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| bachelor's in actuarial science: Actuarial Mathematics Harry H. Panjer, American Mathematical Society, 1986 These lecture notes from the 1985 AMS Short Course examine a variety of topics from the contemporary theory of actuarial mathematics. Recent clarification in the concepts of probability and statistics has laid a much richer foundation for this theory. Other factors that have shaped the theory include the continuing advances in computer science, the flourishing mathematical theory of risk, developments in stochastic processes, and recent growth in the theory of finance. In turn, actuarial concepts have been applied to other areas such as biostatistics, demography, economic, and reliability engineering. |
| bachelor's in actuarial science: Formulae and Tables for Examinations of the Faculty of Actuaries and the Institute of Actuaries , 2002-01-01 |
| bachelor's in actuarial science: Hire Purpose Deanna Mulligan, Greg Shaw, 2020-10-13 A WALL STREET JOURNAL BUSINESS BESTSELLER The future of work is already here, and what this future looks like must be a pressing concern for the current generation of leaders in both the private and public sectors. In the next ten to fifteen years, rapid change in a post-pandemic world and emerging technology will revolutionize nearly every job, eliminate some, and create new forms of work that we have yet to imagine. How can we survive and thrive in the face of such drastic change? Deanna Mulligan offers a practical, broad-minded look at the effects of workplace evolution and automation and why the private sector needs to lead the charge in shaping a values-based response. With a focus on the power of education, Mulligan proposes that the solutions to workforce upheaval lie in reskilling and retraining for individuals and companies adapting to rapid change. By creating lifelong learning opportunities that break down boundaries between the classroom and the workplace, businesses can foster personal and career well-being and growth for their employees. Drawing on her own experiences, historical examples, and reports from the frontiers where these issues are unfolding, Mulligan details how business leaders can prepare for and respond to technological disruption. Providing a framework for concrete and meaningful action, Hire Purpose is an essential read about the transformations that will shape the next decade and beyond. |
| bachelor's in actuarial science: Computational Actuarial Science with R Arthur Charpentier, 2014-08-26 A Hands-On Approach to Understanding and Using Actuarial ModelsComputational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/ |
| bachelor's in actuarial science: War, Peace, and Security Jacques Fontanel, Manas Chatterji, 2008-10-13 In the name of international and domestic security, billions of dollars are wasted on unproductive military spending in both developed and developing countries, when millions are starving and living without basic human needs. This book contains articles relating to military spending, military industrial establishments, and peace keeping. |
| bachelor's in actuarial science: My Life as a Quant Emanuel Derman, 2016-01-11 In My Life as a Quant, Emanuel Derman relives his exciting journey as one of the first high-energy particle physicists to migrate to Wall Street. Page by page, Derman details his adventures in this field—analyzing the incompatible personas of traders and quants, and discussing the dissimilar nature of knowledge in physics and finance. Throughout this tale, he also reflects on the appropriate way to apply the refined methods of physics to the hurly-burly world of markets. |
| bachelor's in actuarial science: Linear Model Theory Dale L. Zimmerman, 2020-11-02 This textbook presents a unified and rigorous approach to best linear unbiased estimation and prediction of parameters and random quantities in linear models, as well as other theory upon which much of the statistical methodology associated with linear models is based. The single most unique feature of the book is that each major concept or result is illustrated with one or more concrete examples or special cases. Commonly used methodologies based on the theory are presented in methodological interludes scattered throughout the book, along with a wealth of exercises that will benefit students and instructors alike. Generalized inverses are used throughout, so that the model matrix and various other matrices are not required to have full rank. Considerably more emphasis is given to estimability, partitioned analyses of variance, constrained least squares, effects of model misspecification, and most especially prediction than in many other textbooks on linear models. This book is intended for master and PhD students with a basic grasp of statistical theory, matrix algebra and applied regression analysis, and for instructors of linear models courses. Solutions to the book’s exercises are available in the companion volume Linear Model Theory - Exercises and Solutions by the same author. |
| bachelor's in actuarial science: An Introduction to the Mathematics of Finance Stephen Garrett, 2013-05-28 An Introduction to the Mathematics of Finance: A Deterministic Approach, Second edition, offers a highly illustrated introduction to mathematical finance, with a special emphasis on interest rates. This revision of the McCutcheon-Scott classic follows the core subjects covered by the first professional exam required of UK actuaries, the CT1 exam. It realigns the table of contents with the CT1 exam and includes sample questions from past exams of both The Actuarial Profession and the CFA Institute. With a wealth of solved problems and interesting applications, An Introduction to the Mathematics of Finance stands alone in its ability to address the needs of its primary target audience, the actuarial student. - Closely follows the syllabus for the CT1 exam of The Institute and Faculty of Actuaries - Features new content and more examples - Online supplements available: http://booksite.elsevier.com/9780080982403/ - Includes past exam questions from The Institute and Faculty of Actuaries and the CFA Institute |
| bachelor's in actuarial science: Actuaries' Survival Guide Fred Szabo, 2012-06-25 What would you like to do with your life? What career would allow you to fulfill your dreams of success? If you like mathematics—and the prospect of a highly mobile, international profession—consider becoming an actuary. Szabo's Actuaries' Survival Guide, Second Edition explains what actuaries are, what they do, and where they do it. It describes exciting combinations of ideas, techniques, and skills involved in the day-to-day work of actuaries. This second edition has been updated to reflect the rise of social networking and the internet, the progress toward a global knowledge-based economy, and the global expansion of the actuarial field that has occurred since the first edition. - Includes details on the new structures of the Society of Actuaries' (SOA) and Casualty Actuarial Society (CAS) examinations, as well as sample questions and answers - Presents an overview of career options, includes profiles of companies & agencies that employ actuaries. - Provides a link between theory and practice and helps readers understand the blend of qualitative and quantitative skills and knowledge required to succeed in actuarial exams - Includes insights provided by over 50 actuaries and actuarial students about the actuarial profession - Author Fred Szabo has directed the Actuarial Co-op Program at Concordia for over fifteen years |
| bachelor's in actuarial science: Actex Study Manual , 2010 |
| bachelor's in actuarial science: Introduction to Actuarial and Financial Mathematical Methods Stephen Garrett, 2015-05-02 This self-contained module for independent study covers the subjects most often needed by non-mathematics graduates, such as fundamental calculus, linear algebra, probability, and basic numerical methods. The easily-understandable text of Introduction to Actuarial and Mathematical Methods features examples, motivations, and lots of practice from a large number of end-of-chapter questions. For readers with diverse backgrounds entering programs of the Institute and Faculty of Actuaries, the Society of Actuaries, and the CFA Institute, Introduction to Actuarial and Mathematical Methods can provide a consistency of mathematical knowledge from the outset. - Presents a self-study mathematics refresher course for the first two years of an actuarial program - Features examples, motivations, and practice problems from a large number of end-of-chapter questions designed to promote independent thinking and the application of mathematical ideas - Practitioner friendly rather than academic - Ideal for self-study and as a reference source for readers with diverse backgrounds entering programs of the Institute and Faculty of Actuaries, the Society of Actuaries, and the CFA Institute |
| bachelor's in actuarial science: Achieving Your Pinnacle: A Career Guide for Actuaries Tom Miller, 2009-05-12 Tom Miller recognized the need to write this book a few years ago, after reviewing postings on popular discussion pages frequented by actuaries. He was surprised and troubled by the magnitude of misinformation posted on these websites. Clearly actuaries and actuarial students posting this information are only trying to be helpful to one another, but they frequently lack the necessary experience and expertise to offer sound advice. Tom seeks to provide readers of his career guide with valuable insights regarding the actuarial employment market, covering topics such as choice of product specialization, how to conduct effective job searches, switching successfully from insurance to consulting and inside tips on what clients are really looking for when they interview you. Armed with deep knowledge and a unique perspective on the actuarial profession, Tom expects that this book will be a resource that will help you make better career decisions and Achieve Your Pinnacle. |
| bachelor's in actuarial science: Financial Mathematics For Actuaries (Third Edition) Wai-sum Chan, Yiu-kuen Tse, 2021-09-14 This book provides a thorough understanding of the fundamental concepts of financial mathematics essential for the evaluation of any financial product and instrument. Mastering concepts of present and future values of streams of cash flows under different interest rate environments is core for actuaries and financial economists. This book covers the body of knowledge required by the Society of Actuaries (SOA) for its Financial Mathematics (FM) Exam.The third edition includes major changes such as an addition of an 'R Laboratory' section in each chapter, except for Chapter 9. These sections provide R codes to do various computations, which will facilitate students to apply conceptual knowledge. Additionally, key definitions have been revised and the theme structure has been altered. Students studying undergraduate courses on financial mathematics for actuaries will find this book useful. This book offers numerous examples and exercises, some of which are adapted from previous SOA FM Exams. It is also useful for students preparing for the actuarial professional exams through self-study. |
| bachelor's in actuarial science: Braid Foliations in Low-Dimensional Topology Douglas J. LaFountain, William W. Menasco, 2017-10-20 Offers a self-contained introduction to braid foliation techniques, which is a theory developed to study knots, links and surfaces in general 3-manifolds and more specifically in contact 3-manifolds. With style and content accessible to beginning students interested in geometric topology, each chapter centres around a key theorem or theorems. |
| bachelor's in actuarial science: Financial Mathematics For Actuarial Science Richard James Wilders, 2020-01-24 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 |
| bachelor's in actuarial science: Fundamentals of Actuarial Mathematics S. David Promislow, 2011-01-06 This book provides a comprehensive introduction to actuarial mathematics, covering both deterministic and stochastic models of life contingencies, as well as more advanced topics such as risk theory, credibility theory and multi-state models. This new edition includes additional material on credibility theory, continuous time multi-state models, more complex types of contingent insurances, flexible contracts such as universal life, the risk measures VaR and TVaR. Key Features: Covers much of the syllabus material on the modeling examinations of the Society of Actuaries, Canadian Institute of Actuaries and the Casualty Actuarial Society. (SOA-CIA exams MLC and C, CSA exams 3L and 4.) Extensively revised and updated with new material. Orders the topics specifically to facilitate learning. Provides a streamlined approach to actuarial notation. Employs modern computational methods. Contains a variety of exercises, both computational and theoretical, together with answers, enabling use for self-study. An ideal text for students planning for a professional career as actuaries, providing a solid preparation for the modeling examinations of the major North American actuarial associations. Furthermore, this book is highly suitable reference for those wanting a sound introduction to the subject, and for those working in insurance, annuities and pensions. |
| bachelor's in actuarial science: Solutions Manual for Actuarial Mathematics for Life Contingent Risks David C. M. Dickson, Mary R. Hardy, Howard R. Waters, 2012-03-26 This manual presents solutions to all exercises from Actuarial Mathematics for Life Contingent Risks (AMLCR) by David C.M. Dickson, Mary R. Hardy, Howard Waters; Cambridge University Press, 2009. ISBN 9780521118255--Pref. |
| bachelor's in actuarial science: A Course in Mathematical Statistics George G. Roussas, 1997-03-12 A Course in Mathematical Statistics, Second Edition, contains enough material for a year-long course in probability and statistics for advanced undergraduate or first-year graduate students, or it can be used independently for a one-semester (or even one-quarter) course in probability alone. It bridges the gap between high and intermediate level texts so students without a sophisticated mathematical background can assimilate a fairly broad spectrum of the theorems and results from mathematical statistics. The coverage is extensive, and consists of probability and distribution theory, and statistical inference.* Contains 25% new material* Includes the most complete coverage of sufficiency * Transformation of Random Vectors* Sufficiency / Completeness / Exponential Families* Order Statistics* Elements of Nonparametric Density Estimation* Analysis of Variance (ANOVA)* Regression Analysis* Linear Models |
| bachelor's in actuarial science: Economy, Society and Public Policy The Core Team, 2019 Economy, Society, and Public Policy is a new way to learn economics. It is designed specifically for students studying social sciences, public policy, business studies, engineering and other disciplines who want to understand how the economy works and how it can be made to work better. Topical policy problems are used to motivate learning of key concepts and methods of economics. It engages, challenges and empowers students, and will provide them with the tools to articulate reasoned views on pressing policy problems. This project is the result of a worldwide collaboration between researchers, educators, and students who are committed to bringing the socially relevant insights of economics to a broader audience.KEY FEATURESESPP does not teach microeconomics as a body of knowledge separate from macroeconomicsStudents begin their study of economics by understanding that the economy is situated within society and the biosphereStudents study problems of identifying causation, not just correlation, through the use of natural experiments, lab experiments, and other quantitative methodsSocial interactions, modelled using simple game theory, and incomplete information, modelled using a series of principal-agent problems, are introduced from the beginning. As a result, phenomena studied by the other social sciences such as social norms and the exercise of power play a roleThe insights of diverse schools of thought, from Marx and the classical economists to Hayek and Schumpeter, play an integral part in the bookThe way economists think about public policy is central to ESPP. This is introduced in Units 2 and 3, rather than later in the course. |
| bachelor's in actuarial science: Probability for Risk Management Matthew J. Hassett, Donald Stewart, 2006 |
| bachelor's in actuarial science: The Mathematics of Insurance Roland E. Larson, Ron Larson, 1997 |
| bachelor's in actuarial science: Market-Consistent Actuarial Valuation Mario V. Wüthrich, Hans Bühlmann, Hansjörg Furrer, 2010-09-02 It is a challenging task to read the balance sheet of an insurance company. This derives from the fact that different positions are often measured by different yardsticks. Assets, for example, are mostly valued at market prices whereas liabilities are often measured by established actuarial methods. However, there is a general agreement that the balance sheet of an insurance company should be measured in a consistent way. Market-Consistent Actuarial Valuation presents powerful methods to measure liabilities and assets in a consistent way. The mathematical framework that leads to market-consistent values for insurance liabilities is explained in detail by the authors. Topics covered are stochastic discounting with deflators, valuation portfolio in life and non-life insurance, probability distortions, asset and liability management, financial risks, insurance technical risks, and solvency. |
| bachelor's in actuarial science: Actuarial Statistics Shailaja R. Deshmukh, 2009 |
| bachelor's in actuarial science: Life, Death and Money Derek Renn, 1998-10-15 Actuaries are experts in assessing risk, so it is not surprising that over the past few years they have become involved in many new areas of financial planning, including the appraisal of major capital projects. In this collection of essays published to celebrate the Institute of Actuaries' 150th Anniversary, leading experts describe how actuarial concepts have contributed to many important social and financial developments, and how these ideas will continue to make financial sense of the future. Even non-mathematicians will find this book useful in understanding how the scientific bases of the insurance and pensions industries grew up, and how they work today. The authors each write from the perspective of their own special expertise. They include five former presidents of the Institute of Faculty of Actuaries. |
| bachelor's in actuarial science: LISP-STAT Luke Tierney, 2009-09-25 Written for the professional statistician or graduate statistics student, the primary objective of this book is to describe a system, based on the LISP language, for statistical computing and dynamic graphics to show how it can be used as an effective platform for a wide range of statistical computing tasks ranging from basic calculations to customizing dynamic graphs. In addition, it introduces object-oriented programming and graphics programming in a statistical context. The discussion of these ideas is based on the Lisp-Stat system; readers with access to such a system can reproduce the examples presented and use them as a basis for further experimentation and study. |
| bachelor's in actuarial science: Reliability Modelling and Analysis in Discrete Time Unnikrishnan Nair, P.G. Sankaran, N. Balakrishnan, 2018-05-15 Reliability Modelling and Analysis in Discrete Time provides an overview of the probabilistic and statistical aspects connected with discrete reliability systems. This engaging book discusses their distributional properties and dependence structures before exploring various orderings associated between different reliability structures. Though clear explanations, multiple examples, and exhaustive coverage of the basic and advanced topics of research in this area, the work gives the reader a thorough understanding of the theory and concepts associated with discrete models and reliability structures. A comprehensive bibliography assists readers who are interested in further research and understanding. Requiring only an introductory understanding of statistics, this book offers valuable insight and coverage for students and researchers in Probability and Statistics, Electrical Engineering, and Reliability/Quality Engineering. The book also includes a comprehensive bibliography to assist readers seeking to delve deeper. - Includes a valuable introduction to Reliability Theory before covering advanced topics of research and real world applications - Features an emphasis on the mathematical theory of reliability modeling - Provides many illustrative examples to foster reader understanding |
| bachelor's in actuarial science: Circular United States. Office of Education, 1965 |
| bachelor's in actuarial science: Life Contingencies Alistair Neill, 1977 |
| bachelor's in actuarial science: Understanding Actuarial Management Clare Bellis, 2010 |
| bachelor's in actuarial science: Introduction to Actuarial Science (Classic Reprint) Harry Anson Finney, 2016-06-22 Excerpt from Introduction to Actuarial Science In the more comprehensive meaning Of the term, actuarial science includes an expert knowl edge Of the principles of compound interest as well as the laws Of insurance probabilities. Pub lic accountants, however, are usually interested only in the interest phases of actuarial science, leaving the application Of the laws of insurance probabilities to the actuary, who ascertains the measurement Of risks and establishes tables of rates. This discussion of actuarial science will, therefore, be -restricted to the phases thereof which deal with compound interest. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works. |
| bachelor's in actuarial science: Catalogue of the University of Michigan University of Michigan, 1955 Announcements for the following year included in some vols. |
| bachelor's in actuarial science: Actuarial Mathematics Newton L. Bowers, 1986 |
| bachelor's in actuarial science: General Register University of Michigan, 1922 Announcements for the following year included in some vols. |
| bachelor's in actuarial science: Predictive Modeling Applications in Actuarial Science Edward W. Frees, Richard A. Derrig, Glenn Meyers, 2016-07-27 This second volume examines practical real-life applications of predictive modeling to forecast future events with an emphasis on insurance. |
| bachelor's in actuarial science: Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance Edward W. Frees, Glenn Meyers, Richard A. Derrig, 2016-07-27 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. |
| bachelor's in actuarial science: Daily Graphic Ransford Tetteh, 2014-04-30 |
| bachelor's in actuarial science: The Essence of Mathematics Through Elementary Problems Alexandre Borovik, Tony Gardiner, 2019-06-11 |
| bachelor's in actuarial science: Occupational Projections and Training Data , 1980 |
| bachelor's in actuarial science: Bulletin of the United States Bureau of Labor Statistics United States. Bureau of Labor Statistics, 1980 |
| bachelor's in actuarial science: Jobs for which You Probably Will Need a College Education United States. Bureau of Labor Statistics, 1979 |
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