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 book is different from all other books on Life Insurance by at least one of the following characteristics 1-4. 1. The treatment of life insurances at three different levels: time-capital, present value and price level. We call time-capital any distribution of a capital over time: (*) is the time-capital with amounts Cl, ~, ... , C at moments Tl, T , ..* , T resp. N 2 N For instance, let (x) be a life at instant 0 with future lifetime X. Then the whole oO oO life insurance A is the time-capital (I,X). The whole life annuity a is the x x time-capital (1,0) + (1,1) + (1,2) + ... + (I,'X), where 'X is the integer part ofX. The present value at 0 of time-capital (*) is the random variable T1 T TN Cl V + ~ v , + ... + CNV . (**) In particular, the present value ofA 00 and a 00 is x x 0 0 2 A = ~ and a = 1 + v + v + ... + v'X resp. x x The price (or premium) of a time-capital is the expectation of its present value. In particular, the price ofA 00 and ax 00 is x 2 A = E(~) and a = E(I + v + v + ... + v'X) resp.

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.

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.

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 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.

Creating the Future with All Finance and Financial Conglomerates comprises an academic search for an understanding of all finance and financial conglomerates. It presents a strategic and economic analysis of diversification strategies and the growing interface between different types of financial firms. On the basis of a solid analysis of theoretical foundations and practical value, the book develops basic concepts of creating the future: especially solutions in managing risks and fresh ideas for the development of integrated financial services. The structure of the book is logical: starting on theoretical foundations (section 1, part A) and examining the economic value of All Finance and Financial Conglomerates (part B), leads to creating a concept for the future (part C). Case studies add additional practical value to this research. The review of the subject is completed by aspects of risk management in this sector and by political guidelines for the EU single market (section 2). The book builds further on Professor Van den Berghe's first publication, entitled Financial Conglomerates - New Rules for New Players (published by Kluwer Academic Publishers in October 1995) and broadens the scope in the direction of strategic and managerial aspects. The following five aspects underline the innovativeness of the material: The volume is not only focused on the diversification of banks via `bancassurance', but also analyses in depth the parallel developments in the insurance market, whereby insurers and insurance intermediaries launch themselves in the direction of `assurfinance'; The material analyses not only the cross-selling of each other's products and the blurring of the market boundaries, but also the diversification, collaboration, and integration on all other levels and functions; New conceptual tools (the financial conglomerates control board) are developed to provide a more in-depth comparison of the many cases of this international trend; The book goes far beyond the categorisation of the mode of diversification, by looking at all managerial aspects of such a growth strategy; and The work looks at the economic and legal aspects involved as well as at the more strategic and managerial aspects. This research has been made possible thanks to the financial support of The LEVOB Foundation.

Modern Actuarial Risk Theory contains what every actuary needs to know about non-life insurance mathematics. It starts with the standard material like utility theory, individual and collective model and basic ruin theory. Other topics are risk measures and premium principles, bonus-malus systems, ordering of risks and credibility theory. It also contains some chapters about Generalized Linear Models, applied to rating and IBNR problems. As to the level of the mathematics, the book would fit in a bachelors or masters program in quantitative economics or mathematical statistics. This second and much expanded edition emphasizes the implementation of these techniques through the use of R. This free but incredibly powerful software is rapidly developing into the de facto standard for statistical computation, not just in academic circles but also in practice. With R, one can do simulations, find maximum likelihood estimators, compute distributions by inverting transforms, and much more.

Securitisations of insurance risk as new methods of risk transfer have been emerging in the global financial market during the recent twenty years. Christoph Weber analyses the techniques of traditional methods in comparison with securitisations for life- and non-life insurance risk.

The aim of the book is to provide an overview of risk management in life insurance companies. The focus is twofold: (1) to provide a broad view of the different topics needed for risk management and (2) to provide the necessary tools and techniques to concretely apply them in practice. Much emphasis has been put into the presentation of the book so that it presents the theory in a simple but sound manner. The first chapters deal with valuation concepts which are defined and analysed, the emphasis is on understanding the risks in corresponding assets and liabilities such as bonds, shares and also insurance liabilities. In the following chapters risk appetite and key insurance processes and their risks are presented and analysed. This more general treatment is followed by chapters describing asset risks, insurance risks and operational risks - the application of models and reporting of the corresponding risks is central. Next, the risks of insurance companies and of special insurance products are looked at. The aim is to show the intrinsic risks in some particular products and the way they can be analysed. The book finishes with emerging risks and risk management from a regulatory point of view, the standard model of Solvency II and the Swiss Solvency Test are analysed and explained. The book has several mathematical appendices which deal with the basic mathematical tools, e.g. probability theory, stochastic processes, Markov chains and a stochastic life insurance model based on Markov chains. Moreover, the appendices look at the mathematical formulation of abstract valuation concepts such as replicating portfolios, state space deflators, arbitrage free pricing and the valuation of unit linked products with guarantees. The various concepts in the book are supported by tables and figures.

The subprime crisis has shown that the sophisticated risk management models used by banks and insurance companies had serious flaws. Some people even suggest that these models are completely useless. Others claim that the crisis was just an unpredictable accident that was largely amplified by the lack of expertise and even naivety of many investors. This book takes the middle view. It shows that these models have been designed for "tranquil times," when financial markets behave smoothly and efficiently. However, we are living in more and more "turbulent times": large risks materialize much more often than predicted by "normal" models, financial models periodically go through bubbles and crashes. Moreover, financial risks result from the decisions of economic actors who can have incentives to take excessive risks, especially when their remunerations are ill designed. The book provides a clear account of the fundamental hypotheses underlying the most popular models of risk management and show that these hypotheses are flawed. However it shows that simple models can still be useful, provided they are well understood and used with caution.

In classical life insurance mathematics the obligations of the insurance company towards the policy holders were calculated on artificial conservative assumptions on mortality and interest rates. However, this approach is being superseded by developments in international accounting and solvency standards coupled with other advances enabling a market-based valuation of risk, i.e., its price if traded in a free market. The book describes these new approaches, and is the first to explain them in conjunction with more traditional methods. The various chapters address specific aspects of market-based valuation. The exposition integrates methods and results from financial and insurance mathematics, and is based on the entries in a life insurance company's market accounting scheme. The book will be of great interest and use to students and practitioners who need an introduction to this area, and who seek a practical yet sound guide to life insurance accounting and product development.

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.

Gerald Feldman's history of the internationally prominent insurance corporation Allianz AG in the Nazi era is based largely on new or previously unavailable archival sources, making this a more accurate account of Allianz and the men who directed its business than was ever before possible. Feldman takes the reader through varied cases of collaboration and conflict with the Nazi regime with fairness and a commitment to informed analysis, touching on issues of damages in the Pogrom of 1938, insuring facilities used in forced labor camps, and the problems of denazification and restitution. The broader issues examined in this study--when cooperation with Nazi policies was compulsory and when it was complicit, the way in which profit, ideology, and opportunism played a role in corporate decision making, and the question of how Jewish insurance assets were expropriated--are particularly relevant today given the ongoing international debate about restitution for Holocaust survivors. This book joins a growing body of scholarship based on open access to the records of German corporations in the Nazi era. Gerald D. Feldman is Professor of History at the University of California at Berkeley. His book, The Great Disorder (Oxford, 1993) received the DAAD Book Prize of the German Historical Association and the Book Prize for Central European History from the American Historical Association. He was an invited expert at the London Gold Conference in December 1997 and at the U.S. Conference on Holocaust Assets in Washington, D.C. in December 1998 and served as an advisor to the Presidential Commision on Holocaust Assets in the United States.

Die Kosten im deutschen Gesundheitssystem steigen, zugleich werden Qualitatsprobleme immer offensichtlicher trotz aller Reformbemuhungen. Die Autoren gehen davon aus, dass nicht Kostenkontrolle, sondern die Steigerung des Patientennutzens das Ziel ist, das alle Akteure vereinen kann. In zwolf Empfehlungen erklaren sie, wie sich Leistungserbringer im Wettbewerb um Qualitat organisieren sollten, wie Krankenkassen eine aktivere Rolle spielen und das Vergutungssystem kunftig Exzellenz in der Versorgung einzelner Krankheitsbilder belohnen konnte."

Novi Dewan establishes a status quo of the Indian health and life insurance industry and discusses the best practices for various elements of the marketing mix. She complements secondary research with recent empirical data accentuating the emerging opportunities and challenges in the Indian Insurance Industry by using standardized interviews with opinion leaders and CEOs of several insurers.

The challenges of the current financial environment have revealed the need for a new generation of professionals who combine training in traditional finance disciplines with an understanding of sophisticated quantitative and analytical tools. Risk Management and Simulation shows how simulation modeling and analysis can help you solve risk management problems related to market, credit, operational, business, and strategic risk. Simulation models and methodologies offer an effective way to address many of these problems and are easy for finance professionals to understand and use. Drawing on the author's extensive teaching experience, this accessible book walks you through the concepts, models, and computational techniques. How Simulation Models Can Help You Manage Risk More Effectively Organized into four parts, the book begins with the concepts and framework for risk management. It then introduces the modeling and computational techniques for solving risk management problems, from model development, verification, and validation to designing simulation experiments and conducting appropriate output analysis. The third part of the book delves into specific issues of risk management in a range of risk types. These include market risk, equity risk, interest rate risk, commodity risk, currency risk, credit risk, liquidity risk, and strategic, business, and operational risks. The author also examines insurance as a mechanism for risk management and risk transfer. The final part of the book explores advanced concepts and techniques. The book contains extensive review questions and detailed quantitative or computational exercises in all chapters. Use of MATLAB (R) mathematical software is encouraged and suggestions for MATLAB functions are provided throughout. Learn Step by Step, from Basic Concepts to More Complex Models Packed with applied examples and exercises,

Investments, global warming and crossing the road a " risk is a factor embedded in our everyday lives but do we really understand what it means, how it is quantified and how decisions are made? In six chapters Ben Ale explains the concepts, methods and procedures for risk analysis and in doing so provides an introductory understanding of risk perception, assessment and management.

Aided by over seventy illustrations, the author casts light on the often overlooked basics of this fascinating field, making this an essential text for students at undergraduate and postgraduate level as well as policy and decision-making professionals.

Developed from the Safety Science or Risk Science course taught at Delft University, this highly respected author has a lifetime of knowledge and experience in the study of risk.

This classic social insurance work has been updated to cover a decade of policy developments and the impact of the recent economic crisis.The book includes in-depth discussion of all major programs to reduce economic insecurity in the United States, including Social Security, Medicare, workers' compensation, unemployment compensation, and temporary disability insurance. The principles, characteristics, and policy issues associated with social insurance and public assistance programs are discussed in detail. The book examines each major cause of economic insecurity and analyzes the appropriate social insurance program for dealing with the problem.

Yet again, here is a Springer volume that offers readers something completely new. Until now, solved examples of the application of stochastic control to actuarial problems could only be found in journals. Not any more: this is the first book to systematically present these methods in one volume. The author starts with a short introduction to stochastic control techniques, then applies the principles to several problems. These examples show how verification theorems and existence theorems may be proved, and that the non-diffusion case is simpler than the diffusion case. Schmidli 's brilliant text also includes a number of appendices, a vital resource for those in both academic and professional settings.

This book focuses on the way literary texts articulate embedded cultural assumptions about monetary value and reflect the logic of certain economic practices. In its simplest formulation, Underwriting is an investigation of the cultural history of insurance in early America. It seeks a large part of that cultural history in the lives and works of five American authors of the eighteenth and nineteenth centuries: Benjamin Franklin, Phillis Wheatley, Noah Webster, Herman Melville, and Ralph Waldo Emerson. It hinges on an odd-sounding assumption: that insurance, as a textual procedure requiring signatures to conserve property, is a writing business, theoretically and practically. Insurance articulates a nexus (in the form of contractual and monetary obligations) between property and text, attempting to mark and reconcile with its voracious application of assurances these two cornerstones of capitalist logic. The plot of Underwriting that Wertheimer pursues is then manifold: a meditation on theories of writing; a cultural and social history of the practices that make mutually defining modes of loss and reparation profitable and pleasurable; and a reading of certain literary texts that might lead us to new understandings of the relationship between artistic and commercial discourses in America.

The 2008 financial collapse, the expansion of corporate and private wealth, the influence of money in politics-many of Wall Street's contemporary trends can be traced back to the work of fourteen critical figures who wrote, and occasionally broke, the rules of American finance. Edward Morris plots in absorbing detail Wall Street's transformation from a clubby enclave of financiers to a symbol of vast economic power. His book begins with J. Pierpont Morgan, who ruled the American banking system at the turn of the twentieth century, and ends with Sandy Weill, whose collapsing Citigroup required the largest taxpayer bailout in history. In between, Wall Streeters relates the triumphs and missteps of twelve other financial visionaries. From Charles Merrill, who founded Merrill Lynch and introduced the small investor to the American stock market; to Michael Milken, the so-called junk bond king; to Jack Bogle, whose index funds redefined the mutual fund business; to Myron Scholes, who laid the groundwork for derivative securities; and to Benjamin Graham, who wrote the book on securities analysis. Anyone interested in the modern institution of American finance will devour this history of some of its most important players.