professional-standards-review organizations (PSRO) in defining quality of care for the Medicare program; it is a "shared responsibility of health professionals and government to provide a reasonable basis for confidence that action will be taken, both to assess whether services meet professionally recognized standards and to correct any deficiencies that may be found" (p. 14). Similar pronouncements have been made for the quality assurance activities of the Department of Defense's CHAMPUS program and of the 1980s successor to the PSROs, the federally designated peer-review organizations (PROs), established to ensure quality and utilization-efficient care for Medicare. Links between the federal and state gov ernments and between professional associations and private review entities have been developed to make this "shared responsibility" manifest in the delivery and reimbursement of health services. This responsibility is seen in light of both pro fessional and legal accountability, a view noted by Gibson and Singhas (1978) and Alger (1980). Accountability, then, becomes a concentric concept that elaborates on the pure view of quality and reflects the federal government's consumer protection activities during the 1970s. The Joint Commission on Accreditation of Hospitals (JCAH), which has pro vided another primary historical leadership role in defining quality assurance, has promoted the evolution of the concept of resource limitations as a part of the defini tion of quality assurance.

Backward stochastic differential equations with jumps can be used to solve problems in both finance and insurance. Part I of this book presents the theory of BSDEs with Lipschitz generators driven by a Brownian motion and a compensated random measure, with an emphasis on those generated by step processes and Levy processes. It discusses key results and techniques (including numerical algorithms) for BSDEs with jumps and studies filtration-consistent nonlinear expectations and g-expectations. Part I also focuses on the mathematical tools and proofs which are crucial for understanding the theory. Part II investigates actuarial and financial applications of BSDEs with jumps. It considers a general financial and insurance model and deals with pricing and hedging of insurance equity-linked claims and asset-liability management problems. It additionally investigates perfect hedging, superhedging, quadratic optimization, utility maximization, indifference pricing, ambiguity risk minimization, no-good-deal pricing and dynamic risk measures. Part III presents some other useful classes of BSDEs and their applications. This book will make BSDEs more accessible to those who are interested in applying these equations to actuarial and financial problems. It will be beneficial to students and researchers in mathematical finance, risk measures, portfolio optimization as well as actuarial practitioners.

Health Insurance aims at filling a gap in actuarial literature, attempting to solve the frequent misunderstanding in regards to both the purpose and the contents of health insurance products (and 'protection products', more generally) on the one hand, and the relevant actuarial structures on the other. In order to cover the basic principles regarding health insurance techniques, the first few chapters in this book are mainly devoted to the need for health insurance and a description of insurance products in this area (sickness insurance, accident insurance, critical illness covers, income protection, long-term care insurance, health-related benefits as riders to life insurance policies). An introduction to general actuarial and risk-management issues follows. Basic actuarial models are presented for sickness insurance and income protection (i.e. disability annuities). Several numerical examples help the reader understand the main features of pricing and reserving in the health insurance area. A short introduction to actuarial models for long-term care insurance products is also provided. Advanced undergraduate and graduate students in actuarial sciences; graduate students in economics, business and finance; and professionals and technicians operating in insurance and pension areas will find this book of benefit.

This book presents a market-consistent valuation framework for implicit embedded options in life insurance contracts. This framework is used to perform an empirical analysis based on more than 110,000 actual and in-force life insurance policies and with a focus on the modeling of interest rates. Its results are the answer to the central question posed in the objectives: What value do the embedded options and guarantees considered have? This question is answered both absolutely and relative to the current policy reserves, from the perspective of the insurer, the policyholder and the shareholder respectively

Changes in production processes reflect the technological advances permeat ing our products and services. U. S. industry is modernizing and automating. In parallel, direct labor is fading as the primary cost driver while engineering and technology related cost elements loom ever larger. Traditional, labor-based ap proaches to estimating costs are losing their relevance. Old methods require aug mentation with new estimating tools and techniques that capture the emerging environment. This volume represents one of many responses to this challenge by the cost analysis profession. The Institute of Cost Analysis (lCA) is dedicated to improving the effective ness of cost and price analysis and enhancing the professional competence of its members. We encourage and promote exchange of research findings and appli cations between the academic community and cost professionals in industry and government. The 1990 National Meeting in Los Angeles, jointly spo sored by ICA and the National Estimating Society (NES), provides such a forum. Presen tations will focus on new and improved tools and techniques of cost analysis. This volume is the second in a series. The first was produced in conjunction with the 1989 National Meeting of ICA/NES in Washington, D.C. The articles in this volume, all refereed, were selected from about 100 submitted for presen tation at the Los Angeles meeting."

This volume is a milestone on our journey toward developing a more comprehensive understanding of the underpinnings of corporate financial performance. Weare concerned with both the factors that cause the financial performance of some firms to be better than others at a point in time and those factors that influence the trajectory of firm financial performance over time. In addressing these issues, we consider theoretical and empirical work on financial performance, drawn from several literatures, as well as present the results from our own empirical study. The review of the theoretical and empirical work is contemporary; the major portion of data comprising the empirical study was collected in the early 1980s as part of the Columbia Business School project on corporate strategic planning, but some data sequences extend into the mid-1980s and early 1990s. Our goals are to improve understanding of firm financial performance by developing a more integrated framework and to develop a research agenda based on what we have learned. This volume consists of four chapters, 12 appendices that provide detailed technical support and development for various portions of the discussion and an extensive set of references. It interweaves results from published literature in various fields with our original empirical work and develops an integrative approach to the study of firm fmancial performance.

Explores the changing business landscape of the 21st century and what it means for organizations. The author presents a new model for how to think about and handle the complex world of business from a managerial and innovative perspective with tips and tools for motivating and engaging your organization, clients and customers.

The u.s. government bulks large in the nation's financial markets. The huge volume of government-issued and -sponsored debt affects the pricing and volume ofprivate debt and, consequently, resource allocation between competing alternatives. What is often not fully appreciated is the substantial influence the federal government wields overresource allocation through its provisionofcreditandrisk-bearing services to the private economy. Because peopleand firms generally seekto avoid risk, atsomeprice they are willing to pay another party to assume the risk they would otherwise face. Insurance companies are a class of private-sector firms one commonly thinks of as providing these services. As the federal government has expanded its presence in the U.S. economy during this century, it has increasingly developed programs aimed at bearing risks that the private sector either would not take on at any price, or would take on but atapricethoughtto besogreatthatmostpotentialbeneficiarieswouldnotpurchase the coverage. Today, roughly three-fifths of all nonfederal credit outstanding is 1 assisted by some form of federal program. The federal government provides insurance of many private pension plans through the Pension Benefit Guaranty Corporation, subsidizesand implicitly guarantees the liabilitiesofseveral agencies dominating secondary loan markets (for example, the Federal National Mortgage Association, Federal Home Loan Mortgage Corporation, and Student Loan Mar ketingAssociation), andeithermakesdirectloansorguaranteesprivatelygenerated loans through a varietyofcreditprograms to farmers, exporters, home purchasers, and others."

Two related trends have created novel challenges for managing risk in the United States. The first trend is a series of dramatic changes in liability law as tort law has expanded to assign liability to defendants for reasons other than negligence. The unpredictability of future costs induced by changes in tort law may be partly responsible for the second major trend known as the liability crisis' - the disappearance of liability protection in markets for particularly unpredictable risks. This book examines decisions people make about insurance and liability. An understanding of such decision making may help explain why the insurance crisis resulted from the new interpretations of tort law and what to do about it. The articles cover three kinds of decisions: consumer decisions to purchase insurance; insurer decisions about coverage they offer; and the decisions of the public about the liability rules they prefer, which are reflected in legislation and regulation. For each of these three kinds of decisions, normative theories such as expected utility theory can be used as benchmarks against which actual decisions are judged.

Motivated by the many and long-standing contributions of H. Gerber and E. Shiu, this book gives a modern perspective on the problem of ruin for the classical Cramer-Lundberg model and the surplus of an insurance company. The book studies martingales and path decompositions, which are the main tools used in analysing the distribution of the time of ruin, the wealth prior to ruin and the deficit at ruin. Recent developments in exotic ruin theory are also considered. In particular, by making dividend or tax payments out of the surplus process, the effect on ruin is explored. Gerber-Shiu Risk Theory can be used as lecture notes and is suitable for a graduate course. Each chapter corresponds to approximately two hours of lectures.

This thesis investigates the competitive dynamics in the global insurance industry from 1999 to 2008. After reviewing the current state of the academic debate on interfirm rivalry, it derives a research agenda spanning different levels of analysis and phenomena of interest. Specifically, the thesis explores (1) how and why firms continuously adjust their strategic profiles in the presence of an industry's strategic group structure, (2) whether market shocks (namely 9/11 and Hurricane Katrina) temporarily change the decision-logic underlying competitive choices, and (3) whether stock markets respond differently to competitive moves that follow a clearly stated strategic rationale. "

Financial Risk and Derivatives provides an excellent illustration of the links that have developed in recent years between the theory of finance on one hand and insurance economics and actuarial science on the other. Advances in contingent claims analysis and developments in the academic and practical literature dealing with the management of financial risks reflect the close relationships between insurance and innovations in finance. The book represents an overview of the present state of the art in theoretical research dealing with financial issues of significance for insurance science. It will hopefully provide an impetus to further developments in applied insurance research.

This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students.

Over the past decade the financial and business environments have undergone significant changes. During the same period several advances have been made within the field of financial engineering, involving both the methodological tools as well as the application areas.

This comprehensive edited volume discusses the most recent advances within the field of financial engineering, focusing not only on the description of the existing areas in financial engineering research, but also on the new methodologies that have been developed for modeling and addressing financial engineering problems.

This book is divided into four major parts, each covering different aspects of financial engineering and modeling such as portfolio management and trading, risk management, applications of operation research methods, and credit rating models.

Handbook of Financial Engineering is intended for financial engineers, researchers, applied mathematicians, and graduate students interested in real-world applications to financial engineering.

Risk has been described in the past by a simple measure, such as the variance, and risk attitude is often considered simply a degree of risk aversion. However, this viewpoint is usually not sufficient."Risk Measures and Attitudes"collects contributions whichillustrate how modern approaches to both risk measures and risk attitudes are inevitably intertwined. The settings under which this is discussed includeportfolio choice, mitigating credit risk and comparing risky alternatives.

This book will be a useful study aid for students and researchers of actuarial science or risk management as well as practitioners."

Orio Giarini The "Geneva Association" (International Association for the Study of Risk and Insurance Economics) was founded in 1973. The main goal was to stimulate and organize objective research in the field of risk, uncertainty, and insurance, in a world in which such issues were clearly becoming of greater and greater relevance for all economic actors. This was a pioneer ing effort, especially as economic theory and the teaching of economics were still anchored to the key notion of general equilibrium under an assumption of certainty. Thus, we had to start our work almost from scratch. One of the first initiatives was to bring together in Geneva, in June of 1973, all the academics in Europe already involved in risk and insurance economics. We found eight from five different countries who never had met before. This seminar chaired by Raymond Barre, the first president of The Geneva Association, was the first of an annual series that became known as the seminar of "The European Group of Risk and Insurance Economists." Since then more than 100 economists from most European countries as well as participants from two other continents and in particular from the United States have taken part in this seminar."

The book presents risk management from an engineering perspective. Both a systemic and analytic viewpoint are important in this regard. The introduction to the concept of 'risk' is followed by risk management principles, risk diagnostic, analysis and treatment, event analysis, crisis management, economic issues, risk governance followed by examples of practical implementation in chemistry, physics and emerging technologies such as nanoparticles. Finally, also a number of well-known major industrial accidents are discussed, and how one can learn from accidents. The book is aimed at anyone faced with risk and safety issues. The target audience can be as diverse as students, engineers, scientists, sociologists, psychologists, or actually all practitioners and academics interested in the matter.

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.

There are two questions often asked of risk communication: what has been learned from past work, and what is needed to push the field forward? Drawing on the experience of leading risk researchers and practitioners, Effective Risk Communication focuses on answering these questions. The book draws together new examples of research and practice from contexts as diverse as energy generation, human health, nuclear waste, climate change, food choice, and social media. This book treats risk communication as much more than the interchange of risk information between experts and non-experts; rather, it aims to emphasise the diversity in viewpoints and practices. In each specially commissioned chapter, the authors reflect on the theoretical and applied underpinnings of their best projects and comment on how their approach could be used effectively by others. Building upon each other, the chapters will provoke new discussion and action around a discipline which many feel is neither meeting important needs in practice, nor living up to its potential in research. Through a more careful examination of the work already done in risk communication, the book will help develop better, more reflective practice for the future.

This selection of papers encompasses recent methodological advances in several important areas, such as multivariate failure time data and interval censored data, as well as innovative applications of the existing theory and methods. Using a rigorous account of statistical forecasting efforts that led to the successful resolution of the John-Manville asbestos litigation, the models in this volume can be adapted to forecast industry-wide asbestos liability. More generally, because the models are not overly dependent on the U.S. legal system and the role of asbestos, this volume will be of interest in other product liability cases, as well as similar forecasting situations for a range of insurable or compensational events. Throughout the text, the emphasis is on the iterative nature of model building and the uncertainty generated by lack of complete knowledge of the injury process. This uncertainty is balanced against the court's need for a definitive settlement, and how these opposing principles can be reconciled. A valuable reference for researchers and practitioners in the field of survival analysis.

How much is a human life worth? Individuals, families, companies, and governments routinely place a price on human life. The calculations that underlie these price tags are often buried in technical language, yet they influence our economy, laws, behaviors, policies, health, and safety. These price tags are often unfair, infused as they are with gender, racial, national, and cultural biases that often result in valuing the lives of the young more than the old, the rich more than the poor, whites more than blacks, Americans more than foreigners, and relatives more than strangers. This is critical since undervalued lives are left less-protected and more exposed to risk. Howard Steven Friedman explains in simple terms how economists and data scientists at corporations, regulatory agencies, and insurance companies develop and use these price tags and points a spotlight at their logical flaws and limitations. He then forcefully argues against the rampant unfairness in the system. Readers will be enlightened, shocked, and, ultimately, empowered to confront the price tags we assign to human lives and understand why such calculations matter.

The result of two key social developments in recent years are examined here: the partial dismantling of the welfare state and the progress of genetics. Genetic insights are increasingly valuable for risk assessment, and insurers would like to use these insights to help determine premiums. Combined with the fact that social welfare is being curtailed, this could potentially create an uninsured high-risk population. Along with considerations of autonomy and privacy, this is the basis for an ethical critique of insurer's access to information. The result has often been regulation of such information; but the authors argues that due to adverse selection, regulation will not solve these problems, and this may jeopardize the survival of private personal insurance. Instead, we should look towards the resurrection of social insurance, a key component of the welfare state. This will interest academic researchers as well as professionals involved with genetics and insurance.

This book discusses legal issues related to the principle of indemnity in marine insurance contracts as well as disputes that may arise in a representative sample of common and continental law jurisdictions. It offers a comparative examination of Australian, English, Canadian, French, Greek, Norwegian and U.S. law. It examines the scope for a legal reform and the potential of achieving a better, more flexible, and modern indemnification regime.

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.