This book is devoted to the mathematical methods of metamodeling that can be used to speed up the valuation of large portfolios of variable annuities. It is suitable for advanced undergraduate students, graduate students, and practitioners. It is the goal of this book to describe the computational problems and present the metamodeling approaches in a way that can be accessible to advanced undergraduate students and practitioners. To that end, the book will not only describe the theory of these mathematical approaches, but also present the implementations.

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 presents a consistent and complete framework for studying the risk management of a pension fund. It gives the reader the opportunity to understand, replicate and widen the analysis. To this aim, the book provides all the tools for computing the optimal asset allocation in a dynamic framework where the financial horizon is stochastic (longevity risk) and the investor's wealth is not self-financed. This tutorial enables the reader to replicate all the results presented. The R codes are provided alongside the presentation of the theoretical framework. The book explains and discusses the problem of hedging longevity risk even in an incomplete market, though strong theoretical results about an incomplete framework are still lacking and the problem is still being discussed in most recent literature.

This book begins with the fundamental large sample theory, estimating ruin probability, and ends by dealing with the latest issues of estimating the Gerber-Shiu function. This book is the first to introduce the recent development of statistical methodologies in risk theory (ruin theory) as well as their mathematical validities. Asymptotic theory of parametric and nonparametric inference for the ruin-related quantities is discussed under the setting of not only classical compound Poisson risk processes (Cramer-Lundberg model) but also more general Levy insurance risk processes. The recent development of risk theory can deal with many kinds of ruin-related quantities: the probability of ruin as well as Gerber-Shiu's discounted penalty function, both of which are useful in insurance risk management and in financial credit risk analysis. In those areas, the common stochastic models are used in the context of the structural approach of companies' default. So far, the probabilistic point of view has been the main concern for academic researchers. However, this book emphasizes the statistical point of view because identifying the risk model is always necessary and is crucial in the final step of practical risk management.

A Hands-On Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/C++ embedded codes. After an introduction to the R language, the book is divided into four parts. The first one addresses methodology and statistical modeling issues. The second part discusses the computational facets of life insurance, including life contingencies calculations and prospective life tables. Focusing on finance from an actuarial perspective, the next part presents techniques for modeling stock prices, nonlinear time series, yield curves, interest rates, and portfolio optimization. The last part explains how to use R to deal with computational issues of nonlife insurance. Taking a do-it-yourself approach to understanding algorithms, this book demystifies the computational aspects of actuarial science. It shows that even complex computations can usually be done without too much trouble. Datasets used in the text are available in an R package (CASdatasets).

In this concise yet comprehensive guide to the mathematics of modern portfolio theory the authors discuss mean-variance analysis, factor models, utility theory, stochastic dominance, very long term investing, the capital asset pricing model, risk measures including VAR, coherence, market efficiency, rationality and the modelling of actuarial liabilities. Each topic is clearly explained with assumptions, mathematics, limitations, problems and solutions presented in turn. Joshi's trademark style of clarity and practicality is here brought to classical financial mathematics. The book is suitable for mathematically trained students in actuarial studies, business and economics as well as mathematics and finance, and it can be used for both self-study and as a course text. The authors' experience as both academics and practitioners brings clarity and relevance to the book, whilst ensuring that the limitations of models are highlighted.

Actuaries must pass exams, but more than that: they must put knowledge into practice. This coherent book supports the Society of Actuaries' short-term actuarial mathematics syllabus while emphasizing the concepts and practical application of nonlife actuarial models. A class-tested textbook for undergraduate courses in actuarial science, it is also ideal for those approaching their professional exams. Key topics covered include loss modelling, risk and ruin theory, credibility theory and applications, and empirical implementation of loss models. Revised and updated to reflect curriculum changes, this second edition includes two brand new chapters on loss reserving and ratemaking. R replaces Excel as the computation tool used throughout - the featured R code is available on the book's webpage, as are lecture slides. Numerous examples and exercises are provided, with many questions adapted from past Society of Actuaries exams.

This book, adopting machine learning techniques for the financial planning field, explores the demand for life insurance as seen in previous literature and both estimates and predicts the demand for the adoption of life insurance using these techniques. Previous studies used diverse perspectives, like actuarial and life span, in order to understand the demand for life insurance, though these approaches have shown inconsistent findings. Employing two theoretical backgrounds-ecological systemic theory and artificial intellectual methodology-this book explores a better estimation and a prediction of the demand for life insurance and will be of interest to academics and students of insurance, financial planning, and risk management.

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.

This open access book collects expert contributions on actuarial modelling and related topics, from machine learning to legal aspects, and reflects on possible insurance designs during an epidemic/pandemic. Starting by considering the impulse given by COVID-19 to the insurance industry and to actuarial research, the text covers compartment models, mortality changes during a pandemic, risk-sharing in the presence of low probability events, group testing, compositional data analysis for detecting data inconsistencies, behaviouristic aspects in fighting a pandemic, and insurers' legal problems, amongst others. Concluding with an essay by a practicing actuary on the applicability of the methods proposed, this interdisciplinary book is aimed at actuaries as well as readers with a background in mathematics, economics, statistics, finance, epidemiology, or sociology.

Dieses Buch befasst sich in 24 Beitragen mit aktuellen Fragen des Medizin- und Haftungsrechts. Der Gesundheitssektor ist gepragt von mitunter gegenlaufigen Tendenzen eines schnellen wissenschaftlichen Fortschritts, einer strengen Bedarfsplanung und knapper finanzieller Mittel. Bei veranderter Behandlungskultur steigen die Erwartungen der Patienten und die Anforderungen der Rechtsprechung an AErzte und andere Leistungserbringer. Haufige Klageverfahren sind Ausdruck und steigende Schadensaufwendungen der Haftpflichtversicherer Folge dieser veranderten Gesundheitslandschaft. Die Beitrage dieses Buches widmen sich daher Grundfragen des Haftungsrechts ebenso wie neuen Fragestellungen infolge des Patientenrechtegesetzes. Perspektiven fur die Berufshaftpflichtversicherer kommen ebenso zur Sprache wie Aspekte der Planung arztlicher Tatigkeit. Zu Wort kommen spezialisiert tatige Mediziner, Juristen und OEkonomen ebenso wie namhafte Wissenschaftler.

Unassuming but formidable, American maritime insurers used their position at the pinnacle of global trade to shape the new nation. The international information they gathered and the capital they generated enabled them to play central roles in state building and economic development. During the Revolution, they helped the U.S. negotiate foreign loans, sell state debts, and establish a single national bank. Afterward, they increased their influence by lending money to the federal government and to its citizens. Even as federal and state governments began to encroach on their domain, maritime insurers adapted, preserving their autonomy and authority through extensive involvement in the formation of commercial law. Leveraging their claims to unmatched expertise, they operated free from government interference while simultaneously embedding themselves into the nation's institutional fabric. By the early nineteenth century, insurers were no longer just risk assessors. They were nation builders and market makers. Deeply and imaginatively researched, Underwriters of the United States uses marine insurers to reveal a startlingly original story of risk, money, and power in the founding era.

This volume features a selection of contributions presented at the 2019 Wroclaw Conference in Finance, covering a wide range of topics in finance and financial economics, e.g. financial markets; monetary policy; corporate, personal and public finance; and risk management and insurance. Reflecting the diversity and richness of research in the field, the papers discuss both fundamental and applied finance, and offer a detailed analysis of current financial-market problems, including specifics of the Polish and Central European markets. They also examine the results of advanced financial modeling. Accordingly, the proceedings offer a valuable resource for researchers at universities and policy institutions, as well as graduate students and practitioners in economics and finance at both private and government organizations.

This textbook provides a broad overview of the present state of insurance mathematics and some related topics in risk management, financial mathematics and probability. Both non-life and life aspects are covered. The emphasis is on probability and modeling rather than statistics and practical implementation. Aimed at the graduate level, pointing in part to current research topics, it can potentially replace other textbooks on basic non-life insurance mathematics and advanced risk management methods in non-life insurance. Based on chapters selected according to the particular topics in mind, the book may serve as a source for introductory courses to insurance mathematics for non-specialists, advanced courses for actuarial students, or courses on probabilistic aspects of risk. It will also be useful for practitioners and students/researchers in related areas such as finance and statistics who wish to get an overview of the general area of mathematical modeling and analysis in insurance.

The Alternative Risk Transfer (ART) market has expanded in recent years to become a vital source of risk solutions and risk capacity and an important mechanism for the creation of integrated corporate risk management programs. The ART market unites the risk management and product development skills of financial institutions, insurers and reinsurers with the capital of global investors to give corporate risk managers the best possible means of managing financial and operating risks. In a time when natural and man-made disasters and financial volatility are constantly present, the need for dependable, equitably priced risk capacity and innovative, holistic risk solutions has never been greater. The ART market, which can supply both, is thus becoming an integral component of the 21st century financial markets. Alternative Risk Transfer, written by a veteran of the banking and insurance industries, provides a practical, detailed and up-to-date review of the topic. The text is divided into four parts, including Risk and the ART market Insurance and Reinsurance Capital Markets Enterprise Risk Management and the Future of ART The book contains numerous worked examples and case studies to

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 book offers fresh insights into the economic development and financial markets of Southeastern and Central European countries. The first part analyses macroeconomic trends and monetary policy issues, while the second part explores the development of financial and insurance markets. With contributions covering topics such as regional and income inequalities, economic embeddedness, industrial competitiveness, entrepreneurship, financial integration, insurance markets, and other socio-economic aspects, it appeals to scholars in the field of economics and finance interested in the further economic development of the Balkans and Eastern European countries as well as to professionals in the financial and insurance sectors.

This Volume of the AIDA Europe Research Series on Insurance Law and Regulation explores the key trends in InsurTech and the potential legal and regulatory issues that accompany them. There is a proliferation of ideas and concepts within InsurTech that will fundamentally change the market in the next few years. These innovations have the potential to change the way the insurance industry works and alter the relationships between customers and insurers, resulting in insurance products that are more closely aligned to individual preferences and priced more appropriately to the risk. Increasing use of technology in the insurance sector is having both a disruptive and transformative impact on areas including product development, distribution, modelling, underwriting and claims and administration practice. The result is a new industry, known as InsurTech. But while the insurance market looks to technology for greater efficiency, regulators are beginning to raise concerns about managing potential risks. The first part of the book examines technological innovations relevant for insurance, such as FinTech, InsurTech, Sharing Economy, and the Internet of Things. The second part then gathers contributions on insurance contract law in a digitalized world, while the third part focuses on cyber insurance and robots. Last but not least, the fourth part of the book discusses legal and ethical questions regarding autonomous vehicles and transportation, including the shipping industry, as well as their impact on the insurance sector and civil liability. Written by legal scholars and practitioners, the book offers international, comparative and European perspectives. The Chapters "FinTech, InsurTech and the Regulators" by Viktoria Chatzara, "Smart Contracts in Insurance. A Law and Futurology Perspective" by Angelo Borselli and "Room for Compulsory Product Liability Insurance in the European Union for Smart Robots?" by Aysegul Bugra are available open access under a CC BY 4.0 license at link.springer.com. All three open access chapters were funded by BIPAR.

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.

This book summarizes the state of the art in tree-based methods for insurance: regression trees, random forests and boosting methods. It also exhibits the tools which make it possible to assess the predictive performance of tree-based models. Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities. The exposition alternates between methodological aspects and numerical illustrations or case studies. All numerical illustrations are performed with the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. In particular, master's students in actuarial sciences and actuaries wishing to update their skills in machine learning will find the book useful. This is the second of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P&C, life and health insurance.

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

The 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.

Die Autoren berucksichtigen in dieser Neuauflage aktuelle Entwicklungen, indem sie nicht nur die bestehenden Inhalte "auffrischen," sondern wichtige neue Abschnitte einbauen, so zum Beispiel zum ISM-Code (dem wichtigsten Massnahmebundel zur Gewahrleistung eines sicheren Schiffsbetriebs) oder zum Maklerrecht, das durch die EU-Maklerrichtlinie vollig neu gefasst wurde."

This book deals with Enterprise Risk Management (ERM) and, in particular, Quantitative Risk Management (QRM) in life insurance business. Constituting a "bridge" between traditional actuarial mathematics and insurance risk management processes, its purpose is to provide advanced undergraduate and graduate students in the Actuarial Sciences, Finance and Economics with the basics of ERM (in general) and QRM applied to life insurance business. The main topics dealt with are: general issues on ERM, risk management tools for life insurance and life annuities, deterministic and stochastic analysis of the behaviour of a portfolio fund, application of sensitivity testing to assess ranges of results of interest, stress testing to assess the impact of extreme scenarios, and the product development process for life annuity products.

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