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.

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."

The research project leading to this book was initiated in the fall of 1979 when the American Council of Life Insurance (ACLI) contacted Dan McGill, chairman of the Wharton School Insurance Department, about conducting a study on risk classification in life insurance. The ACLI was concerned about legislative and judicial activity in this area and its potential effects on the life insurance industry. A meeting was held at the ACLI offices in Washington, D.C., between several members of the ACLI staff and Dan McGill and David Cummins representing the Wharton School insurance department. An agreement was reached that a study would be conducted at Wharton dealing with issues in risk classification. Although the staff of the ACLI suggested directions the study might take, it was agreed that the design and execution of the study would be solely under the control of the researchers. The researchers also retained unrestricted publication rights in the results of the study. This agreement has been honored by the ACLI during the course of the project.

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 only student textbook covering this frequently-taught subject Fully updated new edition includes updates in case law and the ongoing impact of the Insurance Act 2015 and a revised chapter on smart contracts to include discussion of Blockchain First two editions extremely well received and adopted by the market

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.

Five years ago the world lost one of its most prolific insurance scholars, Dr. Robert I. Mehr. His death in 1988 signalled the passing of not only a gifted writer and researcher, but also a pioneering teacher, mentor, and friend. The essays compiled within this volume are intended as an appropriate tribute to this occasionally outrageous individual who touched the lives of so many within the insurance community. Bob Mehr was a teacher who expected and demanded nothing less than perfect scholarship and flawless, efficient writing. Among alumni of the University of lllinois insurance doctoral program, stories still abound of late night and early morning sessions in which students and professor painstakingly debated precise words and phrases for dissertations, journal articles, and textbooks. Bob's respect for language was both immense and contagious, if at times more than a little compulsive. He joked that he could not read letters or novels without pencil in hand for editing. Bob's respect for his doctoral students was equally evident. The confidence he displayed in his students' abilities was sometimes startling, but "competence assumed" often begot "competence in fact." The accomplishments and records amassed by the many who studied with Bob Mehr are impressive and ongoing. On the dedication page in his final textbook, Fundamentals of Insurance, Bob spoke of his affection for those he called his "academic progeny" and wished them happiness as they build their own academic families.

For people interested in risk management, medical activity represents a stimulating field of study and thought. On the one hand, progress in medical knowledge and technology tends to reduce the risks to survival that individuals would face in the absence of appropriate diagnostic or therapeutic instruments. On the other hand, new medical technologies simultaneously create their own specific risks, sometimes simply because their effects are less well-known than those of established ones. In a sense any medical progress simultaneously generates new risks while destroying old ones. Moreover, unlike many financial risks that can be either divided or transferred to others (e.g. through diversification, insurance or social security) the personal aspects of medical risks are by essence indivisible and non-transferable. As a result, they are in a sense more threatening than financial risks for risk averse patients. These two facts explain and justify the growing interest in risk economics for the fields of medical decision making and health economics.

In Risk and Medical Decision Making, part 1 is developed inside the expected utility (E-U) model and analyses how comorbidity risks affect the well-known "test-treatment" thresholds. Part 2 is devoted to a specific non E-U model with the same purpose: how would one define a threshold in this context and how would one value a diagnostic test? In each of these two parts both diagnostic and therapeutic risks are considered.

In excess of loss reinsurance, the reinsurer covers the amount of a loss exceeding the policy's deductible but not piercing its cover limit. Accordingly, a policy's quantitative scope of cover is significantly affected by the parties' agreement of a deductible and a cover limit. Yet, the examination of whether a loss has exceeded deductible or cover limit necessitates an educated understanding of what constitutes one loss. In so-called aggregation clauses, the parties to (re-)insurance contracts regularly provide that multiple individual losses are to be added together for presenting one loss to the reinsurer when they arise from the same event, occurrence, catastrophe, cause or accident. Aggregation mechanisms are one of the core instruments for structuring reinsurance contracts. This book systematically examines each element of an aggregation mechanism, tracing the inconsistent usage of aggregation language in the markets and scrutinizing the tests developed by courts and arbitral tribunals. In doing so, it seeks to support insurers, reinsurers, brokers and lawyers in drafting aggregation clauses and in settling claims. Focusing on an analysis of primary sources, particularly judicial decisions, the book interprets each judicial decision to describe a system of inter-related rules, collating, organising and describing the English law of aggregation as applied by the courts and arbitral tribunals. It further draws a comparison between the English position and the corresponding rules in the Principles of Reinsurance Contract Law (PRICL).

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 only student textbook covering this frequently-taught subject Fully updated new edition includes updates in case law and the ongoing impact of the Insurance Act 2015 and a revised chapter on smart contracts to include discussion of Blockchain First two editions extremely well received and adopted by the market

This book complements the textbook Investment Valuation and Appraisal - Theory and Practice. It contains exercises and solutions often used at academic courses about investment evaluation around the world. Using the sample solutions for the assignments, the learning progress itself can be checked by students. Thus, this book enables students of business administration to prepare for exams in self-study. In addition, it is ideal for practitioners as an illustrative object for concrete quantitative business problems and their solutions.The book covers tasks in areas such as static investment evaluation methods, dynamic investment evaluation methods, selection of alternatives and investment program planning, optimum useful lifetime and optimum replacement time and investment decisions in uncertainty. The book closes with a mock exam and its solution as is typical at universities. Solutions are shown in an Excel sheet which is available online.

The financing of graduate medical education is likely to change significantly in the near future as third party payers are already pressuring hospitals to discontinue paying for graduate medical education through patient care. The Medicare System of Prospective Payment Implications for Medical Education and Practice isolates significant implications of prospective payment systems, and deals with each one in detail. Besides providing a theoretical base, it identifies various alternatives and provides guidelines for dealing with them.

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

This book illustrates the EU-wide Solvency II framework for the insurance industry, which was implemented on January 1, 2016, after a long project phase. Analogous to the system for banks, it is based on three pillars and the authors analyze the complete framework pillar by pillar with a consistent data model for a non-life insurer, which was developed by the Research Group Financial & Actuarial Risk Management (FaRis) at the Institute for Insurance Studies of the TH Koeln - University of Applied Sciences. The book leverages the long-standing and close cooperation between the University of Limerick (Ireland) and the Institute for Insurance Studies at TH Koeln - University of Applied Sciences (Germany).

Insurance Market Integration in the European Union offers an in-depth analysis of the mechanisms of insurance market integration and measures the degrees of this integration. It examines the operation of the EU single financial market and, against this backdrop, the regulation relating to the insurance market. In addition, the book focuses on the specificity and determinants of international insurance market development and the issues with assimilation set against other financial market segments such as money market, credit-deposit and bond and equity. It discusses the advantages and disadvantages of insurance market integration on an international scale. The authors propose a unique approach to the subject in the context of the EU and particularly in relation to the European area. They also apply new measures of insurance market integration in the EU in practice through the use of statistical data and implementation of econometric modeling. Further, they investigate how the financial and fiscal crisis has affected the insurance market in EU countries and the impact of European Central Bank monetary policy on the degrees of integration in the European area during and after the financial crisis. This book will find an audience among academics and researchers in the fields of international economics and finance and applied, financial and growth economics.

The interaction between mathematicians and statisticians has been shown to be an effective approach for dealing with actuarial, insurance and financial problems, both from an academic perspective and from an operative one. The collection of original papers presented in this volume pursues precisely this purpose. It covers a wide variety of subjects in actuarial, insurance and finance fields, all treated in the light of the successful cooperation between the above two quantitative approaches. The papers published in this volume present theoretical and methodological contributions and their applications to real contexts. With respect to the theoretical and methodological contributions, some of the considered areas of investigation are: actuarial models; alternative testing approaches; behavioral finance; clustering techniques; coherent and non-coherent risk measures; credit scoring approaches; data envelopment analysis; dynamic stochastic programming; financial contagion models; financial ratios; intelligent financial trading systems; mixture normality approaches; Monte Carlo-based methods; multicriteria methods; nonlinear parameter estimation techniques; nonlinear threshold models; particle swarm optimization; performance measures; portfolio optimization; pricing methods for structured and non-structured derivatives; risk management; skewed distribution analysis; solvency analysis; stochastic actuarial valuation methods; variable selection models; time series analysis tools. As regards the applications, they are related to real problems associated, among the others, to: banks; collateralized fund obligations; credit portfolios; defined benefit pension plans; double-indexed pension annuities; efficient-market hypothesis; exchange markets; financial time series; firms; hedge funds; non-life insurance companies; returns distributions; socially responsible mutual funds; unit-linked contracts. This book is aimed at academics, Ph.D. students, practitioners, professionals and researchers. But it will also be of interest to readers with some quantitative background knowledge.

In this book, world-leading social scientists come together to provide original insights on the capacities and limitations of insurance in a changing world. Climate change is fundamentally changing the ways we insure, and the ways we think about insurance. This book moves beyond traditional economics and financial understandings of insurance to address the social and geopolitical dimensions of this powerful and pervasive part of contemporary life. Insurance shapes material and social realities, and is shaped by them in turn. The contributing authors of this book show how insurance constitutes and is constituted through the traditional elements of earth, water, air, fire, and the novel element of big data. The applied and theoretical insights presented through this novel elemental approach reveal that insurance is more dynamic, multifaceted, and spatially variegated than commonly imagined. This book is an authoritative source on the capacities and limitations of insurance. It is a go-to reference for researchers and students in the social sciences - particularly those with an interest in economics and finance, and how these intersect with geography, politics, and society. It is also relevant for those in the disaster, environmental, health, natural, and social sciences who are interested in the role of insurance in addressing risk, resilience, and adaptation. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

This book examines good faith in non-marine insurance and takaful (Islamic insurance) contracts in Malaysia, and proposes holistic law reform of the same. The first two-thirds of the book comprise an extensive comparative legal analysis of the issues between Malaysia, Australia and the United Kingdom, with the final third dedicated to a socio-economic analysis of law reform and suggestions for law reform particularly suited to Malaysia. The book evaluates whether the duty of utmost good faith (the cornerstone of insurance and takaful contracts) is effectively regulated and, in turn, observed by insurers (and takaful operators) and insureds alike in Malaysia. The adequacy of the Insurance Act 1996 (Malaysia), the Takaful Act 1984 (Malaysia), the Financial Services Act 2013 (Malaysia) and the Islamic Financial Services Act 2013 (Malaysia) is evaluated, along with the supporting infrastructure and oversight measures introduced by the Malaysian government. In doing so, The book examines the duty of utmost good faith from both a doctrinal and a social science perspective, in order to propose suitable legal reform.

Examining the law of export credit insurance and export credit guarantees, this book clarifies the legal nature of ECI and ECGs as insurance and guarantees respectively by comparing their legal characteristics regarding contract formation process, terms and conditions, duty of fair presentation, claim handling process and subrogation and recoveries. It further explores why some export credit agencies provide export credit guarantees in addition to export credit insurance, notwithstanding that an ECG is a more client-friendly product and easier than ECI for banks to use. Analysing the legal principles applicable to export credit insurance and export credit guarantees reflected by English case authorities and statutory law, the book is a doctrinal study informed by substantive empirical research. It studies a large number of export credit insurance and export credit guarantee contractual terms, to propose several model clauses and scrutinise the influences of the Insurance Act 2015 on ECI. This book is an important reference for students, academics and practitioners in the field of commercial and insurance law. In particular, it seeks to provide guidelines for all potential parties who wish to arrange an ECI/ECG transaction, including export credit agencies, private credit insurers, brokers, banks, exporters and buyers, to correctly identify and choose the suitable cover.

This book delves into the many innovative changes that the financial industry has undergone in recent years. The authors investigate these developments in a holistic manner and from a wide range of perspectives: both public and private, business and consumer, regulators and supervisors. Initially, they set the framework of their analysis by discussing innovation cycles in financial services. Thereafter, they tackle the issue of financial innovations and their consequences for financial stability. They then review the new approaches to financial consumers' protection, which emerged in the aftermath of the global financial crisis. The authors underline the fact that this new approach is heavily influenced by the recent innovative drive in the financial industry. Next, they switch their attention to the public sector, examining the innovative processes in monetary policy and central banks, structural innovations in the supervisory models and systems, and they assess some specific supervisory challenges regarding blockchain and the application of mathematics in the supervisory capacity. Additionally, the book examines a range of issues related to the private sector, such as recent developments regarding risk transferring mechanisms on the financial market, artificial intelligence and natural language processing for regulatory filings, the development of process management in insurance companies and other innovative products on the market. Finally, Innovation in Financial Services discusses how the digital transformation of the financial system impacts the interaction between the public and private sectors. The book is intended for graduate and postgraduate level students, researchers, public sector officers, as well as financial sector practitioners.

This book is the first attempt to re-define objective risk. It addresses the cost of running out of capital as a generalized cost syndrome and explains how it is possible to describe this cost in such a way as to give it practical, real-life significance for personal finances, company finances and the economy as a whole. The discussion begins by presenting an intuitive and useful definition of risk: the probability of prospective capital shortfall. From this point it establishes a risk theory and expands the work of major thinkers such as Frank Knight and John Maynard Keynes, and adds reserve capital as a new financial risk management tool, with an economic function that is different from savings. This book will be of interest to economists, politicians, and decision makers as well as to the general public.

This book offers a discussion about the dramatic development of healthcare business around the world during the twentieth century. Through a broad range of cases in Asia, Europe and the US, it shows how health was transformed into a fast-growing and diversified industry. Health and medicine have developed as one of the fastest growing sectors of the economy around the world during the twentieth century. However, very little is known about the conditions of their transformation in a big, globalized business. This book discusses the development of health industries, tackling the various activities in manufacturing (drugs, biotechnology, medical devices, etc.), infrastructure (hospital design and construction) and services (nursing care, insurances, hospital management, etc.) in relation to healthcare. The business history of health carried out in this book offers a systemic perspective that includes the producers (companies), practitioners (medical doctors) and users (patients and hospitals) of medical technology, as well as the providers of capital and the bodies responsible for regulating the health system (government). The chapters in this book were originally published as a special issue of the journal Business History.

This textbook introduces readers to the most relevant aspects of Investment Evaluation in the context of enterprise evaluation. It utilises a clear didactic concept and concisely presents representative cases, supported by calculations and their step-by-step, Excel-based solutions. In addition, the book analyses the respective benefits of the calculation models discussed from a management standpoint.