feature Praise For The White Coat Investor "Much of my financial planning practice is helping doctors to correct mistakes that reading this book would have avoided in the first place." - Allan S. Roth, MBA, CPA, CFP(R), Author of How a Second Grader Beats Wall Street "Jim Dahle has done a lot of thinking about the peculiar financial problems facing physicians, and you, lucky reader, are about to reap the bounty of both his experience and his research." - William J. Bernstein, MD, Author of The Investor's Manifesto and seven other investing books "This book should be in every career counselor's office and delivered with every medical degree." - Rick Van Ness, Author of Common Sense Investing "The White Coat Investor provides an expert consult for your finances. I now feel confident I can be a millionaire at 40 without feeling like a jerk." - Joe Jones, DO "Jim Dahle has done for physician financial illiteracy what penicillin did for neurosyphilis." - Dennis Bethel, MD "An excellent practical personal finance guide for physicians in training and in practice from a non biased source we can actually trust." - Greg E Wilde, M.D Scroll up, click the buy button, and get started today!
There are a wide range of variables for actuaries to consider when calculating a motorist’s insurance premium, such as age, gender and type of vehicle. Further to these factors, motorists’ rates are subject to experience rating systems, including credibility mechanisms and Bonus Malus systems (BMSs). Actuarial Modelling of Claim Counts presents a comprehensive treatment of the various experience rating systems and their relationships with risk classification. The authors summarize the most recent developments in the field, presenting ratemaking systems, whilst taking into account exogenous information. The text: Offers the first self-contained, practical approach to a priori and a posteriori ratemaking in motor insurance. Discusses the issues of claim frequency and claim severity, multi-event systems, and the combinations of deductibles and BMSs. Introduces recent developments in actuarial science and exploits the generalised linear model and generalised linear mixed model to achieve risk classification. Presents credibility mechanisms as refinements of commercial BMSs. Provides practical applications with real data sets processed with SAS software. Actuarial Modelling of Claim Counts is essential reading for students in actuarial science, as well as practicing and academic actuaries. It is also ideally suited for professionals involved in the insurance industry, applied mathematicians, quantitative economists, financial engineers and statisticians.
This class-tested undergraduate textbook covers the entire syllabus for Exam C of the Society of Actuaries (SOA).
Class actions, which are civil cases in which parties initiate a lawsuit on behalf of other plaintiffs not specifically named in the complaint, often make headlines and arouse policy debates. However, policymakers and the public know little about most class actions. This book presents the results of surveys of insurers and of state departments of insurance to learn more about class litigation against insurance companies.
Many Americans believe that people who lack health insurance somehow get the care they really need. Care Without Coverage examines the real consequences for adults who lack health insurance. The study presents findings in the areas of prevention and screening, cancer, chronic illness, hospital-based care, and general health status. The committee looked at the consequences of being uninsured for people suffering from cancer, diabetes, HIV infection and AIDS, heart and kidney disease, mental illness, traumatic injuries, and heart attacks. It focused on the roughly 30 million-one in seven-working-age Americans without health insurance. This group does not include the population over 65 that is covered by Medicare or the nearly 10 million children who are uninsured in this country. The main findings of the report are that working-age Americans without health insurance are more likely to receive too little medical care and receive it too late; be sicker and die sooner; and receive poorer care when they are in the hospital, even for acute situations like a motor vehicle crash.
This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website.
Motor vehicle accidents are still a leading cause of death, even if the trend has somewhat declined over the past 20 years. Indeed, motor vehicle accidents are a significant cause of death in comparison with air and space transport accidents, homicides and even HIV infections, causes which are more often highlighted in the media. As shown in this book, motor vehicle accidents are particularly damaging to very young drivers. The assessment of driving risks is a common concern for road transportation safety and the automobile insurance industry. In both cases, there is an awareness of the great losses resulting from the deaths, injuries and property damage caused by traffic accidents. Research is essential to counteract this public health threat, to assess the success or failure of countermeasures, and to solve the problems it generates in the insurance industry. This book is for people concerned about road crashes (prevention and compensation) and about the insurance problems they pose - namely private and public institutional authorities, consultants, administrators, practitioners, and researchers interested in sharing the authors' experience in this domain. The book presents original contributions related to motor vehicle insurance and road safety. All papers have been evaluated by external referees. Four subjects are covered: 1) Automobile Insurance Pricing, Risks and Asymmetric Information; 2) Insurance Fraud; 3) Young Drivers: Licensing Policies, Evaluation and Risks; and 4) Road Insurance Regulation.