The book is aimed at teachers and students as well as practising experts in the financial area, in particular at actuaries in the field of property-casualty insurance, life insurance, reinsurance and insurance supervision. Persons working in the wider world of finance will also find many relevant ideas and examples even though credibility methods have not yet been widely applied here.
The book covers the subject of Credibility Theory extensively and includes most aspects of this topic from the simplest case to the most general dynamic model. Credibility is a lifeless topic if it is not linked closely to practical applications. The book therefore treats explicitly the tasks which the actuary encounters in his daily work such as estimation of loss ratios, claim frequencies and claim sizes.

This book deserves a place on the bookshelf of every actuary and mathematician who works, teaches or does research in the area of insurance and finance.

The book encompasses the broad field of e-Finance and its transformation. After reviewing the developments in the economic and the technology fields, it examines how the insurance, banking, and securities trading firms are bringing about the digital revolution and adapting in the same breath to the changed socio-economic environment. Add to it, the "Rogue Elements", the field of cyber crimes is covered on a priority basis. The book also covers the inevitable changes in fields of HR and Marketing and the crucial role of the regulators. Looked at through the eyes of Corporate Planner, the book does provide a road map for the financial institutions (FIs).

The authors of this study emphasize the effectiveness of collectively funded public insurances as opposed to genetic information regulation within the private insurance sector. Genetics has provided tools to determine individuals' risk of future disease, which is of key interest for insurance companies in determining insurance premiums; but persons with high enough risk may remain uninsured. For this reason, genetic information has been regulated. But, regulation may not be the solution, according to the authors, and they call for the resumption of social insurance, a key element of the welfare state.

You can afford the care you need.
If you're one of the millions who suffer from medical conditions such as cancer, heart disease, or diabetes, you know that these illnesses can, over time, cause extreme financial hardship. In this timely, thorough resource, Dr. David Nganele helps you identify the drugs, programs, hospitals, and strategies that will significantly reduce your out-of-pocket expenses. You'll discover how you can better afford your healthcare without losing out on quality of care. This reassuring guide provides hope and relief from one of the most stressful aspects of dealing with a serious illness. Whether you have health insurance or not, if you have to deal with medical costs, this book will become a significant source of financial relief.

This book includes many of the papers presented at the 6th International workshop on Model Oriented Data Analysis held in June 2001. This series began in March 1987 with a meeting on the Wartburg near Eisenach (at that time in the GDR). The next four meetings were in 1990 (St Kyrik monastery, Bulgaria), 1992 (Petrodvorets, St Petersburg, Russia), 1995 (Spetses, Greece) and 1998 (Marseilles, France). Initially the main purpose of these workshops was to bring together leading scientists from 'Eastern' and 'Western' Europe for the exchange of ideas in theoretical and applied statistics, with special emphasis on experimental design. Now that the sep aration between East and West is much less rigid, this exchange has, in principle, become much easier. However, it is still important to provide opportunities for this interaction. MODA meetings are celebrated for their friendly atmosphere. Indeed, dis cussions between young and senior scientists at these meetings have resulted in several fruitful long-term collaborations. This intellectually stimulating atmosphere is achieved by limiting the number of participants to around eighty, by the choice of a location in which communal living is encour aged and, of course, through the careful scientific direction provided by the Programme Committee. It is a tradition of these meetings to provide low cost accommodation, low fees and financial support for the travel of young and Eastern participants. This is only possible through the help of sponsors and outside financial support was again important for the success of the meeting."

This book, adopting machine learning techniques for the financial planning field, explores the demand for life insurance as seen in previous literature and both estimates and predicts the demand for the adoption of life insurance using these techniques. Previous studies used diverse perspectives, like actuarial and life span, in order to understand the demand for life insurance, though these approaches have shown inconsistent findings. Employing two theoretical backgrounds-ecological systemic theory and artificial intellectual methodology-this book explores a better estimation and a prediction of the demand for life insurance and will be of interest to academics and students of insurance, financial planning, and risk management.

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.

Huge economic losses from natural disasters, including nearly 100 000 fatalities world wide in 1999 alone, gave rise to a renewed recognition by government, industry and the public that national governments and international agencies cannot simply go on as they have in the past. Changes in financial cover, better enforcement procedures for building standards, better business contingency planning, and well developed emergency response were demanded from all sides. In this volume an international group of experts present recent research on the variety of approaches adopted by different countries to assess natural hazard risks and the incentives for mitigating and financing them, the particular focus being in earthquake risks. The volume also presents an in-depth summary of recent reforms in Turkey related to seismic risks, with comparative research from many other countries. Linkages are emphasised between science and engineering infrastructure, insurance and risk management, and public policy.

How are the costs of health insurance premiums determined? Should costs vary according to indicators of risk? How much do premiums vary with risk? Do the healthy subsidize the unhealthy? Should public subsidies vary according to economic status and risk? This book examines these questions.

This book assesses the role of the doctrine of insurable interest within modern insurance law by examining its rationales and suggesting how shortcomings could be fixed. Over the centuries, English law on insurable interest - a combination of statutes and case law - has become complex and unclear. Other jurisdictions have relaxed, or even abolished, the requirement for an insurable interest. Yet, the UK insurance industry has overwhelmingly supported the retention of the doctrine of insurable interest. This book explores whether the traditional justifications for the doctrine - the policy against wagering, the prevention of moral hazard and the doctrine's relationship with the indemnity principle - still stand up to scrutiny and argues that, far from being obsolete, they have acquired new significance in the global financial markets and following the liberalisation of gambling. It is also argued that the doctrine of insurable interest is an integral part of a system of insurance contract law rules and market practice. Rather than rejecting the doctrine, the book recommends a recalibration of insurable interest to afford better pre-contractual transparency to a proposer as to the suitability of the policy to his or her interest in the subject-matter to be insured. Providing a powerful defence for the retention of insurable interest, this book will appeal to both academics and practitioners working in the field of insurance law.

Das Buch beschreibt erstmals ein Konzept zur Einfuhrung einer Balanced Scorecard in der Praxis, das die Risikodimension im Versicherungsunternehmen berucksichtigt und gleichzeitig als Fruhwarnsystem genutzt werden kann."

This innovative book provides the first detailed analysis of the increasing convergence of banking and insurance in the retail area, a trend commonly referred to as bancassurance. In the first part of the book industry- and firm-level characteristics are analysed which contribute to the increasing level of cross-industry penetration in the banking and insurance sector. The second part of the book provides for the first time a detailed account of banks' entry strategies into insurance. It thereby focuses on identifying the key factors which determine whether or not entry will be successful.

Presents the policies and strategies of a wide-ranging group of ministerial personalities, central bankers, regulators and chief or senior executives of major financial and industrial groups. Their vision of the future is based on their high-level experience.

The cost of malpractice insurance to physicians has been increasing in recent years, as has the threat to physicians of being sued. This book describes and analyzes the workings of the market for physicians' liability insurance. The authors use their own data and other sources to study questions such as: Is the market for medical malpractice insurance competitive? Has the profitability of medical malpractice insurance been excessive? Why do malpractice insurers demand reinsurance? What effect has insurance regulation had on premiums? And it explores what experience rating is and how it is done.

This handbook offers a unique and original collection of analytical studies in Islamic economics and finance, and constitutes a humble addition to the literature on new economic thinking and global finance. The growing risks stemming from higher debt, slower growth, and limited room for policy maneuver raise concerns about the ability and propensity of modern economies to find effective solutions to chronic problems. It is important to understand the structural roots of inherent imbalance, persistence-in-error patterns, policy and governance failures, as well as moral and ethical failures. Admittedly, finance and economics have their own failures, with abstract theory bearing little relation with the real economy, uncertainties and vicissitudes of economic life. Economic research has certainly become more empirical despite, or perhaps because of, the lack of guidance from theory. The analytics of Islamic economics and finance may not differ from standard frameworks, methods, and techniques used in conventional economics, but may offer new perspectives on the making of financial crises, nature of credit cycles, roots of financial system instability, and determinants of income disparities. The focus is placed on the logical coherence of Islamic economics and finance, properties of Islamic capital markets, workings of Islamic banking, pricing of Islamic financial instruments, and limits of debt financing, fiscal stimulus and conventional monetary policies, inter alia. Readers with investment, regulatory, and academic interests will find the body of analytical evidence to span many areas of economic inquiry, refuting thereby the false argument that given its religious tenets, Islamic economics is intrinsically narrative, descriptive and not amenable to testable implications. Thus, the handbook may contribute toward a redefinition of a dismal science in search for an elusive balance between rationality, ethics and morality, and toward a remodeling of economies based on risk sharing and prosperity for all humanity

This book makes a substantial contribution to the general level of management education in insurance by providing a comprehensive review of the main issues facing the management of insurance enterprises. Nineteen authors with considerable practical as well as academic experience have collaborated to give an international perspective in areas such as strategy, corporate planning, organisation and staffing, costing, underwriting and premium rating, marketing, reserving and investment, profit analysis, and regulation.

A practical guide to adopting an accurate risk analysis methodology The Failure of Risk Management provides effective solutionstosignificantfaults in current risk analysis methods. Conventional approaches to managing risk lack accurate quantitative analysis methods, yielding strategies that can actually make things worse. Many widely used methods have no systems to measure performance, resulting in inaccurate selection and ineffective application of risk management strategies. These fundamental flaws propagate unrealistic perceptions of risk in business, government, and the general public. This book provides expert examination of essential areas of risk management, including risk assessment and evaluation methods, risk mitigation strategies, common errors in quantitative models, and more. Guidance on topics such as probability modelling and empirical inputs emphasizes the efficacy of appropriate risk methodology in practical applications. Recognized as a leader in the field of risk management, author Douglas W. Hubbard combines science-based analysis with real-world examples to present a detailed investigation of risk management practices. This revised and updated second edition includes updated data sets and checklists, expanded coverage of innovative statistical methods, and new cases of current risk management issues such as data breaches and natural disasters. Identify deficiencies in your current risk management strategy and take appropriate corrective measures Adopt a calibrated approach to risk analysis using up-to-date statistical tools Employ accurate quantitative risk analysis and modelling methods Keep pace with new developments in the rapidly expanding risk analysis industry Risk analysis is a vital component of government policy, public safety, banking and finance, and many other public and private institutions. The Failure of Risk Management: Why It's Broken and How to Fix It is a valuable resource for business leaders, policy makers, managers, consultants, and practitioners across industries.

The quantitative modeling of complex systems of interacting risks is a fairly recent development in the financial and insurance industries. Over the past decades, there has been tremendous innovation and development in the actuarial field. In addition to undertaking mortality and longevity risks in traditional life and annuity products, insurers face unprecedented financial risks since the introduction of equity-linking insurance in 1960s. As the industry moves into the new territory of managing many intertwined financial and insurance risks, non-traditional problems and challenges arise, presenting great opportunities for technology development. Today's computational power and technology make it possible for the life insurance industry to develop highly sophisticated models, which were impossible just a decade ago. Nonetheless, as more industrial practices and regulations move towards dependence on stochastic models, the demand for computational power continues to grow. While the industry continues to rely heavily on hardware innovations, trying to make brute force methods faster and more palatable, we are approaching a crossroads about how to proceed. An Introduction to Computational Risk Management of Equity-Linked Insurance provides a resource for students and entry-level professionals to understand the fundamentals of industrial modeling practice, but also to give a glimpse of software methodologies for modeling and computational efficiency. Features Provides a comprehensive and self-contained introduction to quantitative risk management of equity-linked insurance with exercises and programming samples Includes a collection of mathematical formulations of risk management problems presenting opportunities and challenges to applied mathematicians Summarizes state-of-arts computational techniques for risk management professionals Bridges the gap between the latest developments in finance and actuarial literature and the practice of risk management for investment-combined life insurance Gives a comprehensive review of both Monte Carlo simulation methods and non-simulation numerical methods Runhuan Feng is an Associate Professor of Mathematics and the Director of Actuarial Science at the University of Illinois at Urbana-Champaign. He is a Fellow of the Society of Actuaries and a Chartered Enterprise Risk Analyst. He is a Helen Corley Petit Professorial Scholar and the State Farm Companies Foundation Scholar in Actuarial Science. Runhuan received a Ph.D. degree in Actuarial Science from the University of Waterloo, Canada. Prior to joining Illinois, he held a tenure-track position at the University of Wisconsin-Milwaukee, where he was named a Research Fellow. Runhuan received numerous grants and research contracts from the Actuarial Foundation and the Society of Actuaries in the past. He has published a series of papers on top-tier actuarial and applied probability journals on stochastic analytic approaches in risk theory and quantitative risk management of equity-linked insurance. Over the recent years, he has dedicated his efforts to developing computational methods for managing market innovations in areas of investment combined insurance and retirement planning.

This book offers a timely and important analysis of the health insurance crisis in America. Relying on data from a wide range of publications about the health insurance industry, it investigates the causes of the industry's problems and analyzes the social effects of the growing crisis.

Proceedings of the First International Insurance Conference, Philadelphia, Pennsylvania, May 1957

Why do people buy health insurance? Conventional theory holds that people purchase insurance because they prefer the certainty of paying a small premium to the risk of getting sick and paying a large medical bill. Conventional theory also holds that any additional health care that consumers purchase because they have insurance is not worth the cost of producing it. Therefore, economists have promoted policies--copayments and managed care--to reduce consumption of this additional, seemingly low-value care.
This book presents a new theory of consumer demand for health insurance. It holds that people purchase insurance to obtain additional income when they become ill. In effect, insurance companies act to transfer insurance premiums from those who remain healthy to those who become ill. This additional income generates purchases of additional high-value care, often allowing sick persons to obtain life-saving care that they could not otherwise afford.
Regarding risk, the new theory relies on empirical studies showing that consumers actually prefer the risk of a large loss to incurring a smaller loss with certainty. Therefore, if consumers purchase insurance, it is not because they desire to avoid risk. Instead, the new theory suggests consumers simply pay a premium when healthy in exchange for a claim on additional income (effected when insurance pays for the medical care) if they become ill.
Health insurance is substantially more valuable to the consumer under the new theory. The new theory moreover implies that copayments and managed care--central health policies of the last 30 years--were directed at solving problems that largely did not exist. Because these policies either reduced the amount of income transferred to ill persons or limited access to valuable health care, they may have done more harm than good. The new theory also provides a solid theoretical justification for insuring the uninsured and for implementing national health insurance.

This book is a volume in the Penn Press Anniversary Collection. To mark its 125th anniversary in 2015, the University of Pennsylvania Press rereleased more than 1,100 titles from Penn Press's distinguished backlist from 1899-1999 that had fallen out of print. Spanning an entire century, the Anniversary Collection offers peer-reviewed scholarship in a wide range of subject areas.