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. "

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.

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."

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.

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.

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.

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.

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.