A practical guide to adopting an accurate risk analysis methodology The Failure of Risk Management provides effective solutionstosignificantfaults in current risk analysis methods. Conventional approaches to managing risk lack accurate quantitative analysis methods, yielding strategies that can actually make things worse. Many widely used methods have no systems to measure performance, resulting in inaccurate selection and ineffective application of risk management strategies. These fundamental flaws propagate unrealistic perceptions of risk in business, government, and the general public. This book provides expert examination of essential areas of risk management, including risk assessment and evaluation methods, risk mitigation strategies, common errors in quantitative models, and more. Guidance on topics such as probability modelling and empirical inputs emphasizes the efficacy of appropriate risk methodology in practical applications. Recognized as a leader in the field of risk management, author Douglas W. Hubbard combines science-based analysis with real-world examples to present a detailed investigation of risk management practices. This revised and updated second edition includes updated data sets and checklists, expanded coverage of innovative statistical methods, and new cases of current risk management issues such as data breaches and natural disasters. Identify deficiencies in your current risk management strategy and take appropriate corrective measures Adopt a calibrated approach to risk analysis using up-to-date statistical tools Employ accurate quantitative risk analysis and modelling methods Keep pace with new developments in the rapidly expanding risk analysis industry Risk analysis is a vital component of government policy, public safety, banking and finance, and many other public and private institutions. The Failure of Risk Management: Why It's Broken and How to Fix It is a valuable resource for business leaders, policy makers, managers, consultants, and practitioners across industries.

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.

This Volume of the AIDA Europe Research Series on Insurance Law and Regulation focuses on transparency as the guiding principle of modern insurance law. It consists of chapters written by leaders in the respective field, who address transparency in a range of civil and common law jurisdictions, along with overview chapters. Each chapter reviews the transparency principles applicable in the jurisdiction discussed. Whether expressly or impliedly, all jurisdictions recognize a duty on the part of the insured to make a fair presentation of the risk when submitting a proposal for cover to the insurers, although there is little consensus on the scope of that duty. Disputed matters in this regard include: whether it is satisfied by honest answers to express questions, or whether there is a spontaneous duty of disclosure; whether facts relating to the insured's character, as opposed to the nature of the risk itself, are to be presented to the insurers; the role of insurance intermediaries in the placement process; and the remedy for breach of duty. Transparency is, however, a much wider concept. Potential policyholders are in principle entitled to be made aware of the key terms of coverage and to be warned of hidden traps (such as conditions precedent, average clauses and excess provisions), but there are a range of different approaches. Some jurisdictions have adopted a "soft law" approach, using codes of practice for pre-contract disclosure, while other jurisdictions employ the rather nebulous duty of (utmost) good faith. Leaving aside placement, transparency is also demanded after the policy has been incepted. The insured is required to be transparent during the claims process. There is less consistency in national legislation regarding the implementation of transparency by insurers in the context of handling claims.

This book focuses on the management of ship operations, an activity that requires integrative knowledge and technical expertise that spans various disciplines. As such, ship operations personnel are expected to be well-versed with aspects of management, economics, engineering, technology and law. Further, ship operations management requires the ability to identify and neutralize threats and to manage risks and make decisions that will optimize costs and contribute to performance improvements. Despite the fundamental nature of ship operations management, no book has ever attempted to reconcile and compile a comprehensive body of knowledge, while pursuing a coherent, structured and systematic approach. This edited volume addresses that fundamental gap in the extant literature, and brings together a wealth of knowledge from experts in their respective fields. Concretely, it explores issues of organization, technical management, crewing and behavioral issues, chartering and post fixture, risk management, finance, legal aspects of international conventions and regulations, attainment of safety, security and marine insurance, as well as ocean governance and sustainability. As such, the book offers a vital reference guide for maritime companies and organizations, while also serving as a teaching supplement in academic and professional maritime programmes.

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.

This is a new edition of a very successful introduction to statistical methods for general insurance practitioners. No prior statistical knowledge is assumed, and the mathematical level required is approximately equivalent to school mathematics. While the book is primarily introductory, the authors discuss some more advanced topics, including simulation, calculation of risk premiums, credibility theory, estimation of outstanding claim provisions and risk theory. All topics are illustrated by examples drawn from general insurance, and references for further reading are given. Solutions to most of the exercises are included. For the new edition, the opportunity has been taken to make minor improvements and corrections throughout the text, to rewrite some sections to improve clarity, and to update the examples and references. A new section dealing with estimation has also been added.

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, 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 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 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.

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.

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.

Sicherheitsmanagement wird mit Hilfe des vorliegenden Handbuchs und der Software Ariadne SMS effizient und kostengunstig. Die Autoren beschreiben die Digitalisierung des Expertenwissens von Unfalluntersuchern und dessen maschinelle Verarbeitung. Das gesamte Unfallgeschehen wird mit algorithmisch auswertbaren Schlusseln strukturiert klassifiziert. Unfalldeskriptoren und Fehlervariablen werden auf der Basis des 3-Ebenen-Modells der Unfallentstehung zu Risikoprofilen und Praventionsmassnahmen verarbeitet. Ariadne SMS basiert auf aktueller Web-IT und ist durch selbstlernende Netze innovativ. Automatisierte Muster- und Spracherkennungsverfahren generieren valide Risikovorhersagen und Simulationen der Wirksamkeit von Massnahmen auf die Risikoverteilung. Fehlerquellen entfallen, Bearbeitungsschritte werden eingespart, Informationen sind transparent und jederzeit verfugbar. Der praktische Einsatz bei Bundeswehr und Berufsgenossenschaften fuhrte zu erheblichen Einsparungen. Anwendungen in Medizin und Unternehmensfuhrung, im Umwelt- und Katastrophenschutz sowie bei Versicherungen sind moeglich.

Long-listed for the FT & Goldman Sachs Business Book of the Year Award 2011

The true story of how risk destroys, as told through the ongoing saga of AIG

From the collapse of Bear Stearns and Lehman Brothers, the subject of the financial crisis has been well covered. However, the story central to the crisis-that of AIG-has until now remained largely untold. "Fatal Risk: A Cautionary Tale of AIG's Corporate Suicide" tells the inside story of what really went on inside AIG that caused it to choke on risk and nearly brining down the entire economic system. The book
Reveals inside information available nowhere else, including the personal notes and records of key players such as the former Chairman of AIG, Hank GreenbergTakes readers behind the scenes at the U.S. Treasury and the Federal Reserve Bank of New YorkDetails how an understanding of risk built AIG, but a disdain for government regulators led to a run-in with New York State Attorney General Eliot Spitzer

"Fatal Risk" is the comprehensive and compelling true story of the company at the center of the financial storm and how it nearly caused the entire economic system to collapse.

Carsten Rahlfs entwickelt ein Bewertungsmodell zur Ableitung von Handlungsempfehlungen zur Optimierung der Wertschopfungspolitik mittelstandischer Versicherungsunternehmen. Er kommt zu dem Ergebnis, dass zunachst zu prufen ist, ob die Beibehaltung einer Wertschopfungsstufe zur Steigerung des Shareholder Value beitragt."

This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). In order to deal with tail events, analytical tools from Extreme Value Theory are presented. Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS). 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 case studies, providing numerical illustrations using the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. This is the first 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. Although closely related to the other two volumes, this volume can be read independently.

The substantially updated third edition of the popular Actuarial Mathematics for Life Contingent Risks is suitable for advanced undergraduate and graduate students of actuarial science, for trainee actuaries preparing for professional actuarial examinations, and for life insurance practitioners who wish to increase or update their technical knowledge. The authors provide intuitive explanations alongside mathematical theory, equipping readers to understand the material in sufficient depth to apply it in real-world situations and to adapt their results in a changing insurance environment. Topics include modern actuarial paradigms, such as multiple state models, cash-flow projection methods and option theory, all of which are required for managing the increasingly complex range of contemporary long-term insurance products. Numerous exam-style questions allow readers to prepare for traditional professional actuarial exams, and extensive use of Excel ensures that readers are ready for modern, Excel-based exams and for the actuarial work environment. The Solutions Manual (ISBN 9781108747615), available for separate purchase, provides detailed solutions to the text's exercises.

This volume gathers selected peer-reviewed papers presented at the international conference "MAF 2016 - Mathematical and Statistical Methods for Actuarial Sciences and Finance", held in Paris (France) at the Universite Paris-Dauphine from March 30 to April 1, 2016. The contributions highlight new ideas on mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field, one that yields unique theoretical models and practical applications, as well as new insights in the discussion of problems of national and international interest. This volume is addressed to academicians, researchers, Ph.D. students and professionals.

Modern risk management as practiced today faces significant obstacles-we argue-primarily due to the fundamental premise of the concept itself. It asserts that we are mainly dealing with measurable, quantifiable risks and that we can manage the uncontrollable by relying on formal control-based systems, which has produced a general view that (enterprise) risk management is a technical-scientific discipline. Strategic Risk Leadership offers a critique of the status quo, and encourages leaders, executives, and chief risk officers to find fresh approaches that can help them deal more proactively with what the future may hold. The book provides an overview of the history of risk management and current risk governance approaches as prescribed by leading risk management standards, such as COSO and ISO31000. This enables practitioners to challenge the frameworks and improve their adoption in practice introducing sustainable resilience as a (more) meaningful response to uncertain and unknowable conditions. The book shows how traditional thinking downplays the significance of human behavior and judgmental biases as key elements of major organizational exposures illustrated and explained through numerous case examples and studies. This book is essential reading for strategic risk managers to understand the requirements for effective risk governance practices in the contemporary and rapidly changing global risk landscape. Indeed, it is a valuable resource for all risk executives, leaders, and chief risk officers, as well as advanced students of risk management.

Index based insurance schemes can play a vital role in insuring poor people in developing countries against a multitude of risk. However, the concept doesn't go along without any obstacles. Matthias Roedl provides a theoretical framework of index based insurance schemes and further highlights where the latter distinguishes from a classic indemnity insurance. Thereby, scholars can gain a comprehensive theoretical insight into the topic, while practitioners are enabled to identify and understand fundamental challenges for their project upfront as well as to foster sound solutions.