This book covers recent developments in the interdisciplinary fields of actuarial science, quantitative finance, risk- and asset management. The authors are leading experts from academia and practice who participated in Innovations in Insurance, Risk- and Asset Management, an international conference held at the Technical University of Munich in 2017.The topics covered include the mathematics of extreme risks, systemic risk, model uncertainty, interest rate and hybrid models, alternative investments, dynamic investment strategies, quantitative risk management, asset liability management, liability driven investments, and behavioral finance.This timely selection of topics is highly relevant for the financial industry and addresses current issues both from an academic as well as from a practitioner's point of view.

This volume presents a rigorous account of statistical forecasting efforts that led to the successful resolution of the Johns-Manville asbestos litigation. This case, taking 12 years to reach settlement, is expected to generate nearly 500,000 claims at a total nominal value of over $34 billion. The forecasting task, to project the number, timing, and nature of claims for asbestos-related injuries from a set of exposed persons of unknown size, is a general problem: 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 as a dangerous/defective product, this volume will be of interest in other product liability cases, as well as similar forecasting situations for a range of insurable or compensable events. The volume stresses 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 the volume addresses how these opposing principles can be reconciled. The volume is written for a broad audience of actuaries, biostatisticians, demographers, economists, epidemiologists, environmental health scientists, financial analysts, industrial-risk analysts, occumpational health analysts, product liability analysts, and statisticians. The modest prerequisites include basic concepts of statistics, calculus, and matrix algebra. Care is taken that readers without specialized knowledge in these areas can understand the rationale for specific applications of advanced methods. As a consequence, this volume will be an indispensable reference for all whose work involves these topics. Eric Stallard, A.S.A., M.A.A.A., is Research Professor and Associate Director of the Center for Demographic Studies at Duke University. He is a Member of the American Academy of Actuaries and an Associate of the Society of Actuaries. He serves on the American Academy of Actuaries Committees on Long Term Care and Social Insurance. He also serves on the society of Actuaries' Long Term Care Experience Committee. His research interests include modelling and forecasting for medical demography and health actuarial practice. He was the 1996 winner of the National Institute on Aging's James A. Shannon Director's Award. Kenneth G. Manton, Ph.D., is Research Professor, Research Director, and Director of the Center for Demographic Studies at Duke University and Medical Research Professor at Duke University Medical Center's Department of Community and Family Medicine. Dr. Manton is also a Senior Fellow of the Duke University Medical Center's Center for the Study of Aging and Human Development. His research interests include mathematical models of human aging, mortality, and chronic disease. He was the 1990 recipient of the Mindel C. Sheps Award in Mathematical Demography presented by the Population Association of America; and in 1991 he received the Allied-Signal Inc. Achievement Award in Aging administred by the Johns Hopkins Center on Aging. Joel E. Cohen, Ph.D., Dr. P.H., is Professor of Populations, and Head of the Laboratory of Populations, Rockefeller University. He also is Professor of Populations at Columbia University. His research interests include the demography, ecology, epidemiology, and social organization of human and non-human populations, and related mathematical concepts. In 1981, he was elected Fellow of the MacArthur and Guggenheim Foundations. He was the 1992 recipient of the Mindel C. Sheps Award in Mathematical Demography presented by the Population Association of America; and in 1994, he received the Distinguished Statistical Ecologist Award at the Sixth International Congress of Ecology.

This book is an important contribution to a question that has received little analysis hitherto, namely, what is and what are the effect(s) of the duties imposed on an insurer to provide information to prospective policyholders. As well as original analysis of English, German and prospective European law, and with insights from law and economics, it makes some key recommendations. It should be read by all academics, policymakers, professionals and regulators with an interest in insurance law.' - John Birds, University of Manchester, UK'The serious reader will find here a first class monograph, well-structured and scholarly, with a clear perspective on some important issues arising in the law of insurance contracts today.' - From the foreword by Malcolm A. Clarke, St John s College, Cambridge, UK Enabling informed choices with regards to mass risk insurance is an aim pursued for decades now at both the national and European level. This book explores the extent to which the imposing of disclosure duties on the insurer may actually contribute to this end and where it inevitably reaches limits. Convinced that information problems cannot be solved by exclusively focusing on their legal dimension, the author provides the reader with a helpful overview of economic and behavior-orientated insights to the book's subject. Proceeding from these, the existing legal frameworks in the UK and Germany are critically analyzed and compared to more recent academic proposals for a future European insurance contract law. All of this is continuously supplemented by specific proposals for improvement. This inspiring book will be of use to scholars dealing with financial law and general questions of information policy. Insurance companies and lawyers dealing with cases first-hand will also find this to be a resourceful read.

Dealing with all aspects of risk management that have undergone significant innovation in recent years, this book aims at being a reference work in its field. Different to other books on the topic, it addresses the challenges and opportunities facing the different risk management types in banks, insurance companies, and the corporate sector. Due to the rising volatility in the financial markets as well as political and operational risks affecting the business sector in general, capital adequacy rules are equally important for non-financial companies. For the banking sector, the book emphasizes the modifications implied by the Basel II proposal. The volume has been written for academics as well as practitioners, in particular finance specialists. It is unique in bringing together such a wide array of experts and correspondingly offers a complete coverage of recent developments in risk management.

As health care concerns grow in the U.S., medical anthropologist Linda M. Whiteford and social psychologist Larry G. Branch present their findings on a health care anomaly, from an unlikely source. Primary Health Care in Cuba examines the highly successful model of primary health care in Cuba following the 1959 Cuban Revolution. This model, developed during a time of dramatic social and political change, created a preventive care system to better provide equity access to health care. Cuba's recognition as a paragon of health care has earned praise from the World Health Organization, UNICEF, and the Pan American Health Organization. In this book, Whiteford and Branch explore the successes of Cuba's preventive primary health care system and its contribution to global health.

This book explores how a range of innovative disruptive technologies is about to combine to transform the insurance industry, the products it produces, and the way the industry is managed. It argues that unless current insurance providers react to these waves of disruption they will be swept away by new innovators. The book describes what insurers need to do to survive. The main aim is to get insurers to reimagine their industry away from the sale of a one-off product, into the sale of a series of real-time, data-based risk services. While parts of these disruptions have been discussed, this book is the first to bring all the issues together and unites them using a theoretical framework. This book is essential reading for insurance industry participants as well as to academics interested in insurance and understanding the key issues the industry currently faces.

All property and casualty insurers are required to carry out loss reserving as a statutory accounting function. Thus, loss reserving is an essential sphere of activity, and one with its own specialized body of knowledge. While few books have been devoted to the topic, the amount of published research literature on loss reserving has almost doubled in size during the last fifteen years. Greg Taylor's book aims to provide a comprehensive, state-of-the-art treatment of loss reserving that reflects contemporary research advances to date. Divided into two parts, the book covers both the conventional techniques widely used in practice, and more specialized loss reserving techniques employing stochastic models. Part I, Deterministic Models, covers very practical issues through the abundant use of numerical examples that fully develop the techniques under consideration. Part II, Stochastic Models, begins with a chapter that sets up the additional theoretical material needed to illustrate stochastic modeling. The remaining chapters in Part II are self-contained, and thus can be approached independently of each other. A special feature of the book is the use throughout of a single real life data set to illustrate the numerical examples and new techniques presented. The data set illustrates most of the difficult situations presented in actuarial practice. This book will meet the needs for a reference work as well as for a textbook on loss reserving.

A clear and accessible guide to finance, which provides the ideal introduction for the non-specialist. Packed with examples and case studies, the book features numerous real-world demonstrations of key concepts and ideas. This new edition includes coverage of ESG investing, a brand new chapter on digital currencies and electronic payments, and new case studies on sustainability versus profit maximization, environmental financing, socially responsible investing, the rise of fintech, the perils of cryptocurrency, global debt pressures and 'the rise of the South' in finance. The fourth edition will be supplemented by useful digital resources in the form of instructor PowerPoint slides and a testbank of questions for students.

China's current social medical insurance system has nominally covered more than 95 per cent of 1.4 billion population in China and is moving towards the ambitious goal of universal health insurance coverage. Challenges posed by a rapidly ageing population, an inherently discriminatory design of the health insurance system, the disorder of drug distribution system and an immature legal system constrain the Chinese government from realizing its goal of universal health insurance coverage in the long run. This book uses a refined version of historical institutionalism to critically examine China's pathway to universal health insurance coverage since the mid-1980s. It pays crucial attention to the processes of transforming China's healthcare financing system into the basic social medical insurance system alongside rapid socio-economic changes. Financing Healthcare in China will interest researchers and government and think-tank officials interested in the state of healthcare reforms in China. Healthcare specialists outside of East Asia may also be interested in its general study of healthcare in developing countries. Scholars and students interested in the healthcare field will also find this useful.

Insurance is an extraordinarily useful tool to manage risk. When it works as intended, it provides financial protection to individuals and a profitable business model for insurance firms and their investors. But it is broadly misunderstood by consumers, regulators, and insurance executives. This book looks at the behavior of individuals at risk, insurance industry decision makers, and policy makers at the local, state, and federal level involved in the selling, buying, and regulating of insurance. It compares their actions to those predicted by benchmark models of choice derived from classical economic theory. When actual choices stray from predictions, the behavior is considered to be anomalous. With considerable sums of money at stake, both in consumer premiums and insurance company payouts, it is important to understand the reasons for anomalous behavior. Howard Kunreuther, Mark Pauly, and Stacey McMorrow examine these anomalies through the lens of behavioral economics, which takes into account emotions, biases, and simplified decision rules. The authors then consider if and how such behavioral anomalies could be modified to improve individual and social welfare. This book is neither a defense of the insurance industry nor an attack on it. Neither is it a consumer guide to purchasing insurance, although the authors believe that consumers will benefit from the insights it contains. Rather, this book describes situations in which both public policy and the insurance industry s collective posture need to change. This may require incentives, rules, and institutions to help reduce both inefficient and anomalous behavior, thereby encouraging behavior that will improve individual and social welfare.

Originally published in 1979, The Investment Behaviour of British Life Insurance Companies provides a critical analysis of the investment policy of the life insurance industry for the period of 1962-76, and attempts to construct an econometric model of the investment behaviour. It looks at the portfolio composition of life funds and their position in the markets for securities in terms of their gross purchases and sales and net acquisitions. It also considers the principles on which life offices appear to operate the principles on which life offices appear to operate in respect of investing their 'reserves' to meet future contingent liabilities. This book will appeal to those working in the field of economic and business.

This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.

There is increasing pressure for all of us to take responsibility for our own financial security and wellbeing, but we often overlook how the benefits that come with a job can help us do that. Essential Personal Finance: A Practical Guide for Employees focuses on these valuable work benefits and shows how you can build on this important foundation to achieve financial security and your life goals. This unique book explores how making effective and practical use of these work benefits (such as pension scheme, life cover, sick pay, cheap loans, savings schemes and even financial coaching), means facing up to the behavioural biases we are all plagued with. Given that these can get in the way of even the best intentions, Essential Personal Finance tackles these biases head-on with practical ideas and tips for overcoming or harnessing them for good, and will help you to develop a positive and fruitful relationship with your money. With financial stress being a major cause of absenteeism and sick leave, low morale and lost productivity, the advice in this book also offers employers enormous benefits. By empowering employees through financial education and financial awareness, progressive employers will help them feel more in control of their lives, and experience less stress, resulting in higher morale and productivity. Offering a distinctive approach which combines academic insight with practical financial wisdom and tools, this is a must-have book for all employees. It will help you make the most of everything your job has to offer so you can worry less about money and live life to the full.

Canadian financial institutions have been in rapid change in the past five years. In response to these changes, the Department of Finance issued a discussion paper: The Regulation of Canadian Financial Institutions, in April 1985, and the government intends to introduce legislation in the fall. This paper studi.es the combinantion of financial institutions from the viewpoint of ruin probability. In risk theory developed to describe insurance companies [1,2,3,4,5J, the ruin probability of a company with initial reserve (capital) u is 6 1 -:;-7;;f3 u 1jJ(u) = H6 e H6 (1) Here,we assume that claims arrive as a Poisson process, and the claim amount is distributed as exponential distribution with expectation liS. 6 is the loading, i.e., premium charged is (1+6) times expected claims. Financial institutions are treated as "insurance companies": the difference between interest charged and interest paid is regarded as premiums, loan defaults are treated as claims.

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.

Foreword by Harvey V. Fineberg, President of the Institute of MedicineFor decades, experts have puzzled over why the US spends more on health care but suffers poorer outcomes than other industrialized nations. Now Elizabeth H. Bradley and Lauren A. Taylor marshal extensive research, including a comparative study of health care data from thirty countries, and get to the root of this paradox: We've left out of our tally the most impactful expenditures countries make to improve the health of their populations,investments in social services. In The American Health Care Paradox , Bradley and Taylor illuminate how narrow definitions of health care," archaic divisions in the distribution of health and social services, and our allergy to government programs combine to create needless suffering in individual lives, even as health care spending continues to soar. They show us how and why the US health care system" developed as it did examine the constraints on, and possibilities for, reform and profile inspiring new initiatives from around the world. Offering a unique and clarifying perspective on the problems the Affordable Care Act won't solve, this book also points a new way forward.

1. THE PROBLEM OF CATASTROPHE RISK The risk of large losses from natural disasters in the U.S. has significantly increased in recent years, straining private insurance markets and creating troublesome problems for disaster-prone areas. The threat of mega-catastrophes resulting from intense hurricanes or earthquakes striking major population centers has dramatically altered the insurance environment. Estimates of probable maximum losses (PMLs) to insurers from a mega catastrophe striking the U.S. range up to $100 billion depending on the location and intensity of the event (Applied Insurance Research, 2001).1 A severe disaster could have a significant financial impact on the industry (Cummins, Doherty, and Lo, 2002; Insurance Services Office, 1996a). Estimates of industry gross losses from the terrorist attack on September 11, 2001 range from $30 billion to $50 billion, and the attack's effect on insurance markets underscores the need to understand the dynamics of the supply of and the demand for insurance against extreme events, including natural disasters. Increased catastrophe risk poses difficult challenges for insurers, reinsurers, property owners and public officials (Kleindorfer and Kunreuther, 1999). The fundamental dilemma concerns insurers' ability to handle low-probability, high-consequence (LPHC) events, which generates a host of interrelated issues with respect to how the risk of such events are 1 These probable maximum loss (PML) estimates are based on a SOD-year "return" period."

An incisive framework for companies seeking to increase their resilience In The Black Swan Problem: Risk Management Strategies for a World of Wild Uncertainty, renowned risk and finance expert Hakan Jankensgard delivers an extraordinary and startling discussion of how firms should navigate a world of uncertainty and unexpected events. It examines three fundamental, high-level strategies for creating resilience in the face of "black swan" risks, highly unlikely but devastating events: insurance, buffering, and flexibility: The author also presents: Detailed case studies, stories, and examples of major firms that failed to anticipate Black Swan Problems and, as a result, were either wiped out or experienced a major strategy disruption Extending the usual academic focus on individual biases to analyze Swans from an organizational perspective and prime organizations to proactive rather than reactive action Practical applications and tactics to mitigate Black Swan risks and protect corporate strategies against catastrophic losses and the collateral damage that they cause Strategies and tools for turning Black Swan events into opportunities, reflecting the fact that resilience can be used for strategic advantage An expert blueprint for companies seeking to anticipate, mitigate, and process tail risks, The Black Swan Problem is a must-read for students and practitioners of risk management, executives, founders, managers, and other business leaders.

Can insurance be used as a means to obtain compliance with environmental policy? Answering this question requires examination of a broad mosaic of academic issues, including current systems available for providing compensation and deterrence, use of contracts (including insurance) as substitutes for tort law, limitations of regulatory policy-making by government agencies, pre-conditions for creation of insurance products, and market mechanisms necessary for insurance to be purchased or sold. The purpose of Managing Environmental Risk Through Insurance is to highlight the potential role that insurance and performance standards can play in managing environmental risk. Insurance can play a significant role in dealing with one of the most problematic issues facing society today - how to compensate for environmental exposures. This book analyzes the ability of insurance to play a role in managing environmental risk. It begins by outlining the role insurance plays in society in contrast to other societal tools for addressing risk: government benefit programs and imposition of involuntary liability using the court system. By so doing, the book describes the comparative advantages of insurance. The book then analyzes the insurability of the risks. Finally, the book applies the insurability analysis to three concrete environmental examples.

Enterprise Level Security 2: Advanced Topics in an Uncertain World follows on from the authors' first book on Enterprise Level Security (ELS), which covered the basic concepts of ELS and the discoveries made during the first eight years of its development. This book follows on from this to give a discussion of advanced topics and solutions, derived from 16 years of research, pilots, and operational trials in putting an enterprise system together. The chapters cover specific advanced topics derived from painful mistakes and numerous revisions of processes. This book covers many of the topics omitted from the first book including multi-factor authentication, cloud key management, enterprise change management, entity veracity, homomorphic computing, device management, mobile ad hoc, big data, mediation, and several other topics. The ELS model of enterprise security is endorsed by the Secretary of the Air Force for Air Force computing systems and is a candidate for DoD systems under the Joint Information Environment Program. The book is intended for enterprise IT architecture developers, application developers, and IT security professionals. This is a unique approach to end-to-end security and fills a niche in the market.

Poor people in developing countries are often affected by droughts, floods, illness, crop failure, job loss, and economic downturns. Much of their energy goes into coping with these shocks and into day-to-day survival. While insurance and credit markets, combined with widespread social security, provide an important cushion against poverty in rich countries, the need for immediate survival may lock the poor into persistent poverty in developing countries. The poor in developing countries do have informal mechanisms to cope with risk and misfortune. These are based on income diversification, risk avoidance, self-insurance by saving together with family, and community-based mutual assistance. Nevertheless, the scope of these mechanisms remains limited. Repeated individual-specific shocks such as illness or pests, or covariate risks associated with drought, flood, or recession, undermine the ability of individuals and their families to cope with risk. We now know much more about vulnerability to risk and how poor people cope. Even more importantly, we have learned much about the large long-term consequences of these risks, which condemns many to persistent poverty and excludes them from economic growth. But there is much that can be done. The micro-level studies that underpin this book offer new insights on how effective public action could be more effective in protecting the vulnerable against persistent poverty. Policy should focus on providing a comprehensive menu of ex-ante and post-crisis protection mechanisms, including new forms of insurance, savings, safety nets, and the means to strengthen the poor's asset base. Local communities have a big role to play: public funds should not be used to replace indigenous community-based support networks; rather they should be used to build on the strengths of these networks to ensure broader and more effective protection. With numerous thematic chapters and case studies of both best practice and of failure, from a mix of low-income and middle-income countries across the developing world, this book evaluates alternatives in widening insurance and protection provision, and makes an important contribution to the topical field of insurance and risk.

When the topic of death is a taboo subject to a population, how can life insurance companies create a market for their business? In Marketing Death, Cheris Shun-ching Chan examines the development of the life insurance market in China to address how culture impacts economic practice. Based on an extensive ethnographic study of various life insurance companies in China, Chan found a clear disparity in the way transnational and domestic life insurers dealt with local resistance to the idea of insuring against early death. While the transnational insurers attempted to remove this resistance by introducing new concepts about risk management, the locally-founded insurers redefined these concepts as money management to avoid the taboo subject. The domestic players' strategies proved to be more effective, but conflicted with the profit-oriented institutional logic of life insurance in the Chinese context. Having learned a lesson from significant losses, the domestic insurers eventually collaborated with their transnational counterparts to create a risk-management market. Nonetheless, local potential buyers, with their ingrained cultural values, continue to negotiate with insurance providers about their preferred product features. Chan argues that the life insurance business is growing rapidly in China despite these incompatible local cultural values largely because insurance practitioners strategically mobilized the local cultural tool-kit to circumvent the resistance. In Chan's account, the interplay of two forms of culture-a shared meaning system on one hand and a repertoire of strategies on the other-has significantly shaped the trajectory of the emergent Chinese market. Marketing Death is the first book to offer an analysis of the emergence of a life insurance market outside of the Euro-American context. It documents the processes and politics by which local cultures shape the way a market is formed and, hence, sheds light on the dynamics through which modern capitalist enterprises diffuse to regions with different cultural traditions.

A companion volume to Rogers's "Insurance in the Soviet Union" (Praeger Publishers, 1986), this new work provides an in-depth examination of the operations of insurance industries in eastern European socialist countries. Rogers covers the administrative structure of insurance programs, the types of policies written, the insurance markets, and the extent of insurance protection. These topics provide the background to his discussion of two important issues: the transition from private to public insurance in socialist countries and the influence of the Soviet Union. In the latter case, there is explicit recognition by Soviet writers that practices in Eastern Europe have resulted in modifications of Soviet practices.

This book traces the development and analyses the performance of life insurance industry in India, since inception of this sector, using different business indicators over the years. It discusses the evolution and changing features of the Indian insurance industry in 3 phases: phase I from 1818 to 1956, phase II from 1956 to 2000 (known as the nationalisation period) and phase III post 2000 (called the post reform period). The book also measures the relative efficiency and productivity of the life insurance industry in India for the post-reform period, by employing Data Envelopment Analysis (DEA). Despite the fact that the life insurance sector recorded a compound annual growth rate (CAGR) of 17% in terms of total premiums and 21% in terms of new business premium collections during the post reform period, the insurers continue to grapple with the issue of profitability. Against this background, the book presents results on the factors determining profitability of the life insurance companies using measures of efficiency and competition. By helping regulatory authorities determine the future course of action in the context of entry of foreign insurers and also in establishing a level playing field, the book has important policy implications.