Now in its fifth edition, this book offers a detailed yet concise introduction to the growing field of statistical applications in finance. The reader will learn the basic methods for evaluating option contracts, analyzing financial time series, selecting portfolios and managing risks based on realistic assumptions about market behavior. The focus is both on the fundamentals of mathematical finance and financial time series analysis, and on applications to specific problems concerning financial markets, thus making the book the ideal basis for lectures, seminars and crash courses on the topic. All numerical calculations are transparent and reproducible using quantlets. For this new edition the book has been updated and extensively revised and now includes several new aspects such as neural networks, deep learning, and crypto-currencies. Both R and Matlab code, together with the data, can be downloaded from the book's product page and the Quantlet platform. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allow readers to reproduce the tables, pictures and calculations inside this Springer book. "This book provides an excellent introduction to the tools from probability and statistics necessary to analyze financial data. Clearly written and accessible, it will be very useful to students and practitioners alike." Yacine Ait-Sahalia, Otto Hack 1903 Professor of Finance and Economics, Princeton University

Fabian Regele examines the appropriateness of the current regulatory treatment and the general suitability of unlisted infrastructure equity investments for the investment purposes of insurance companies. The employed valuation model of a stylized infrastructure asset delivers sound economic results and is consistent with the typical J-curve effect of the cumulative cash flows of these assets. In the context of a portfolio optimization, the infrastructure asset improves the insurance company's solvency situation by lowering its default probability and increasing its solvency ratio. In regard to the asset's risk contribution, there is a time-variant occurrence of certain risk channels during its lifecycle that leads to substantial differences in the risk exposure of the insurance company.

Canadian financial institutions have been in rapid change in the past five years. In response to these changes, the Department of Finance issued a discussion paper: The Regulation of Canadian Financial Institutions, in April 1985, and the government intends to introduce legislation in the fall. This paper studi.es the combinantion of financial institutions from the viewpoint of ruin probability. In risk theory developed to describe insurance companies [1,2,3,4,5J, the ruin probability of a company with initial reserve (capital) u is 6 1 -:;-7;;f3 u 1jJ(u) = H6 e H6 (1) Here,we assume that claims arrive as a Poisson process, and the claim amount is distributed as exponential distribution with expectation liS. 6 is the loading, i.e., premium charged is (1+6) times expected claims. Financial institutions are treated as "insurance companies": the difference between interest charged and interest paid is regarded as premiums, loan defaults are treated as claims.

Financial Mathematics for Actuarial Science: The Theory of Interest is concerned with the measurement of interest and the various ways interest affects what is often called the time value of money (TVM). Interest is most simply defined as the compensation that a borrower pays to a lender for the use of capital. The goal of this book is to provide the mathematical understandings of interest and the time value of money needed to succeed on the actuarial examination covering interest theory Key Features Helps prepare students for the SOA Financial Mathematics Exam Provides mathematical understanding of interest and the time value of money needed to succeed in the actuarial examination covering interest theory Contains many worked examples, exercises and solutions for practice Provides training in the use of calculators for solving problems A complete solutions manual is available to faculty adopters online

This textbook aims to fill the gap between those that offer a theoretical treatment without many applications and those that present and apply formulas without appropriately deriving them. The balance achieved will give readers a fundamental understanding of key financial ideas and tools that form the basis for building realistic models, including those that may become proprietary. Numerous carefully chosen examples and exercises reinforce the student's conceptual understanding and facility with applications. The exercises are divided into conceptual, application-based, and theoretical problems, which probe the material deeper. The book is aimed toward advanced undergraduates and first-year graduate students who are new to finance or want a more rigorous treatment of the mathematical models used within. While no background in finance is assumed, prerequisite math courses include multivariable calculus, probability, and linear algebra. The authors introduce additional mathematical tools as needed. The entire textbook is appropriate for a single year-long course on introductory mathematical finance. The self-contained design of the text allows for instructor flexibility in topics courses and those focusing on financial derivatives. Moreover, the text is useful for mathematicians, physicists, and engineers who want to learn finance via an approach that builds their financial intuition and is explicit about model building, as well as business school students who want a treatment of finance that is deeper but not overly theoretical.

Occupational pensions are major participants in global financial markets with assets of well over $30 trillion, representing more than 40% of the assets of institutional investors. Some occupational pension funds control assets of over $400 billion, and the largest 300 occupational pension funds each have average assets of over $50 billion. The assets of UK pension funds are equivalent to UK GDP, and US pension fund assets are 83% of US GDP. These statistics highlight the importance of pension funds as major players in financial markets, and the need to understand the behaviour of these large institutional investors. Occupational pensions also play an important, but neglected, role in corporate finance. For example, US company pension schemes account for over 60% of company market value, and yet they are often ignored when analysing companies. This book is based on the substantial body of evidence available from around the world on a topic that has become increasingly important and controversial in recent years. Written for practitioners, students and academics, this book brings together and systematizes a very large international literature from financial economists, actuaries, practitioners, professional organizations, official documents and reports. The underlying focus is the application of the principles of financial economics to occupational pensions, including the work of Nobel laureates such as Merton, Markowitz, Modigliani, Miller and Sharpe, as well as Black. This book will give readers an up-to-date understanding of occupational pensions, the economic issues they face, and some suggestions of how these issues can be tackled. The first section explains the operation of defined benefit and defined contribution pensions, along with some descriptive statistics. The second section covers selected aspects of occupational pensions. The focus of these first two sections is on the economic and financial aspects of pensions, accompanied by some basic information on how they operate. This is followed by three further sections that analyse the investment of pension funds, the corporate finance implications of firms providing pensions for their employees, and annuities.

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.

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.

* Provides a comprehensive coverage of both the deterministic and stochastic models of life contingencies, risk theory, credibility theory, multi-state models, and an introduction to modern mathematical nance. * New edition restructures the material to t into modern computational methods and provides several spreadsheet examples throughout. * Covers the syllabus for the Institute of Actuaries subject CT5, Contingencies * Includes new chapters covering stochastic investments returns, universal life insurance. Elements of option pricing and the Black-Scholes formula will be introduced.

Legal reserve life insurance in the United States and Canada as a modern instrument for meeting the quest for economic security, has attained size and significance unparalleled elsewhere in the world. It holds in a fiduciary capacity more than $60 billion and affects the lives of half the population as owners of life insurance and annuity contracts. Still in process of evolution, it helps to shape the pattern of life and is at the same time being shaped by its own environment. This third volume of lectures issued under the auspices of the S. S. Huebner Foundation for Insurance Education deals with significant trends and problems in life insurance at the midpoint of the twentieth century. In so doing, it bears testimony to the vitality and adaptive power of this modem device for sharing one another's burdens.

This Brief presents a benefit-cost analysis of the National Flood Insurance Program (NFIP) as well as an evaluation of its cumulative socioeconomic effects. Created by Congress in 1968, the NFIP provides flood insurance protection to property owners, in return for local government commitment to sound floodplain management. Since 1994, the NFIP has included a Flood Mitigation Assistance (FMA) program to provide local communities with support for flood mitigation. This book offers quantitative evidence of the net social benefit of the NFIP for the years 1996-2010, including an independent assessment of the consumer benefit. Second, it provides distributionally weighted analysis to show the socioeconomic effects of payments and claims. Finally, this Brief includes an analysis of the change in government revenue attributable to the NFIP and FMA programs. The models used in each component of the analysis are usable by others for extending and revising the analysis. Providing a comprehensive analysis of this increasingly important federal policy, this Brief will be of use to students of environmental economics and public policy as well as those interested in risk management in the era of climate change.

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.

Following events such as the 2008 credit crunch and financial crisis, many sectors of the economy suffered; nevertheless, reinsurance managed to maintain its strong position in the market industry and the global economic arena. Arbitration has traditionally been used in reinsurance, due in no small part to its effective, time- and cost-efficient nature. Hence, reinsurance contracts often include arbitration clauses requiring that any and all disputes arising under the contract be resolved by arbitration. The current work provides an in-depth treatment of reinsurance arbitrations and the various issues they entail in the most representative jurisdictions for such arbitrations. It also aims to pave the way for future directions of arbitration in the context of reinsurance. Any participant in the reinsurance market arena looking for a roadmap to the fascinating legal environment in which reinsurance arbitrations operate would be well advised to have this book on hand.

An indispensable survival guide for high-net-worth individuals and their advisors If you're like most high-net-worth individuals nowadays, you are underinsured, over-targeted in litigation, and dangerously exposed to risks that can profoundly jeopardize your lifestyle and rob you and your family of what they ve worked so hard to achieve. Don't risk it all for lack of basic knowledge. Read Wealth Exposed and get the practical guidance and real-world solutions you need to protect your hard-earned assets. Written by a leading national risk management expert with extensive experience advising high-net-worth individuals, Wealth Exposed alerts you to the full range of risks to which high-net-worth individuals are exposed, while schooling you in your risk management ABCs. Designed for high-net-worth individuals, their CPAs, attorneys, family office managers, and others, Wealth Exposed arms you with the knowledge and tools you need to protect yourself, or your clients, from mayhem. * Provides a framework for creating a comprehensive personal risk management strategy * Contains numerous real-life anecdotes and case studies drawn from the author's case files * Discusses insurance solutions for property, cars, jewelry, aircraft, watercraft, wine, cars, and more Read Wealth Exposed and find out what you need to know to protect your assets from risk and secure your peace of mind.

Originally published in 1939, this book forms the second part of a two-volume series on the mathematics required for the examinations of the Institute of Actuaries, focusing on finite differences, probability and elementary statistics. Miscellaneous examples are included at the end of the text. This book will be of value to anyone with an interest in actuarial science and mathematics.

Focusing on life insurance and pensions, this book addresses various aspects of modelling in modern insurance: insurance liabilities; asset-liability management; securitization, hedging, and investment strategies. With contributions from internationally renowned academics in actuarial science, finance, and management science and key people in major life insurance and reinsurance companies, there is expert coverage of a wide range of topics, for example: models in life insurance and their roles in decision making; an account of the contemporary history of insurance and life insurance mathematics; choice, calibration, and evaluation of models; documentation and quality checks of data; new insurance regulations and accounting rules; cash flow projection models; economic scenario generators; model uncertainty and model risk; model-based decision-making at line management level; models and behaviour of stakeholders. With author profiles ranging from highly specialized model builders to decision makers at chief executive level, this book should prove a useful resource to students and academics of actuarial science as well as practitioners.

Health Insurance aims at filling a gap in actuarial literature, attempting to solve the frequent misunderstanding in regards to both the purpose and the contents of health insurance products (and 'protection products', more generally) on the one hand, and the relevant actuarial structures on the other. In order to cover the basic principles regarding health insurance techniques, the first few chapters in this book are mainly devoted to the need for health insurance and a description of insurance products in this area (sickness insurance, accident insurance, critical illness covers, income protection, long-term care insurance, health-related benefits as riders to life insurance policies). An introduction to general actuarial and risk-management issues follows. Basic actuarial models are presented for sickness insurance and income protection (i.e. disability annuities). Several numerical examples help the reader understand the main features of pricing and reserving in the health insurance area. A short introduction to actuarial models for long-term care insurance products is also provided. Advanced undergraduate and graduate students in actuarial sciences; graduate students in economics, business and finance; and professionals and technicians operating in insurance and pension areas will find this book of benefit.

The book offers a comprehensive analysis of insurance intermediaries from a capital markets perspective. It presents an up-to-date market perspective, drawing the attention to the important trends and developments in the industry and recommends strategies to secure future growth. Further, it offers a detailed description of a valuation approach specifically tailored to small and mid-sized brokers. Research on insurance intermediary M&A reveals that positive abnormal returns are achieved for acquirers. The author points out which factors lead to value creation and investigates performance drivers in the tied agent channel.

This book explores the central problems underlying the insurance of aviation war and terrorism risks and associated perils. It critically analyses the reasons why conventional insurance markets are unwilling or unable to provide sustainable insurance coverage for aviation war and terrorism risks in the aftermath of catastrophic events such as the terrorist events of September 11, 2001. It also examines some of the prominent concepts proposed and/or implemented after 9/11 to determine whether and to what extent these concepts avoid identified pitfalls. Like many of life's essentials, the importance of insurance is most evident when it is not available. The sheer scale and magnitude of the insurance losses that followed 9/11 caused conventional insurance markets (which hitherto had been offering generous insurance coverage for aviation war and terrorism risks to air transport operators for little or no premium) to withdraw coverage forthwith. The ensuing absence or insufficiency of commercial insurance coverage for aviation war and terrorism risks has sparked a global search for viable and sustainable alternatives. Ten years have since elapsed, and despite numerous efforts, the fundamental problems remain unresolved. The book proceeds on the premise that the underlying issues are not entirely legal in nature; they have immense economic, psychological and policy implications that cannot be underestimated. A multidisciplinary approach is therefore used in examining the issues, drawing heavily upon analytical principles adapted from law and economics and behavioural law and economics. It is hoped that the resulting study will be beneficial not only to lawyers and those interested in aviation insurance but also to economists, air transport insurance program managers, capital market investors and governmental policymakers, both at the national and international levels.

The main purpose of the book is to show how a viscosity approach can be used to tackle control problems in insurance. The problems covered are the maximization of survival probability as well as the maximization of dividends in the classical collective risk model. The authors consider the possibility of controlling the risk process by reinsurance as well as by investments. They show that optimal value functions are characterized as either the unique or the smallest viscosity solution of the associated Hamilton-Jacobi-Bellman equation; they also study the structure of the optimal strategies and show how to find them. The viscosity approach was widely used in control problems related to mathematical finance but until quite recently it was not used to solve control problems related to actuarial mathematical science. This book is designed to familiarize the reader on how to use this approach. The intended audience is graduate students as well as researchers in this area.

In four empirical studies, this cumulative work provides valuable insights for marketing executives of statutory health insurance funds and social media responsible. Paper I and II provide evidence about the importance and interplay of price and corporate reputation on the market of statutory health insurance. The second part changes perspective to corporate communication issues in the social media environment. By introducing the "social media brand value chain" paper III conducts a literature review of state of the art social media research. By means of a field experiment on Facebook, paper IV shows that brands do not necessarily have to communicate via their brand fan pages in a highly interactive and vivid way to positively influence attitudinal measures among their fan base.

How much is a human life worth? Individuals, families, companies, and governments routinely place a price on human life. The calculations that underlie these price tags are often buried in technical language, yet they influence our economy, laws, behaviors, policies, health, and safety. These price tags are often unfair, infused as they are with gender, racial, national, and cultural biases that often result in valuing the lives of the young more than the old, the rich more than the poor, whites more than blacks, Americans more than foreigners, and relatives more than strangers. This is critical since undervalued lives are left less-protected and more exposed to risk. Howard Steven Friedman explains in simple terms how economists and data scientists at corporations, regulatory agencies, and insurance companies develop and use these price tags and points a spotlight at their logical flaws and limitations. He then forcefully argues against the rampant unfairness in the system. Readers will be enlightened, shocked, and, ultimately, empowered to confront the price tags we assign to human lives and understand why such calculations matter.

Natural disasters such as large-scale flooding are on the increase. Climate change directly affects our basis of existence. This includes residential buildings, and commercial and industrial properties. The author highlights the requirements that will have to be met by a protection system for buildings in the future. Insurance against natural hazards lies at the heart of such a system. The insurance systems of Germany, France, Spain, Switzerland and the USA are presented. The author explains what type of insurance system is best suited to meet the challenge of climate change. The starting point of the legal section is statutory insurance with a monopoly. The question of whether such insurance is compatible with Swiss and EU law is examined. Keywords in this respect are economic freedom, competition, services of general interest and universal service.

professional-standards-review organizations (PSRO) in defining quality of care for the Medicare program; it is a "shared responsibility of health professionals and government to provide a reasonable basis for confidence that action will be taken, both to assess whether services meet professionally recognized standards and to correct any deficiencies that may be found" (p. 14). Similar pronouncements have been made for the quality assurance activities of the Department of Defense's CHAMPUS program and of the 1980s successor to the PSROs, the federally designated peer-review organizations (PROs), established to ensure quality and utilization-efficient care for Medicare. Links between the federal and state gov ernments and between professional associations and private review entities have been developed to make this "shared responsibility" manifest in the delivery and reimbursement of health services. This responsibility is seen in light of both pro fessional and legal accountability, a view noted by Gibson and Singhas (1978) and Alger (1980). Accountability, then, becomes a concentric concept that elaborates on the pure view of quality and reflects the federal government's consumer protection activities during the 1970s. The Joint Commission on Accreditation of Hospitals (JCAH), which has pro vided another primary historical leadership role in defining quality assurance, has promoted the evolution of the concept of resource limitations as a part of the defini tion of quality assurance.

Backward stochastic differential equations with jumps can be used to solve problems in both finance and insurance. Part I of this book presents the theory of BSDEs with Lipschitz generators driven by a Brownian motion and a compensated random measure, with an emphasis on those generated by step processes and Levy processes. It discusses key results and techniques (including numerical algorithms) for BSDEs with jumps and studies filtration-consistent nonlinear expectations and g-expectations. Part I also focuses on the mathematical tools and proofs which are crucial for understanding the theory. Part II investigates actuarial and financial applications of BSDEs with jumps. It considers a general financial and insurance model and deals with pricing and hedging of insurance equity-linked claims and asset-liability management problems. It additionally investigates perfect hedging, superhedging, quadratic optimization, utility maximization, indifference pricing, ambiguity risk minimization, no-good-deal pricing and dynamic risk measures. Part III presents some other useful classes of BSDEs and their applications. This book will make BSDEs more accessible to those who are interested in applying these equations to actuarial and financial problems. It will be beneficial to students and researchers in mathematical finance, risk measures, portfolio optimization as well as actuarial practitioners.