Springer, 2019. — 258 p. — (Springer Actuarial). — ISBN: 978-3-030-25826-9. 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...
Palgrave Macmillan, 2017. — 350 p. — ISBN: 9783319331829, 9783319331836. In the first book of its kind,Turnbull traces the development and implementation of actuarial ideas, from the conception of Equitable Life in the mid-18th century to the start of the 21st century. This book analyses the historical development of British actuarial thought in each of its three main practice...
Wiley, 2017. — 368 p. — ISBN: 978-0470772683. Reinsurance: Actuarial and Statistical Aspects provides a survey of both the academic literature in the field as well as challenges appearing in reinsurance practice and puts the two in perspective. The book is written for researchers with an interest in reinsurance problems, for graduate students with a basic knowledge of...
Cambridge University Press, 2016. — 330 p. — (International Series on Actuarial Science). — ISBN: 1107029880, 9781107029880 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...
Springer, 2016. — 255 p. Focusing on life insurance and pensions, this book addresses various aspects of modeling 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...
Springer, 2016. — 112 p. — ISBN: 978-3319356679. Featuring contributions from industry and academia, this volume includes chapters covering a diverse range of theoretical and empirical aspects of actuarial science and quantitative finance, including portfolio management, derivative valuation, risk theory and the economics of insurance. Developed from the First International...
3rd Edition. — Springer, 2016. — 138 p. — ISBN: 978-3319466354. This is the third edition of this well-received textbook, presenting powerful methods for measuring insurance liabilities and assets in a consistent way, with detailed mathematical frameworks that lead to market-consistent values for liabilities. Topics covered are stochastic discounting with deflators, valuation...
Academic Press, 2015. — 624 p. — ISBN: 978-0128001561. 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...
Springer, 2014. — 162 p. — ASIN: B00PUM09RW. 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...
New York: Society of Actuaries, 2012. — 274 p. New required text for the FAP Modules, as of January 31, 2012. A critical point in an actuary's education is the transition from understanding the mathematical underpinnings of actuarial science to putting them into practice. The problems become less well-defined and the solutions less clear-cut. Understanding Actuarial Practice is...
2nd Edition. — The Society of Actuaries, 1997. — 730 p. The book, which is the basic textbook of the Society of Actuaries USA, contains the fundamentals of mathematics of insurance. Starting with the basic models of the underlying life insurance, the authors go on to the models of risk theory to more complex models of the life insurance and pension schemes. The book is intended...
CT1 - CT8 Combined Materials Packs . — Actuarial Education Company (ActEd). — Institute and Faculty of Actuaries (IFoA), Great Britain, 2012-16 The archive contains collections of theoretical material and guidelines (Combined Materials Pack, Core reading) for eight subjects of the Core Technical cycle from the Actuarial Education Company (ActEd), which trains actuaries in...
2nd ed. — Springer, 2015. — 520 p. — (EAA Series). — ISBN: 3319213768, 9783319213767 The book aims at presenting technical and financial features of life insurance, non-life insurance, pension plans. The book has been planned assuming non-actuarial readers as its natural target, namely - advanced undergraduate and graduate students in Economics, Business and Finance; -...
Springer, 2014. — 385 p. — (EAA Series). — ISBN: 9783319066523, 9783319066530 This book is a compilation of 21 papers presented at the International Cramér Symposium on Insurance Mathematics (ICSIM) held at Stockholm University in June, 2013. The book comprises selected contributions from several large research communities in modern insurance mathematics and its applications....
2nd Edition. — N.-Y.: CRC Press, 2014. — 654 p. — e-ISBN: 978-1-4822-2707-9 Actuarial Models: The Mathematics of Insurance, Second Edition thoroughly covers the basic models of insurance processes. It also presents the mathematical frameworks and methods used in actuarial modeling. This second edition provides an even smoother, more robust account of the main ideas and models,...
// European Journal of Operational Research. Volume 234, Issue 2, 16 April 2014, Pages 356–371 The concepts of portfolio optimization and diversification have been instrumental in the development and understanding of financial markets and financial decision making. In light of the 60 year anniversary of Harry Markowitz’s paper Portfolio Selection, we review some of the...
// Systems Engineering Procedia. Volume 4, 2012, Pages 25–34 The theme of this paper relates to solving portfolio selection problems using linear programming. We extend the well-known linear optimization framework for Conditional Value-at-Risk (CVaR)-based portfolio selection problems [1] and [2] to optimization over a more general class of risk measure known as the class of...
// Insurance: Mathematics and Economics. Volume 58, September 2014, Pages 132–137 GlueVaR risk measures defined by Belles-Sampera et al. (2014) generalize the traditional quantile-based approach to risk measurement, while a subfamily of these risk measures has been shown to satisfy the tail-subadditivity property. In this paper we show how GlueVaR risk measures can be...
// SSRN Electronic Journal 07/2013; DOI: 10.2139/ssrn.2284101 Model risk has a huge impact on any risk measurement procedure and its quantification is therefore a crucial step. In this paper, we introduce three quantitative measures of model risk when choosing a particular reference model within a given class: the absolute measure of model risk, the relative measure of model...
Cambridge: Cambridge University Press, 2014. — 563 p. Predictive modeling involves the use of data to forecast future events. It relies on capturing relationships between explanatory variables and the predicted variables from past occurrences and exploiting these relationships to predict future outcomes. Forecasting future financial events is a core actuarial skill – actuaries...