This set gathers together key writings which chart the formative years of insurance and reviews important stages in the history of the subject from contemporary perspectives.

"International Dictionary of Insurance and Finance" is an efficient and useful book for business professionals, consumers, business students, insurance professionals, and corporate risk managers. All aspects of international insurance, including life, health, property, casualty, marine, disability, business interruption, copyright and trademark protection, and a host of other insurance topics, are covered. Arranged in an easy-to-use alphabetical format, the "Dictionary" provides definition, explanation, and illustration of each term. The "Dictionary" is also multi-disciplinary, covering a number of related terms in finance and investments.

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.

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are reprints the most important treatises, pamphlets, tables and writings which trace the development of the actuarial industry. An introductory essay traces the history of actuarial science and illumminates key texts. The themes covered include accountancy, annuities, compound interest, demography, investments, life contingencies, pensions, probability, sickness and tontines.

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are reprints of the most important treatises, pamphlets, tables and writings which trace the development of the actuarial industry.

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are reprints of the most important treatises, pamphlets, tables and writings which trace the development of the actuarial industry.

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are reprints of the most important treatises, pamphlets, tables and writings which trace the development of the actuarial industry.

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are reprints of the most important treatises, pamphlets, tables and writings which trace the development of the actuarial industry.

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are reprints of the most important treatises, pamphlets, tables and writings which trace the development of the actuarial industry.

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are reprints of the most important treatises, pamphlets, tables and writings which trace the development of the actuarial industry.

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are reprints of the most important treatises, pamphlets, tables and writings which trace the development of the actuarial industry.

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are reprints of the most important treatises, pamphlets, tables and writings which trace the development of the actuarial industry.

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.

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.

A powerful and path-breaking expose of America's Medical Industrial Complex-the network of mutually beneficial relationships between big business, academic medicine, patient advocacy organizations, hospitals, and government-and a compelling way forward for transforming America's healthcare system How has the United States, with more resources than any nation, developed a healthcare system that delivers much poorer results, at near double the cost of any other developed country-such that legendary seer Warren Buffett calls the Medical Industrial Complex "the tapeworm of American economic competitiveness"? Mike Magee, M.D., who worked for years inside the Medical Industrial Complex administering a hospital and then as a senior executive at the giant pharmaceutical company Pfizer, has spent the last decade deconstructing the complex, often shocking rise of, and connectivity between, the pillars of our health system-Big Pharma, insurance companies, hospitals, the American Medical Association, and anyone affiliated with them. With an eye first and foremost on the bottom line rather than on the nation's health, each sector has for decades embraced cure over care, aiming to conquer disease rather than concentrate on the cultural and social factors that determine health. This decision Magee calls the "original sin" of our health system. Code Blue is a riveting, character-driven narrative that draws back the curtain on the giant industry that consumes one out of every five American dollars. Making clear for the first time the mechanisms, greed, and collusion by which our medical system was built over the last eight decades-and arguing persuasively and urgently for the necessity of a single-payer, multi-plan insurance arena of the kind enjoyed by every other major developed nation-Mike Magee gives us invaluable perspective and inspiration by which we can, indeed, reshape the future.

Especially since the 2003 SARS crisis, China's healthcare system has become a growing source of concern, both for citizens and the Chinese government. China's once praised public health services have deteriorated into a system driven by economic constraints, in which poor people often fail to get access, and middle-income households risk to be dragged into poverty by the rising costs of care. The New Rural Co-operative Medical System (NRCMS) was introduced to counter these tendencies and constitutes the main system of public health insurance in China today. This book outlines the nature of the system, traces the processes of its enactment and implementation, and discusses its strengths and weaknesses. It argues that the contested nature of the fields of health policy and social security has long been overlooked, and reinterprets the NRCMS as a compromise between opposing political interests. Furthermore, it argues that structural institutional misfits facilitate fiscal imbalances and a culture of non-compliance in local health policy, which distort the outcomes of the implementation and limit the effectiveness of insurance. These dynamics also raise fundamental questions regarding the effectiveness of other areas of the comprehensive New Health Reform, which China has initiated to overhaul its healthcare system.

Government subsidized crop insurance has been used by a number of developed countries as a mechanism to reduce farm income instability by reducing yield risks. This book provides an in-depth analysis and evaluation of government provided crop insurance in developed countries. The book is organized into three sections: Part one presents background material on crop insurance programs in the U.S., Canada and selected other countries. Part two provides some analytical models of multiple peril crop insurance which suggest the possibility of modification of design which could improve performance and which explores theoretical linkages between crop insurance decisions and other producer decisions previously not analyzed. The main part of the book is Part three, where the results of a series of empirical studies using databases particularly designed to answer crop insurance questions are presented. This part of the book tests a number of the hypotheses which were raised in Parts one and two regarding reasons for the view widely held by economists that crop insurance has not functioned well.

In the mid-1960s geotechnical engineers paid the highest liability insurance of any profession and by 1969 were virtually uninsurable. As a result, the ASFE was founded and helped these engineers not only lower their insurance rates, but get to the point where, by 1980, they were the least liability-prone members of the design profession. Now, John Bachner and the ASFE tell all other design professionals how to accomplish the same task. This book, which incorporates the ASFE's Introduction to Professional Practice program for advancing architects' and engineers' knowledge of professional practice issues, addresses almost every aspect of the design professionals' practice as they relate to liability, from procedures for verifying the accuracy of technical output to steps for improving client and project selection, workscope development, personnel training and dispute resolution.

Can private health insurance fill gaps in publicly financed coverage? Does it enhance access to health care or improve efficiency in health service delivery? Will it provide fiscal relief for governments struggling to raise public revenue for health? This book examines the successes, failures and challenges of private health insurance globally through country case studies written by leading national experts. Each case study considers the role of history and politics in shaping private health insurance and determining its impact on health system performance. Despite great diversity in the size and functioning of markets for private health insurance, the book identifies clear patterns across countries, drawing out valuable lessons for policymakers while showing how history and politics have proved a persistent barrier to effective public policy. This title is also available as Open Access on Cambridge Core.

The relatively young theory of structured dependence between stochastic processes has many real-life applications in areas including finance, insurance, seismology, neuroscience, and genetics. With this monograph, the first to be devoted to the modeling of structured dependence between random processes, the authors not only meet the demand for a solid theoretical account but also develop a stochastic processes counterpart of the classical copula theory that exists for finite-dimensional random variables. Presenting both the technical aspects and the applications of the theory, this is a valuable reference for researchers and practitioners in the field, as well as for graduate students in pure and applied mathematics programs. Numerous theoretical examples are included, alongside examples of both current and potential applications, aimed at helping those who need to model structured dependence between dynamic random phenomena.

This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance. It simultaneously introduces the relevant tools for developing and analyzing neural networks, in a style that is mathematically rigorous yet accessible. Artificial intelligence and neural networks offer a powerful alternative to statistical methods for analyzing data. Various topics are covered from feed-forward networks to deep learning, such as Bayesian learning, boosting methods and Long Short Term Memory models. All methods are applied to claims, mortality or time-series forecasting. Requiring only a basic knowledge of statistics, this book is written for masters students in the actuarial sciences and for actuaries wishing to update their skills in machine learning. This is the third of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P&C, life and health insurance. Although closely related to the other two volumes, this volume can be read independently.

Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance. The book builds on students' existing knowledge of probability and statistics by establishing a solid and thorough understanding of these methods. It also emphasizes the wide variety of practical situations in insurance and actuarial science where these techniques may be used.

Although some chapters are linked, several can be studied independently from the others. The first chapter introduces claims reserving via the deterministic chain ladder technique. The next few chapters survey loss distributions, risk models in a fixed period of time, and surplus processes, followed by an examination of credibility theory in which collateral and sample information are brought together to provide reasonable methods of estimation. In the subsequent chapter, experience rating via no claim discount schemes for motor insurance provides an interesting application of Markov chain methods. The final chapters discuss generalized linear models and decision and game theory.

Developed by an author with many years of teaching experience, this text presents an accessible, sound foundation in both the theory and applications of actuarial science. It encourages students to use the statistical software package R to check examples and solve problems.

This book introduces ALM in the context of banks and insurance companies. Although this strategy has a core of fundamental frameworks, models may vary between banks and insurance companies because of the different risks and goals involved. The authors compare and contrast these methodologies to draw parallels between the commonalities and divergences of these two services and thereby provide a deeper understanding of ALM in general.

This work, now in a thoroughly revised second edition, presents the economic foundations of financial markets theory from a mathematically rigorous standpoint and offers a self-contained critical discussion based on empirical results. It is the only textbook on the subject to include more than two hundred exercises, with detailed solutions to selected exercises. Financial Markets Theory covers classical asset pricing theory in great detail, including utility theory, equilibrium theory, portfolio selection, mean-variance portfolio theory, CAPM, CCAPM, APT, and the Modigliani-Miller theorem. Starting from an analysis of the empirical evidence on the theory, the authors provide a discussion of the relevant literature, pointing out the main advances in classical asset pricing theory and the new approaches designed to address asset pricing puzzles and open problems (e.g., behavioral finance). Later chapters in the book contain more advanced material, including on the role of information in financial markets, non-classical preferences, noise traders and market microstructure. This textbook is aimed at graduate students in mathematical finance and financial economics, but also serves as a useful reference for practitioners working in insurance, banking, investment funds and financial consultancy. Introducing necessary tools from microeconomic theory, this book is highly accessible and completely self-contained. Advance praise for the second edition: "Financial Markets Theory is comprehensive, rigorous, and yet highly accessible. With their second edition, Barucci and Fontana have set an even higher standard!"Darrell Duffie, Dean Witter Distinguished Professor of Finance, Graduate School of Business, Stanford University "This comprehensive book is a great self-contained source for studying most major theoretical aspects of financial economics. What makes the book particularly useful is that it provides a lot of intuition, detailed discussions of empirical implications, a very thorough survey of the related literature, and many completely solved exercises. The second edition covers more ground and provides many more proofs, and it will be a handy addition to the library of every student or researcher in the field."Jaksa Cvitanic, Richard N. Merkin Professor of Mathematical Finance, Caltech "The second edition of Financial Markets Theory by Barucci and Fontana is a superb achievement that knits together all aspects of modern finance theory, including financial markets microstructure, in a consistent and self-contained framework. Many exercises, together with their detailed solutions, make this book indispensable for serious students in finance."Michel Crouhy, Head of Research and Development, NATIXIS

Now in its fifth edition, this book offers a detailed yet concise introduction to the growing field of statistical applications in finance. The reader will learn the basic methods for evaluating option contracts, analyzing financial time series, selecting portfolios and managing risks based on realistic assumptions about market behavior. The focus is both on the fundamentals of mathematical finance and financial time series analysis, and on applications to specific problems concerning financial markets, thus making the book the ideal basis for lectures, seminars and crash courses on the topic. All numerical calculations are transparent and reproducible using quantlets. For this new edition the book has been updated and extensively revised and now includes several new aspects such as neural networks, deep learning, and crypto-currencies. Both R and Matlab code, together with the data, can be downloaded from the book's product page and the Quantlet platform. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allow readers to reproduce the tables, pictures and calculations inside this Springer book. "This book provides an excellent introduction to the tools from probability and statistics necessary to analyze financial data. Clearly written and accessible, it will be very useful to students and practitioners alike." Yacine Ait-Sahalia, Otto Hack 1903 Professor of Finance and Economics, Princeton University