Actuarial thinking is everywhere in contemporary America, an often unnoticed byproduct of the postwar insurance industry's political and economic influence. Calculations of risk permeate our institutions, influencing how we understand and manage crime, education, medicine, finance, and other social issues. Caley Horan's remarkable book charts the social and economic power of private insurers since 1945, arguing that these institutions' actuarial practices played a crucial and unexplored role in insinuating the social, political, and economic frameworks of neoliberalism into everyday life. Analyzing insurance marketing, consumption, investment, and regulation, Horan asserts that postwar America's obsession with safety and security fueled the exponential expansion of the insurance industry and the growing importance of risk management in other fields. Horan shows that the rise and dissemination of neoliberal values did not happen on its own: they were the result of a project to unsocialize risk, shrinking the state's commitment to providing support, and heaping burdens upon the people often least capable of bearing them. Insurance Era is a sharply researched and fiercely written account of how and why private insurance and its actuarial market logic came to be so deeply lodged in American visions of social welfare.

Environmental sustainability is perhaps the key societal challenge of our times. Achieving it will require a significant level of financing and investment, and here the role of the banking industry is fundamental. Banks can play a broader and far-reaching role by adopting environmental concerns in their internal and external business operations. Principles of Green Banking is a comprehensive account of the different aspects of green banking and offers theories and principles as well as practical how-to guidelines to adopt green banking practices. This book discusses why green banking is central to achieving sustainable development. It illustrates the evolution of green banking around the world, different types of environmental risks created by firms and how these risks offer threats to sustain ability, and ongoing trends and patterns of green banking practice. Critically, it also presents an outline of the regulatory framework necessary to help the entire banking sector adapt to the change towards green banking. It is a valuable resource for financial sector professionals and scholars in the fields of sustainable finance and banking.

The second edition of this successful text and reference presents an updated, comprehensive overview of UK and international actuarial practice and models. It offers greater worldwide appeal and application by incorporating international terminology and EU and US examples and comparisons throughout. It also features a new section on health and disability insurance, including chapters on long-term care, critical illness, income protection, and private medical insurance. The authors also provide Web-based material such as exam questions, exercises, software, references, and case studies. The new edition is an essential reference for actuaries, students, and insurance and investment statisticians.

This book sets out in a clear and concise manner the central principles of insurance law in the Caribbean, guiding students through the complexities of the subject. This book features, among several other key themes, extensive coverage of: insurance regulation; life insurance; property insurance; contract formation; intermediaries; the claims procedure; and analysis of the substantive laws of several jurisdictions. Commonwealth Caribbean Insurance Law is essential reading for LLB students in Caribbean universities, students in CAPE Law courses, and practitioners.

The focus of this book is on the two major areas of risk theory: aggregate claims distributions and ruin theory. For aggregate claims distributions, detailed descriptions are given of recursive techniques that can be used in the individual and collective risk models. For the collective model, the book discusses different classes of counting distribution, and presents recursion schemes for probability functions and moments. For the individual model, the book illustrates the three most commonly applied techniques. Beyond the classical topics in ruin theory, this new edition features an expanded section covering time of ruin problems, Gerber-Shiu functions, and the application of De Vylder approximations. Suitable for a first course in insurance risk theory and extensively classroom tested, the book is accessible to readers with a solid understanding of basic probability. Numerous worked examples are included and each chapter concludes with exercises for which complete solutions are provided.

Kidnap for ransom is a lucrative but tricky business. Millions of people live, travel, and work in areas with significant kidnap risks, yet kidnaps of foreign workers, local VIPs, and tourists are surprisingly rare and the vast majority of abductions are peacefully resolved - often for remarkably low ransoms. In fact, the market for hostages is so well ordered that the crime is insurable. This is a puzzle: ransoming a hostage is the world's most precarious trade. What would be the "right" price for your loved one - and can you avoid putting others at risk by paying it? What prevents criminals from maltreating hostages? How do you (safely) pay a ransom? And why would kidnappers release a potential future witness after receiving their money? Kidnap: Inside the Ransom Business uncovers how a group of insurers at Lloyd's of London have solved these thorny problems for their customers. Based on interviews with industry insiders (from both sides), as well as hostage stakeholders, it uncovers an intricate and powerful private governance system ordering transactions between the legal and the criminal economies.

This is the seventh edition of a book long acclaimed by educators, students, and professional insurance people as an excellent source for definitions of insurance terms. The brief, succinct entries explain the meaning of words and phrases concerned with all fields of insurance-life, health, property, liability, marine, pension, surety, social, real estate, and municipal and federal regulating agencies. The more commonly used abbreviations, together with their meanings, are located at the beginning of each alphabetically ordered section. This revised edition has been expanded to include six hundred new terms in all fields, but principally in real estate insurance. It also contains a newly updated section of separate directories which gives the addresses of state insurance commissioners and organizations related to the insurance industry.

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.

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, this book builds from elementary models for risk to more sophisticated, dynamic models for risks that evolve over time. A comprehensive introduction to simulation modeling and analysis for risk management, it gives you the tools to better assess and manage the impact of risk in your organizations. The book can also serve as a support reference for readers preparing for CFA exams, GARP FRM exams, PRMIA PRM exams, and actuarial exams.

RISK IS UNCERTAINTY AS TO LOSS... RISK IS OMNIPRESENT AND ALL PERVASIVE... INSURANCE PROTECTS AGAINST THE ECONOMIC LOSS CAUSED BY RISK This book provides an actionable approach to the functions of the insurance industry in an easy to use examination of property, liability, life and health insurance coverages plus information on the basics of a risk management program.

Since the end of the eighteenth century, the insurance industry has cast a safety net around the world, first in the British Isles and then further afield, irrespective of cultural, political and ideological divides. Unlike previous publications on insurance history, which tend to discuss the development of national markets or individual companies, this book focuses on the creation of networks across borders from the end of the eighteenth century to the present day.
Distinguished international economic historians draw upon examples from twenty countries across the continents to demonstrate how what was called the 'British system' of risk management spread out in waves, and describes the forces that made this possible--first among them migration from Europe and international trade. The book explores the economic, political, religious, and cultural obstacles that blocked the path of this European invention--not only religious law and traditional practices, but above all protectionism, inflation, and political ideologies. It examines the process of transformation through which modern insurance supplanted traditional forms of protection against perils and risks and was able to keep on offering new ways of dealing with the risks of modern life. As well as discussing primary insurance, it also considers the role played by reinsurance, without which the losses arising out of today's natural and man-made disasters would be immeasurably greater. Finally, taking modern-day disaster scenarios as examples, the book shows just what the limits of insurability are and what risks worldwide networks entail.

This book will be a "must" for people who want good knowledge of big data concepts and their applications in the real world, particularly in the field of insurance. It will be useful to people working in finance and to masters students using big data tools. The authors present the bases of big data: data analysis methods, learning processes, application to insurance and position within the insurance market. Individual chapters a will be written by well-known authors in this field.

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.

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.

Mortality improvements, uncertainty in future mortality trends and the relevant impact on life annuities and pension plans constitute important topics in the field of actuarial mathematics and life insurance techniques. In particular, actuarial calculations concerning pensions, life annuities and other living benefits (provided, for example, by long-term care insurance products and whole life sickness covers) are based on survival probabilities which necessarily extend over a long time horizon. In order to avoid underestimation of the related liabilities, the insurance company (or the pension plan) must adopt an appropriate forecast of future mortality.
Great attention is currently being devoted to the management of life annuity portfolios, both from a theoretical and a practical point of view, because of the growing importance of annuity benefits paid by private pension schemes. In particular, the progressive shift from defined benefit to defined contribution pension schemes has increased the interest in life annuities with a guaranteed annual amount.
This book provides a comprehensive and detailed description of methods for projecting mortality, and an extensive introduction to some important issues concerning longevity risk in the area of life annuities and pension benefits. It relies on research work carried out by the authors, as well as on a wide teaching experience and in CPD (Continuing Professional Development) initiatives. The following topics are dealt with: life annuities in the framework of post-retirement income strategies; the basic mortality model; recent mortality trends that have been experienced; general features of projection models; discussion of stochastic projection models, with numerical illustrations; measuring and managing longevity risk.

This book encourages insurance companies and regulators to explore offering Islamic insurance to boost the insurance industry in India. The distinctive features of Takaful also make it appealing even to non-Muslims. According to the 2012 World Takaful Report, India has immense potential for Takaful is based on the size of its Muslim population and the growth of its economy. However, it is surprising that Takaful has yet to be introduced in India since it has been offered in non-majority Muslim countries, such as Singapore, Thailand, and Sri Lanka. When the concept and practice of Takaful are examined, it is free from interest, uncertainty, and gambling. These are the main elements prohibited in Islam. However, it has been evidenced that these elements are also banned in teaching other religions believed by the Indians. Given this landscape, this book fills the gap in research on the viability of Takaful in India, focusing on its empirical aspects by examining the perception of Indian insurance operators toward Takaful.

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.

The market is like the sea: it gives, and it takes away. That became apparent once again when the economy and society went into "lockdown" due to the coronavirus outbreak. Organizations will either sink or swim, and only the pros will be able to keep their heads above water. This is a self-help book for managers, supervisors and administrators who see themselves as skippers at the helm of an organization in times of turbulence, uncertainty and complexity. It provides a number of the latest handy management models, such as the Three-Phase Model, Governance Model and Management Matrix, which help leaders and managers arrive at well thought-out risk management decisions. In addition, the practical cases and discussion questions in each chapter help readers implement these models in their organizations. The book is an English translation of the Dutch book 'Varen in de mist', which was nominated for the Dutch Management Book of the Year.

This book, the second one of three volumes, gives practical examples by a number of use cases showing how to take first steps in the digital journey of banks and insurance companies. The angle shifts over the volumes from a business-driven approach in "Disruption and DNA" to a strong technical focus in "Data Storage, Processing and Analysis", leaving "Digitalization and Machine Learning Applications" with the business and technical aspects in-between. This second volume mainly emphasizes use cases as well as the methods and technologies applied to drive digital transformation (such as processes, leveraging computational power and machine learning models).

This book sets out in a clear and concise manner the central principles of insurance law in the Caribbean, guiding students through the complexities of the subject. This book features, among several other key themes, extensive coverage of: insurance regulation; life insurance; property insurance; contract formation; intermediaries; the claims procedure; and analysis of the substantive laws of several jurisdictions. Commonwealth Caribbean Insurance Law is essential reading for LLB students in Caribbean universities, students in CAPE Law courses, and practitioners.