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.

How are the costs of health insurance premiums determined? Should costs vary according to indicators of risk? How much do premiums vary with risk? Do the healthy subsidize the unhealthy? Should public subsidies vary according to economic status and risk? This book examines these questions.

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.

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.

Investment Management for Insurers details all phases of the investment management process for insurers as well as fixed income instruments and derivatives and state-of-the-art analytical tools for valuing securities and measuring risk. Complete coverage includes: a general overview of issues, fixed income products, valuation, measuring and controlling interest rate risk, and equity portfolio management.

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

21st Century Americans face challenges more daunting than those experienced by our forefathers and mothers during the Civil War or the Great Depression. The Five Gifts aims to show individuals and families that they can use the power, flexibility, and versatility of participating whole life insurance from a mutual insurance company to... maintain their uniquely American lifestyle insulate themselves from the greed for the accretion of power in Washington and the greed for our money on Wall Street. The 3600 words in this small book reverberate with the wisdom of millions of successful Americans that quietly created wealth using participating whole life insurance as the foundation for their personal economy

The cost of malpractice insurance to physicians has been increasing in recent years, as has the threat to physicians of being sued. This book describes and analyzes the workings of the market for physicians' liability insurance. The authors use their own data and other sources to study questions such as: Is the market for medical malpractice insurance competitive? Has the profitability of medical malpractice insurance been excessive? Why do malpractice insurers demand reinsurance? What effect has insurance regulation had on premiums? And it explores what experience rating is and how it is done.

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.

Actuaries have access to a wealth of individual data in pension and insurance portfolios, but rarely use its full potential. This book will pave the way, from methods using aggregate counts to modern developments in survival analysis. Based on the fundamental concept of the hazard rate, Part I shows how and why to build statistical models, based on data at the level of the individual persons in a pension scheme or life insurance portfolio. Extensive use is made of the R statistics package. Smooth models, including regression and spline models in one and two dimensions, are covered in depth in Part II. Finally, Part III uses multiple-state models to extend survival models beyond the simple life/death setting, and includes a brief introduction to the modern counting process approach. Practising actuaries will find this book indispensable, and students will find it helpful when preparing for their professional examinations.

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.

Dieses Sachbuch bietet privaten Anlegern eine erprobte Methode, Aktien mit einfachen Mitteln in drei Dimensionen zu analysieren, um eine fundierte Kaufentscheidung zu treffen. Chancen und Risiken werden aufgedeckt und abgewogen, so dass Anleger gemass ihrer eigenen Risikobereitschaft handeln koennen. Im ersten Schritt wird anhand einer einfachen Kennziffernanalyse die finanzielle Situation der jeweiligen Aktiengesellschaft beleuchtet, um schnell und moeglichst treffsicher finanziell solide Unternehmen zu finden. Darauf folgt die Bewertung der Analystenschatzungen mit selbst definierten Risikoparametern anhand eines einfach zu handhabenden finanzmathematischen Modells. Schliesslich folgt die Bestimmung des Kaufzeitpunktes mithilfe einer Chartanalyse. Mit dieser Methode bilden sich Anleger in drei Dimensionen zu Chance und Risiko der Aktie eine Meinung. Damit steigt die Wahrscheinlichkeit, dass die Chancen die Risiken ubersteigen. Das stets mit der Geldanlage in Aktien verbundene Verlustrisiko lasst sich auf diese Weise verringern. Solche Aktien koennen tendenziell einige Zeit im Depot ruhen. Damit eignet sich diese Methode sehr gut fur Anleger, die selbst uber ihre Aktienanlagen entscheiden moechten und nicht taglich ihr Depot uberwachen wollen oder koennen.

Dieses Buch fu hrt mathematisch pra zise in die stochastischen Modelle ein, die bei der Bewertung von Schadensbetra gen fu r Versicherungen von besonderer Bedeutung sind. Abgedeckt werden Modelle fu r kleine und grosse Schadensbetra ge, Modelle fur extreme Ereignisse, Risikomasse, sowie die stochastischen Prozesse der aktuariellen Risikotheorie: Za hlprozesse, zusammengesetzte Prozesse, Erneuerungsprozesse und Poisson-Prozesse. Zentrales Thema ist die Bestimmung der Ruinwahrscheinlichkeit des Versicherers. In diesem Zusammenhang werden analytische Loesungen, asymptotische Approximationen sowie numerische Algorithmen wie die Monte-Carlo-Simulation vorgestellt. Gute Grundkenntnisse in der Wahrscheinlichkeitstheorie werden vorausgesetzt, doch ein Anhang mit den wichtigsten Resultaten erleichtert die Lekture dieses Buches. Das Buch ist geeignet fur fortgeschrittene Bachelor- oder Masterstudierende der Mathematik oder Statistik mit entsprechender Vertiefungsrichtung. Daruber hinaus richtet es sich an Kandidaten, die das Diplom der Schweizerischen Aktuarvereinigung (SAV) erwerben oder sich auf das Diplom der Society of Actuaries (SOA) vorbereiten moechten. Auch praktizierende Versicherungsmathematiker, die ihre technischen Kenntnisse vertiefen wollen, werden angesprochen. Die vorliegende zweite Auflage enthalt theoretische Erganzungen, insbesondere Resultate uber die Fluktuationen der Summe und der zusammengesetzten Summe, d.h. des Gesamtschadensbetrages einer Periode. Daruber hinaus erleichtern nun neue Aufgaben verschiedener Schwierigkeitsgrade und mit ausfuhrlichen Loesungen das Selbststudium.

Throughout history, innovators have disrupted existing financial services norms to change the landscape of the marketplace. Disruptive Fintech briefly traces fractional reserves, the creation of bank currency that traded at a premium to bullion value, central bank regulation, securitization of assets and loans, the current state of digital currency and electronic payments. The author then looks toward the future of fintech and the forces of disruption that will change the landscape of financial life as we know it. Using over 100 interviews with thought leading CEOs, this book develops a methodology to identify financial services that are ripe for innovation and discusses how innovative thinking can be used as a disruptive weapon to attack incumbents and create effective new fintech models. The book discusses How to relate historical innovations and disruptions in financial services to the current landscape How to follow a process to identify the threats facing incumbent processes and businesses, and how innovative thinking can be used as a disruptive weapon to attack incumbents and create effective new fintech models How many fintech innovations will be constructed by re-arranging or re-purposing existing core processes In this insightful book, author James Deitch, CPA CMB, argues that some of today's high-flying fintech innovators will flourish, but many may perish as the fire of innovation consumes those fintechs that are slow to monetize their promises.