Most academic and policy commentary represents adverse selection as a severe problem in insurance, which should always be deprecated, avoided or minimised. This book gives a contrary view. It details the exaggeration of adverse selection in insurers' rhetoric and insurance economics, and presents evidence that in many insurance markets, adverse selection is weaker than most commentators suggest. A novel arithmetical argument shows that from a public policy perspective, 'weak' adverse selection can be a good thing. This is because a degree of adverse selection is needed to maximise 'loss coverage', the expected fraction of the population's losses which is compensated by insurance. This book will be valuable for those interested in public policy arguments about insurance and discrimination: academics (in economics, law and social policy), policymakers, actuaries, underwriters, disability activists, geneticists and other medical professionals.

Environmental sustainability is perhaps the key societal challenge of our times. Achieving it will require a significant level of financing and investment, and here the role of the banking industry is fundamental. Banks can play a broader and far-reaching role by adopting environmental concerns in their internal and external business operations. Principles of Green Banking is a comprehensive account of the different aspects of green banking and offers theories and principles as well as practical how-to guidelines to adopt green banking practices. This book discusses why green banking is central to achieving sustainable development. It illustrates the evolution of green banking around the world, different types of environmental risks created by firms and how these risks offer threats to sustain ability, and ongoing trends and patterns of green banking practice. Critically, it also presents an outline of the regulatory framework necessary to help the entire banking sector adapt to the change towards green banking. It is a valuable resource for financial sector professionals and scholars in the fields of sustainable finance and banking.

Congratulations on your decision to gain the skills that will enable you to become a top insurance claims adjuster. The position of an insurance adjuster requires attention to detail, critical thinking skills, exceptional judgment, decision-making capability, and an understanding of your responsibility to both the homeowner and the insurance company. As a property claims adjuster, you will apply the knowledge, tools, and skills necessary to ensure that property claims settlements are processed speedily and that settlement is fair to all parties. You will assist people in navigating the many responsibilities relating to a personal property claim while providing the support necessary to assist the insured in recovering from a difficult period in their lives. The professionalism you will bring to the field helps to ensure that the insurer is protected from false, expanded, and fraudulent claims. Positions within the field of insurance claims are stable, challenging, and present an exceptional opportunity for personal and career growth. Individuals and business owners purchase insurance to help protect them against losses that may occur due to events beyond their control. When a loss occurs, the policyholder will seek monetary assistance from the insurance company that has issued a policy that protects their home or business. When a loss occurs, the insurance claims adjuster's primary duties are to investigate and evaluate each element of the claim, negotiate claim payment settlements and ensure that the claim process is closed in a manner that is fair and just for all parties. This course provides the fundamental knowledge, tools, and skills that you need to start on the path to adjusting career success.

Die vorliegende Arbeit bietet eine kritische Auseinandersetzung mit dem Berufsstand des Industrieversicherungsmaklers (IVM) in Deutschland. Analysiert werden Ursachen und Auswirkungen des Wandels, in dem sich der IVM gegenwartig befindet. Die Eroerterung der Ursachen konzentriert sich auf die Veranderung der Kundenbedurfnisse sowie auf die Entwicklung von Instrumenten des Alternativen Risikotransfers. Im Mittelpunkt der Diskussion um die Auswirkungen des Umbruchs steht im Hauptteil der Arbeit die Darstellung der Veranderungsprozesse im Leistungsangebot (in Richtung Risk Consulting), im Vergutungssystem (Courtage- vs. Honorarvergutung aus praktischer, informationsoekonomischer und rechtlicher Sicht) und in der Organisationsstruktur von IVM (Globalisierungstendenzen / Einbindung von Insurance Brokers in Finanzkonglomerate).

Published with the contribution of the Italian insurance company, INA, this volume contains the invited contributions presented at the 3rd International AFIR Colloquium. In the spirit of actuarial tradition, the colloquium paid attention to the link between the theoretical approach and the operative problems of financial markets and institutions, and insurance companies in particular. The book is thus an important reference work for students and researchers of actuarial sciences and finance, and is also recommended to practitioners with theoretical interests.

Banking markets have experienced a general trend towards conglomeration in recent years which has been facilitated by the deregulation of banks' activities. A particular feature of financial conglomeration has been the diversification of banks into insurance activities, and especially life insurance. This book provides a comprehensive analysis of the concept and market characteristics of the bancassurance phenomenon. It also evaluates the impact of banking risks associated with diversification into insurance business.

This book is the culmination and synthesis of Viscusi's distinguished work in the social regulation of risk.

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

This book analyses investment management policies for institutional investors. It is composed of four parts. The first one analyses the various types of institutional investors, institutions which, with different objectives, professionally manage portfolios of financial and real assets on behalf of a wide variety of individuals. This part goes on with an in-depth analysis of the economic, technical and regulatory characteristics of the different types of investment funds and of other types of asset management products, which have a high rate of substitutability with investment funds and represent their natural competitors. The second part of the book identifies and investigates the stages of the investment portfolio management. Given the importance of strategic asset allocation in explaining the ex post performance of any type of investment portfolio, this part provides an in-depth analysis of asset allocation methods, illustrating the different theoretical and operational solutions available to institutional investors. The third part describes performance assessment, its breakdown and risk control, with an in-depth examination of performance evaluation techniques, returns-based style analysis approaches, and performance attribution models. Finally, the fourth part deals with the subject of diversification into alternative asset classes, identifying the common characteristics and their possible role within the framework of investment management policies. This part analyses hedge funds, private equity, real estate, commodities, and currency overlay techniques.

The focus of this book is on the two major areas of risk theory: aggregate claims distributions and ruin theory. For aggregate claims distributions, detailed descriptions are given of recursive techniques that can be used in the individual and collective risk models. For the collective model, the book discusses different classes of counting distribution, and presents recursion schemes for probability functions and moments. For the individual model, the book illustrates the three most commonly applied techniques. Beyond the classical topics in ruin theory, this new edition features an expanded section covering time of ruin problems, Gerber-Shiu functions, and the application of De Vylder approximations. Suitable for a first course in insurance risk theory and extensively classroom tested, the book is accessible to readers with a solid understanding of basic probability. Numerous worked examples are included and each chapter concludes with exercises for which complete solutions are provided.

This book provides an introduction to investment appraisal and presents a range of methods and models, some of which are not widely known, or at least not well covered by other textbooks. Each approach is thoroughly described, evaluated and illustrated using examples, with its assumptions and limitations analyzed in terms of their implications for investment decision-making practice. Investment decisions are of vital importance to all companies. Getting these decisions right is crucial but, due to a complex and dynamic business environment, this remains a challenging management task. Effective appraisal methods are valuable tools in supporting investment decision-making. As organisations continue to seek a competitive edge, it is increasingly important that management accountants and strategic decision-makers have a sound knowledge of these tools.

In the 1990s, large insurance companies failed in virtually every major market, prompting a fierce and ongoing debate about how to better protect policyholders. Drawing lessons from the failures of four insurance companies, "When Insurers Go Bust" dramatically advances this debate by arguing that the current approach to insurance regulation should be replaced with mechanisms that replicate the governance of non-financial firms.

Rather than immediately addressing the minutiae of supervision, Guillaume Plantin and Jean-Charles Rochet first identify a fundamental economic rationale for supervising the solvency of insurance companies: policyholders are the "bankers" of insurance companies. But because policyholders are too dispersed to effectively monitor insurers, it might be efficient to delegate monitoring to an institution--a prudential authority. Applying recent developments in corporate finance theory and the economic theory of organizations, the authors describe in practical terms how such authorities could be created and given the incentives to behave exactly like bankers behave toward borrowers, as "tough" claimholders.

Mit Hilfe der agentenbasierten Modellierung (ABM) lassen sich komplexe Systeme wie Finanzmarkte, Gesellschaften, Infrastrukturnetze, Organisationen oder ahnliches detailliert darstellen und anschliessend realitatsnah simulieren. Aufgrund der zentralen Fahigkeit der ABM, das Zusammenspiel einer Vielzahl heterogener Agenten miteinander sowie mit ihrer Umgebung recht einfach zu modellieren, koennen Phanomene auf der Makroebene durch Ereignisse auf der Mikroebene verstandlich erklart, zuverlassig prognostiziert oder auch in experimenteller Weise erkundet werden. Diese computergestutzte Methode bietet zahlreiche Vorteile, weshalb sie heutzutage bereits in vielen Anwendungsbereichen erfolgreich eingesetzt wird. So kann beispielsweise, abhangig von der gewahlten Modellierungsumgebung bzw. der verwendeten Software, eine grundlegende Einarbeitung ohne groesseren Zeitaufwand und vor allem auch ohne entsprechende Programmierkenntnisse autodidaktisch geschehen. Diese interdisziplinar angelegte Einfuhrung ermoeglicht einer breiten Zielgruppe einen Einblick in die Grundlagen der ABM.