THE COST OF IGNORANCE is a riveting novella by business insurance veteran Robert Phelan.The story punctures confusing insurance jargon and introduces a powerful new concept for middle-market companies: a little-known form of insurance known as Performance-Based Insurance (PBI) costs less and can save a company millions of dollars over time. The tale is told through the misadventures of Timothy Franculli, owner of a wholesale manufacturing company that is about to go broke because of escalating liability and health insurance costs. Timothy attends a conference in San Francisco where he runs into an old friend and learns about PBI, a type of insurance that could save his struggling company hundreds of thousands of dollars per year. But there is a catch. Typically, in order to qualify for PBI, a company must have a strong safety culture where worker injuries and accidents are controlled and reasonably predictable. Franculli has a lot of catching up to do after a series of employee injuries the year before caused his worker s compensation premiums to skyrocket 40 percent.

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.

An indispensable survival guide for high-net-worth individuals and their advisors If you're like most high-net-worth individuals nowadays, you are underinsured, over-targeted in litigation, and dangerously exposed to risks that can profoundly jeopardize your lifestyle and rob you and your family of what they ve worked so hard to achieve. Don't risk it all for lack of basic knowledge. Read Wealth Exposed and get the practical guidance and real-world solutions you need to protect your hard-earned assets. Written by a leading national risk management expert with extensive experience advising high-net-worth individuals, Wealth Exposed alerts you to the full range of risks to which high-net-worth individuals are exposed, while schooling you in your risk management ABCs. Designed for high-net-worth individuals, their CPAs, attorneys, family office managers, and others, Wealth Exposed arms you with the knowledge and tools you need to protect yourself, or your clients, from mayhem. * Provides a framework for creating a comprehensive personal risk management strategy * Contains numerous real-life anecdotes and case studies drawn from the author's case files * Discusses insurance solutions for property, cars, jewelry, aircraft, watercraft, wine, cars, and more Read Wealth Exposed and find out what you need to know to protect your assets from risk and secure your peace of mind.

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 should be on the shelf in EVERY home. This book should be in EVERY automobile glove box. Do you carry a spare tire in the trunk of your car? Do you have jumper cables in your car? Do you have a toolbox at home? Ever bought a book that showed you how to fix something? Do you own a first aid kit? Do you have a fire extinguisher or smoke alarms in your home? Why would you do ANY of those things? ANSWER: So you are prepared BEFORE something happens to you. READ THIS BOOK BEFORE SOMETHING BAD HAPPENS TO YOU READ THIS BOOK AFTER SOMETHING BAD HAPPENS TO YOU TO KEEP IT FROM GETTING WORSE

If your goal is to pass your insurance test the first time without the hassle of big thick study books, the Crop Insurance, Iowa License Exam Manual is right for you. Every effort has been made to reduce the number of pages necessary to pass the test. The fresh format has smaller bites of information. Each exam topic is followed by multiple choice questions to reinforce your learning. Designed to stand alone or be used as a supplement, this easy to read manual is complete with a table of contents, insurance text, over 150 multiple choice practice questions, study tips and test taking tips. You will learn the exam topics needed to successfully pass your insurance test: general terms and concepts, crop hail insurance, multiple peril insurance, plans of insurance and Iowa laws, rules and regulations pertinent to crop insurance.

Praise for Endowment Building

"This comprehensive work shows how endowments can provide multiple opportunities for donor involvement when the solicitation program is well designed and integrated with other fund development and program goals. Emphasizing the critical ethical issues inherent in marketing and structuring endowment gifts, it is an excellent reference manual and training guide."
--Joanne Scanlan, PhD, Senior Vice President for Professional Development Council on Foundations, Washington, D.C.

"Endowment Building provides both practical, hands-on advice and a philosophical, inspirational framework to guide novice and experienced mission-based organizations. Given the demographic opportunities and challenges facing the nonprofit world, this book is a must-read."
--Nancy Herrold Strapp, Executive Vice President and Chief Development Officer Buckhorn Children & Family Services, Louisville, Kentucky

"A comprehensive guide on how to start, grow, and maintain an endowment. It shows how to put theory into practice with numerous real-life examples and success stories."
--Joe Bull, Director of Planned Giving, The Ohio State University, Columbus, Ohio

"After you read this book, you will know what to do and how to do it. It is a wonderful tool for new and emerging community foundations!"
--Kay M. Marquet, President and CEO, Community Foundation Sonoma County, California

"Endowment Building is an insightful, succinct, easy-to-read resource on building successful endowment programs. It's a well-organized guide containing practical suggestions and reminders of things development professionals know but some-times forget."
--Jeff W. Smith, Vice President andTrust Counsel, Baptist Foundation of Texas, Dallas

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.

Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used to gain a competitive advantage in situations with complex data. Volume 2 examines applications of predictive modeling. Where Volume 1 developed the foundations of predictive modeling, Volume 2 explores practical uses for techniques, focusing on property and casualty insurance. Readers are exposed to a variety of techniques in concrete, real-life contexts that demonstrate their value and the overall value of predictive modeling, for seasoned practicing analysts as well as those just starting out.

In recent years, the damage caused by natural disasters has increased worldwide; this trend will only continue with the impact of climate change. Despite this, the role for the most common mechanism for managing risk - insurance - has received little attention. This book considers the contribution that insurance arrangements can make to society's management of the risks of natural hazards in a changing climate. It also looks at the potential impacts of climate change on the insurance sector, and insurers' responses to climate change. The author combines theory with evidence from the rich experiences of the Netherlands together with examples from around the world. He recognises the role of the individual in preparing for disasters, as well as the difficulties individuals have in understanding and dealing with infrequent risks. Written in plain language, this book will appeal to researchers and policy-makers alike.

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 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.

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.

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.

Insurance Economics brings together the economic analysis of decision making under risk, risk management and demand for insurance among individuals and corporations, objectives pursued and management tools used by insurance companies, the regulation of insurance, and the division of labor between private and social insurance. Appropriate both for advanced undergraduate and graduate students of economics, management, and finance, this text provides the background required to understand current research. Predictions derived from theoretical arguments are not merely stated, but also related to empirical evidence. Throughout the book, conclusions summarize key results, helping readers to check their knowledge and comprehension. Issues discussed include paradoxes in decision making under risk and attempts at their resolution, moral hazard and adverse selection including the possibility of a "death spiral", and future challenges to both private and social insurance such as globalization and the availability of genetic information. This second edition has been extensively revised. Most importantly, substantial content has been added to represent the evolution of risk-related research. A new chapter, Insurance Demand II: Nontraditional Approaches, provides a timely addition in view of recent developments in risk theory and insurance. Previous discussions of Enterprise Risk Management, long-term care insurance, adverse selection, and moral hazard have all been updated. In an effort to expand the global reach of the text, evidence and research from the U.S. and China have also been added.

Predictive modeling involves the use of data to forecast future events. It relies on capturing relationships between explanatory variables and the predicted variables from past occurrences and exploiting this to predict future outcomes. Forecasting future financial events is a core actuarial skill actuaries routinely apply predictive-modeling techniques in insurance and other risk-management applications. This book is for actuaries and other financial analysts who are developing their expertise in statistics and wish to become familiar with concrete examples of predictive modeling. The book also addresses the needs of more seasoned practicing analysts who would like an overview of advanced statistical topics that are particularly relevant in actuarial practice. Predictive Modeling Applications in Actuarial Science emphasizes life-long learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used by analysts to gain a competitive advantage in situations with complex data."

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.

In recent years, the damage caused by natural disasters has increased worldwide; this trend will only continue with the impact of climate change. Despite this, the role for the most common mechanism for managing risk - insurance - has received little attention. This book considers the contribution that insurance arrangements can make to society's management of the risks of natural hazards in a changing climate. It also looks at the potential impacts of climate change on the insurance sector, and insurers' responses to climate change. The author combines theory with evidence from the rich experiences of the Netherlands together with examples from around the world. He recognises the role of the individual in preparing for disasters, as well as the difficulties individuals have in understanding and dealing with infrequent risks. Written in plain language, this book will appeal to researchers and policy-makers alike.

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."

This book examines the challenges for the life insurance sector in Europe arising from new technologies, socio-cultural and demographic trends, and the financial crisis. It presents theoretical and applied research in all areas related to life insurance products and markets, and explores future determinants of the insurance industry's development by highlighting novel solutions in insurance supervision and trends in consumer protection. Drawing on their academic and practical expertise, the contributors identify problems relating to risk analysis and evaluation, demographic challenges, consumer protection, product distribution, mortality risk modeling, applications of life insurance in contemporary pension systems, financial stability and solvency of life insurers. They also examine the impact of population aging on life insurance markets and the role of digitalization. Lastly, based on an analysis of early experiences with the implementation of the Solvency II system, the book provides policy recommendations for the development of life insurance in Europe.