This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance. It simultaneously introduces the relevant tools for developing and analyzing neural networks, in a style that is mathematically rigorous yet accessible. Artificial intelligence and neural networks offer a powerful alternative to statistical methods for analyzing data. Various topics are covered from feed-forward networks to deep learning, such as Bayesian learning, boosting methods and Long Short Term Memory models. All methods are applied to claims, mortality or time-series forecasting. Requiring only a basic knowledge of statistics, this book is written for masters students in the actuarial sciences and for actuaries wishing to update their skills in machine learning. This is the third 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.

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

In a time before bonds, treasury notes, or central banks, there were tontines. These were schemes in which a group of investors lent money to a government, corporation, or king, similar to a modern-day loan syndicate. But unlike conventional debt, periodic interest payments were distributed only to survivors. As tontine nominees died, the income of survivors correspondingly increased. Morbid, perhaps, but this was one of the earliest forms of longevity insurance in which the pool shared the risk. Moshe A. Milevsky tells the story of the first tontine issued by the English government in 1693, known as King William's tontine, intended to finance the war against French King Louis XIV. He explains how tontines work, the financial and economic thinking behind them, as well as why they fell into disrepute. Milevsky concludes with a provocative argument that suitably modified tontines should be resurrected for twenty-first-century retirement income planning.

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.

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.

Originally published in 1938, this book presents the content of a paper read before the Insurance Institute of London by the leading actuary and statistician Sir William P. Elderton (1877-1962). The text provides an account regarding the impossibility of insurance companies giving people compensation in the event of damage from enemy military action. This book will be of value to anyone with an interest in economic history, military history and the insurance industry.

This work, now in a thoroughly revised second edition, presents the economic foundations of financial markets theory from a mathematically rigorous standpoint and offers a self-contained critical discussion based on empirical results. It is the only textbook on the subject to include more than two hundred exercises, with detailed solutions to selected exercises. Financial Markets Theory covers classical asset pricing theory in great detail, including utility theory, equilibrium theory, portfolio selection, mean-variance portfolio theory, CAPM, CCAPM, APT, and the Modigliani-Miller theorem. Starting from an analysis of the empirical evidence on the theory, the authors provide a discussion of the relevant literature, pointing out the main advances in classical asset pricing theory and the new approaches designed to address asset pricing puzzles and open problems (e.g., behavioral finance). Later chapters in the book contain more advanced material, including on the role of information in financial markets, non-classical preferences, noise traders and market microstructure. This textbook is aimed at graduate students in mathematical finance and financial economics, but also serves as a useful reference for practitioners working in insurance, banking, investment funds and financial consultancy. Introducing necessary tools from microeconomic theory, this book is highly accessible and completely self-contained. Advance praise for the second edition: "Financial Markets Theory is comprehensive, rigorous, and yet highly accessible. With their second edition, Barucci and Fontana have set an even higher standard!"Darrell Duffie, Dean Witter Distinguished Professor of Finance, Graduate School of Business, Stanford University "This comprehensive book is a great self-contained source for studying most major theoretical aspects of financial economics. What makes the book particularly useful is that it provides a lot of intuition, detailed discussions of empirical implications, a very thorough survey of the related literature, and many completely solved exercises. The second edition covers more ground and provides many more proofs, and it will be a handy addition to the library of every student or researcher in the field."Jaksa Cvitanic, Richard N. Merkin Professor of Mathematical Finance, Caltech "The second edition of Financial Markets Theory by Barucci and Fontana is a superb achievement that knits together all aspects of modern finance theory, including financial markets microstructure, in a consistent and self-contained framework. Many exercises, together with their detailed solutions, make this book indispensable for serious students in finance."Michel Crouhy, Head of Research and Development, NATIXIS

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.

Originally published in 1931, this book was written to provide actuarial students with a guide to mathematics, with information on elementary trigonometry, finite differences, summation, differential and integral calculus, and probability. Examples are included throughout. This book will be of value to anyone with an interest in actuarial practice and its relationship with aspects of mathematics.

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.

Originally published in 1955, on behalf of the Institute of Actuaries and the Faculty of Actuaries, this book forms the first of two volumes on actuarial practice in relation to mortality and other investigations. Taken together, both volumes were written to meet the requirements of the Examination Syllabus of the Institute of Actuaries. Volume one provides 'elementary accounts of the derivation of mortality and other rates according to age, of the smoothing of such rates and of the construction of Mortality and Sickness Tables'. This book will be of value to anyone with an interest in the development of actuarial practice.

Originally published in 1939, this book forms the first part of a two-volume series on the mathematics required for the examinations of the Institute of Actuaries, focusing on elementary differential and integral calculus. 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.

Originally published in 1930, this book was formed from the content of three lectures delivered at London University during March of that year. The text provides a concise discussion of the relationship between theoretical statistics and actuarial science. This book will be of value to anyone with an interest in the actuarial profession, statistics and the history of finance.

Originally published in 1932, as part of the Institute of Actuaries Students' Society's Consolidation of Reading Series, this book was written to provide actuarial students with a guide 'to bridging the gap between the strict mathematics of life contingencies and the severely practical problems of Life Office Valuations'. This book will be of value to anyone with an interest in the actuarial profession and the history of finance.

The Health Care Safety Net in a Post-Reform World examines how national health care reform will impact safety net programs that serve low-income and uninsured patients. The "safety net" refers to the collection of hospitals, clinics, and doctors who treat disadvantaged people, including those without insurance, regardless of their ability to pay. Despite comprehensive national health care reform, over twenty million people will remain uninsured. And many of those who obtain insurance from reform will continue to face shortages of providers in their communities willing or able to serve them. As the demand for care grows with expanded insurance, so will the pressure on an overstretched safety net. This book, with contributions from leading health care scholars, is the first comprehensive assessment of the safety net in over a decade. Rather than view health insurance and the health care safety net as alternatives to each other, it examines their potential to be complementary aspects of a broader effort to achieve equity and quality in health care access. It also considers whether the safety net can be improved and strengthened to a level that can provide truly universal access, both through expanded insurance and the creation of a well-integrated and reasonably supported network of direct health care access for the uninsured. Seeing safety net institutions as key components of post-health care reform in the United States-as opposed to stop-gap measures or as part of the problem-is a bold idea. And as presented in this volume, it is an idea whose time has come.

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.

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.

Learn from some of the most respected women in insurance and risk management Women to Watch presents the advice, guidance, and lessons learned from the most successful women in risk management and insurance. For the past 10 years, Business Insurance has highlighted key women in the field—women noted for their skills, accomplishments, courage, wisdom, and everyday steel. In this book, these women present their stories in their own words; through essays and anecdotes about key issues, key moments, and crucial lessons, former Women to Watch honorees provide a glimpse into what it takes to make it. They've battled obstacles, hurdles, and institutionalized career impediments—and they've come out on top; their stories provide inspiration, motivation, and concrete, real-world guidance for all women who seek advancement in the insurance and risk management fields. Business Insurance receives several hundred Women to Watch nominations every year; of those, they honor only 25. These women are the cream of the crop, and their unique insights into all-too-common experiences can help us all rise to the top. Shatter the glass ceiling and close the wage gap Shift your perspective on what "work/life balance" means Celebrate and navigate the workplace's changing demographics Learn how successful women get it done The insurance and risk management fields look very different today than they did even 10 years ago; there is much to celebrate, but even more still left to be done. There is no substitute for the wisdom of experience, and the best lessons come from those who have navigated the path successfully. Women to Watch provides unique insight into the women who have conquered the field, and critical perspective for those who will follow.

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 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.

The Savvy Investor’s Pocket Guide is a self-improvement guide that provides ordinary people with the tools to become financially savvy quickly and successfully. Identifying the common mistakes people make when dealing with their finances, the guide sets out how to rectify them. It also highlights how one can achieve financial independence by cutting back on some expenses, like luxury cars, and the benefits of starting to save as early as possible.

The book also explains in easy-to-understand terms how to draw up and stick to a budget; make shrewd investments in various investment vehicles; consolidate and eliminate debt; draw up a will; get the most out of short-term and life insurance; and save enough money to retire.

The Savvy Investor’s Pocket Guide serves as a wake-up call to stop wasting money and start investing for a financially secure future. A must-read for anyone who wants to not only improve their finances, but also their life in general.

Focusing on what actuaries need in practice, this introductory account provides readers with essential tools for handling complex problems and explains how simulation models can be created, used and re-used (with modifications) in related situations. The book begins by outlining the basic tools of modelling and simulation, including a discussion of the Monte Carlo method and its use. Part II deals with general insurance and Part III with life insurance and financial risk. Algorithms that can be implemented on any programming platform are spread throughout and a program library written in R is included. Numerous figures and experiments with R-code illustrate the text. The author's non-technical approach is ideal for graduate students, the only prerequisites being introductory courses in calculus and linear algebra, probability and statistics. The book will also be of value to actuaries and other analysts in the industry looking to update their skills.

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.