[PDF] Foundations Of Casualty Actuarial Science eBook

Author : Casualty Actuarial Society
Publisher :
Page : 374 pages
File Size : 30,47 MB
Release : 1921
Category : Casualty insurance
ISBN :

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List of members for the years 1914-20 are included in v. 1-7, after which they are continued in the Year book of the society, begun in 1922.

Author : Casualty Actuarial Society
Publisher :
Page : 370 pages
File Size : 46,72 MB
Release : 1914
Category : Casualty insurance
ISBN :

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List of members for the years 1914-20 are included in v. 1-7, after which they are continued in the Year book of the society, begun in 1922.

Author : Casualty Actuarial and Statistical Society of America
Publisher :
Page : 362 pages
File Size : 27,23 MB
Release : 1915
Category : Casualty insurance
ISBN :

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List of members for the years 1914-20 are included in v. 1-7, after which they are continued in the year book of the Society, begun in 1922.

Author : Edward W. Frees
Publisher : Cambridge University Press
Page : 565 pages
File Size : 33,58 MB
Release : 2014-07-28
Category : Business & Economics
ISBN : 1107029872

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This book is for actuaries and financial analysts developing their expertise in statistics and who wish to become familiar with concrete examples of predictive modeling.

Author : Greg Taylor
Publisher :
Page : 100 pages
File Size : 22,17 MB
Release : 2016-05-04
Category :
ISBN : 9780996889704

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In this monograph, authors Greg Taylor and Gráinne McGuire discuss generalized linear models (GLM) for loss reserving, beginning with strong emphasis on the chain ladder. The chain ladder is formulated in a GLM context, as is the statistical distribution of the loss reserve. This structure is then used to test the need for departure from the chain ladder model and to consider natural extensions of the chain ladder model that lend themselves to the GLM framework.

Author : S. David Promislow
Publisher : John Wiley & Sons
Page : 390 pages
File Size : 19,77 MB
Release : 2011-01-06
Category : Mathematics
ISBN : 0470978074

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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.

Author : Edward W. Frees
Publisher : Cambridge University Press
Page : 337 pages
File Size : 22,56 MB
Release : 2016-07-27
Category : Business & Economics
ISBN : 1316720527

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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.