Macroprudential policies, tools and supervision have become important since the last financial crisis. This book addresses general and methodological issues and provides a framework for the analysis of macroprudential policies and supervision in insurance. It focuses on policy related issues and global level aspects of macroprudential in insurance.

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.

If you are ready for simple explanations, practical solutions, and time-tested strategies that will reap huge savings in insurance costs, then Hide Here Comes the Insurance Guy is here to help Rick Vassar, a certified expert in the commercial insurance arena, writes from a risk manager's perspective as he tackles the often confusing field of commercial insurance with his real numbers, real solutions strategy. Developed not just as an initial learning tool but also as an ongoing resource for experienced managers as well as the uninitiated, this simple guide will help busy executives and business owners reduce expenses in their current programs. Vassar will teach you four distinct steps for controlling your insurance costs: Understand the language and the process Know the players and how to better manage the process Develop a strategy and a plan to maximize coverage for minimal cost Invest the time and gain real financial benefits With a fresh perspective, this guidebook provides insight into an industry that is constantly evolving, and it shows how you can potentially save your company millions of dollars in insurance costs

Changes in production processes reflect the technological advances permeat ing our products and services. U. S. industry is modernizing and automating. In parallel, direct labor is fading as the primary cost driver while engineering and technology related cost elements loom ever larger. Traditional, labor-based ap proaches to estimating costs are losing their relevance. Old methods require aug mentation with new estimating tools and techniques that capture the emerging environment. This volume represents one of many responses to this challenge by the cost analysis profession. The Institute of Cost Analysis (lCA) is dedicated to improving the effective ness of cost and price analysis and enhancing the professional competence of its members. We encourage and promote exchange of research findings and appli cations between the academic community and cost professionals in industry and government. The 1990 National Meeting in Los Angeles, jointly spo sored by ICA and the National Estimating Society (NES), provides such a forum. Presen tations will focus on new and improved tools and techniques of cost analysis. This volume is the second in a series. The first was produced in conjunction with the 1989 National Meeting of ICA/NES in Washington, D.C. The articles in this volume, all refereed, were selected from about 100 submitted for presen tation at the Los Angeles meeting."

Confronted with the continuing cost expansion in the health care sector, policy makers face a dilemma: limiting moral hazard in medical care requires that consumers participate in the cost, yet copayment is strongly resisted by today's socially insured. Thus, the experiences of three private German health insurers will be of interest to physicians, social scientists, and policy makers. Insurer A writes conventional plans with deductibles and coinsurance; B pays back three-monthly premiums as a fixed rebate for no claims; while C runs an experience-rated bonus system starting with a rebate of three-monthly premiums for the first year without a claim, reaching a maximum of five after three years. While both rebates and bonuses are quite popular among insureds, this study shows that bonus options are particularly effective in limiting the demand for ambulatory and even hospital care. But what about adverse effects on health caused by the desire to save one's bonus? On this issue, there is some surprising evidence.

This book examines interesting new topics in applied economics from the perspectives of the economics of information and risk, two fields of economics that address the consequences of asymmetric information, environmental risk and uncertainty for the nature and efficiency of interactions between individuals and organizations. In the economics of information, the essential task is to examine the condition of asymmetric information under which the information gap is exploited. For the economics of risk, it is important to investigate types of behavior including risk aversion, risk sharing, and risk prevention, and to reexamine the classical expected utility approach and the relationships among several types of the changes in risk. Few books have ever analyzed topics in applied economics with regard to information and risk. This book provides a comprehensive collection of applied analyses, while also revisiting certain basic concepts in the economics of information and risk. The book consists of two parts. In Part I, several aspects of applied economics are investigated, including public policy, labor economics, and political economics, from the standpoint of the economics of (asymmetric) information. First, several basic frameworks of the incentive mechanism with regard to transaction-specific investment are assessed, then various tools for market design and organization design are explored. In Part II, mathematical measures of risk and risk aversion are examined in more detail, and readers are introduced to stochastic selection rules governing choice behavior under uncertainty. Several types of change in the random variable for the cumulative distribution function (CDF) and probability distribution function (PDF) are discussed. In closing, the part investigates the comparative static results of these changes in CDF or PDF on the general decision model, incorporating uncertain situations in applied economics.

This collection critically explores the use of financial technology (FinTech) and artificial intelligence (AI) in the financial sector and discusses effective regulation and the prevention of crime. Focusing on crypto-assets, InsureTech and the digitisation of financial dispute resolution, the book examines the strategic and ethical aspects of incorporating AI into the financial sector. The volume adopts a comparative legal approach to: critically evaluate the strategic and ethical benefits and challenges of AI in the financial sector; critically analyse the role, values and challenges of FinTech in society; make recommendations on protecting vulnerable customers without restricting financial innovation; and to make recommendations on effective regulation and prevention of crime in these areas. The book will be of interest to teachers and students of banking and financial regulation related modules, researchers in computer science, corporate governance, and business and economics. It will also be a valuable resource for policy makers including government departments, law enforcement agencies, financial regulatory agencies, people employed within the financial services sector, and professional services such as law, and technology.

Statistics published by the U. S. Department of Commerce (1980) indicate that in 1977 we spent 8. 1% of our gross national product (GNP) on life, health, property-casualty, and other forms of insurance. An additional 5. 7% was used to pay the Social Security tax, which is another form of insurance premium, for a total of 14. 8% of the GNP. \ Although insurance had its historical origin in marine insurance, it has now developed into one of the major industries of the American economy and extends into many areas of economic activity. One area where growth has been particularly strong is the medical sector. Health insurance is a major institution in all industrialized countries. It became a government responsibility in 1883 when Bismarck intro duced a compulsory program of health insurance for industrial workers in Germany. Programs for workers in various industrial and income categories soon followed in other European countries-Austria (1888), Hungary (1891), Norway (1909), Servia (1910), Great Britain (1911), and Russia and Romania (1912) (Rubinow, 1913:250). Programs in these countries were extended in subsequent years, and other countries in Europe followed with their own programs. Consequently, today most industrial countries have universal or near-universal health insurance coverage. In the United States the issue of national health insurance has been seriously debated since just prior to World War I, and polling data since the 1930s show that a substantial majority of the public has been supportive of such a program (Erskine, 1975)."

The First International Conference on Insurance Solvency was held at the Wharton School, University of Pennsylvania from June 18th through June 20th, 1986. The conference was the inaugural event for Wharton's Center for Research on Risk and Insurance. In atten dance were thirty-nine representatives from Australia, Canada, France, Germany, Israel, the United Kingdom, and the United States. The papers presented at the Conference are published in two volumes, this book and a companion volume, Classical Insurance Solvency Theory, J. D. Cummins and R. A. Derrig, eds. (Norwell, MA: Kluwer Academic Publishers, 1988). The first volume presented two papers reflecting important advances in actuarial solvency theory. The current volume goes beyond the actuarial approach to encom pass papers applying the insights and techniques of financial economics. The papers fall into two groups. The first group con sists of papers that adopt an essentially actuarial or statistical ap proach to solvency modelling. These papers represent methodology advances over prior efforts at operational modelling of insurance companies. The emphasis is on cash flow analysis and many of the models incorporate investment income, inflation, taxation, and other economic variables. The papers in second group bring financial economics to bear on various aspects of solvency analysis. These papers discuss insurance applications of asset pricing models, capital structure theory, and the economic theory of agency."

This study investigates the complex link between natural disasters, individual behaviour - in the form of an individual's risk-taking propensity and level of trust - and the demand for microinsurance. Developing countries are particularly vulnerable to the impacts of natural hazards and climate change as they affect their development processes and set back poverty reduction efforts. Using a unique data set for rural Cambodia based on a survey, experimental games and a discrete choice experiment, the study highlights the importance of perceptions, expectations and psychological factors in decision-making processes with substantial consequences for long-term economic perspectives and poverty alleviation.

This is an analysis of the increasing convergence of banking and insurance in the retail area, a trend often referred to as bancassurance. In the first part of the book, industry- and firm-level characteristics which contribute to the increasing level of cross-industry penetration in the banking and insurance sector are analyzed. The second part of the book provides an account of banks' entry strategies into insurance. It focuses on identifying the key factors which determine whether or not entry will be successful. The book includes case studies of particular banks. provides an account of banks' entry strategies into insurance.

A comprehensive guide designed to help consumers understand the American health insurance system so that they can obtain the benefits to which they are entitled. Epstein explains the ins and outs of both new and traditional health insurance plans, including traditional individual and group policies, HMOs and other types of managed care plans, self-funded plans, Medicare, Medicare HMOs, Medigap, long-term care, COBRA, CHAMPUS, and Medical Savings Accounts.

Written by a nationally syndicated columnist, this useful volume also deals with special health insurance issues related to children, adults with special needs, and individuals who may need long-term care. In addition, Epstein provides valuable information for individuals who are in the process of changing jobs or making changes in their marital or family status, choosing a health insurance plan, or arranging long-term care--including placement in a nursing home or an assisted-living facility--for an aging parent. The book has a practical focus with a variety of tables and worksheets to help consumers establish a system for preventing health insurance problems, and for dealing with any health insurance problems that may arise. It also contains answers to common questions about health insurance, and provides a list of organizations that offer detailed information and advice in regard to specific health insurance problems.

The growth of Islamic finance today is undeniable given its services, product innovation, performance and achievements, with the Islamic insurance market being no exception; it has retained global market recognition in a parallel platform as Islamic finance moves forward. There is much written regarding the Islamic insurance system, but rarely do researchers present the various Islamic insurance products and their structures in one collective place. This book is a timely addition in meeting contemporary market demands by providing a much-needed overview of the Islamic insurance products and their Shari'ah compliant structures. This book would be of interest to academics, researchers, students and professionals who are seeking to understand the products offered.

The digital transformation of finance and banking enables traditional services to be delivered in a more effective and efficient way but, at the same time, presents crucial issues such as fast growing new asset classes, new currencies, datafication and data privacy, algorithmization of law and regulation and, last but not least, new models of financial crime. This book approaches the evolution of digital finance from a business perspective and in a holistic way, providing cutting-edge knowledge of how the digital financial system works in its three main domains: banking, insurance and capital markets. It offers a bird's eye view of the major issues and developments in these individual sectors. The book begins by examining the wider framework of the subsequent analysis and over the next three parts, discusses the opportunities, risks and challenges facing the digitalization of these individual financial subsectors, highlighting the similarities and differences in their digitalization agenda, as well as the existing linkages and dependencies among them. The book clarifies the strategic issues facing the development of digital finance in these major subsectors over the coming years. The book has three key messages: that digital transformation changes fundamentally the way financial businesses operate; that individual trades have their own digitalization agenda; and that the State with its regulatory power and central banking and money has a particularly important role to play. It will be of interest to scholars, students and researchers of finance and banking, as well as policymakers wishing to understand the values and limitations of new forms of digital money.

The cooperation and contamination among mathematicians, statisticians and econometricians working in actuarial sciences and finance are improving the research on these topics and producing numerous meaningful scientific results. This volume presents new ideas in the form of four- to six-page papers presented at the International Conference MAF2022 - Mathematical and Statistical Methods for Actuarial Sciences and Finance. Due to the COVID-19 pandemic, the conference, to which this book is related, was organized in a hybrid form by the Department of Economics and Statistics of the University of Salerno, with the partnership of the Department of Economics of Ca Foscari University of Venice, and was held from 20 to 22 April 2022 in Salerno (Italy) MAF2022 is the tenth edition of an international biennial series of scientific meetings, started in 2004 on the initiative of the Department of Economics and Statistics of the University of Salerno. It has established itself internationally with gradual and continuous growth and scientific enrichment. The effectiveness of this idea has been proven by the wide participation in all the editions, which have been held in Salerno (2004, 2006, 2010, 2014, 2022), Venice (2008, 2012 and 2020 online), Paris (2016) and Madrid (2018). This book covers a wide variety of subjects: artificial intelligence and machine learning in finance and insurance, behavioural finance, credit risk methods and models, dynamic optimization in finance, financial data analytics, forecasting dynamics of actuarial and financial phenomena, foreign exchange markets, insurance models, interest rate models, longevity risk, models and methods for financial time series analysis, multivariate techniques for financial markets analysis, pension systems, portfolio selection and management, real-world finance, risk analysis and management, trading systems, and others. This volume is a valuable resource for academics, PhD students, practitioners, professionals and researchers. Moreover, it is also of interest to other readers with quantitative background knowledge.

Insurance Planning Models: Price Competition and Regulation of Financial Stability is an exciting new book that takes readers inside the secrets of internal organization of the modern general insurance business. Many people know that it is subject to intensive state regulation, whereby the purpose is to maintain long-term efficiency, honesty, security and stability in the interest and for the protection of policyholders. However, except for knowing that the insurance system is regulated by intensive calculations, that the insurance companies have different positions on the market, that they pursue different goals and even compete with each other, and that one of the tools of this competition is the policy price, not so many people know how to achieve these deserving goals.In developing quantitative recommendations and directives to competing insurers, regulators rely on certain models. In the 1900s, such models were proposed. They were useful for an insight into the probabilistic nature of the insurance process, but not for direct application to practically meaningful problems of insurance regulation. This book is your guide to the rigorously constructed long-term dynamic models with the aim to improve regulatory methods and develop quantitative recommendations using both analytical calculations and computer simulation. It is addressed to a wide range of readers, including interested policyholders, economists whose interest lies in insurance management and regulation, and mathematicians wishing to expand the scope of application for their knowledge.This book is devoted to certain issues that are either not sufficiently presented, or even absent in the literature. It is an attempt to penetrate from the standpoint of mathematical modeling into the goals which face insurance regulators and contending company managers for preventing insolvencies, or even crises pertinent to badly regulated complex reflexive systems.It offers rigorous probabilistic models of long-term insurance business based on the laws of mass phenomena. They mitigate deficiencies of oversimplified risk models. The book presents advances in probabilistic techniques designed to seek quantitative, rather than qualitative, directives and recommendations regarding safe control aiming to achieve different business goals.

The debate between the proponents of "classical" and "Bayesian" statistica} methods continues unabated. It is not the purpose of the text to resolve those issues but rather to demonstrate that within the realm of actuarial science there are a number of problems that are particularly suited for Bayesian analysis. This has been apparent to actuaries for a long time, but the lack of adequate computing power and appropriate algorithms had led to the use of various approximations. The two greatest advantages to the actuary of the Bayesian approach are that the method is independent of the model and that interval estimates are as easy to obtain as point estimates. The former attribute means that once one learns how to analyze one problem, the solution to similar, but more complex, problems will be no more difficult. The second one takes on added significance as the actuary of today is expected to provide evidence concerning the quality of any estimates. While the examples are all actuarial in nature, the methods discussed are applicable to any structured estimation problem. In particular, statisticians will recognize that the basic credibility problem has the same setting as the random effects model from analysis of variance.

Digital Asset Valuation and Cyber Risk Measurement: Principles of Cybernomics is a book about the future of risk and the future of value. It examines the indispensable role of economic modeling in the future of digitization, thus providing industry professionals with the tools they need to optimize the management of financial risks associated with this megatrend. The book addresses three problem areas: the valuation of digital assets, measurement of risk exposures of digital valuables, and economic modeling for the management of such risks. Employing a pair of novel cyber risk measurement units, bitmort and hekla, the book covers areas of value, risk, control, and return, each of which are viewed from the perspective of entity (e.g., individual, organization, business), portfolio (e.g., industry sector, nation-state), and global ramifications. Establishing adequate, holistic, and statistically robust data points on the entity, portfolio, and global levels for the development of a cybernomics databank is essential for the resilience of our shared digital future. This book also argues existing economic value theories no longer apply to the digital era due to the unique characteristics of digital assets. It introduces six laws of digital theory of value, with the aim to adapt economic value theories to the digital and machine era.

The u.s. government bulks large in the nation's financial markets. The huge volume of government-issued and -sponsored debt affects the pricing and volume ofprivate debt and, consequently, resource allocation between competing alternatives. What is often not fully appreciated is the substantial influence the federal government wields overresource allocation through its provisionofcreditandrisk-bearing services to the private economy. Because peopleand firms generally seekto avoid risk, atsomeprice they are willing to pay another party to assume the risk they would otherwise face. Insurance companies are a class of private-sector firms one commonly thinks of as providing these services. As the federal government has expanded its presence in the U.S. economy during this century, it has increasingly developed programs aimed at bearing risks that the private sector either would not take on at any price, or would take on but atapricethoughtto besogreatthatmostpotentialbeneficiarieswouldnotpurchase the coverage. Today, roughly three-fifths of all nonfederal credit outstanding is 1 assisted by some form of federal program. The federal government provides insurance of many private pension plans through the Pension Benefit Guaranty Corporation, subsidizesand implicitly guarantees the liabilitiesofseveral agencies dominating secondary loan markets (for example, the Federal National Mortgage Association, Federal Home Loan Mortgage Corporation, and Student Loan Mar ketingAssociation), andeithermakesdirectloansorguaranteesprivatelygenerated loans through a varietyofcreditprograms to farmers, exporters, home purchasers, and others."