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Download or read book Life Insurance Fact Book written by and published by . This book was released on 1962 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book ACLI Life Insurance Fact Book written by and published by . This book was released on 1999 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Insurance Information Institute
Publisher: Insurance Information Inst.
Published: 1984
Total Pages: 208
ISBN-13: 9780932387011
DOWNLOAD EBOOKDownload or read book I.I.I. Insurance Fact Book written by Insurance Information Institute and published by Insurance Information Inst.. This book was released on 1984 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Life Insurance Fact Book written by and published by . This book was released on 1946 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Tony Boobier
Publisher: John Wiley & Sons
Published: 2016-10-10
Total Pages: 296
ISBN-13: 1119141079
DOWNLOAD EBOOKThe business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. Written from a non-IT perspective, this book focusses less on the architecture and technical details, instead providing practical guidance on translating analytics into target delivery. The discussion examines implementation, interpretation, and application to show you what Big Data can do for your business, with insights and examples targeted specifically to the insurance industry. From fraud analytics in claims management, to customer analytics, to risk analytics in Solvency 2, comprehensive coverage presented in accessible language makes this guide an invaluable resource for any insurance professional. The insurance industry is heavily dependent on data, and the advent of Big Data and analytics represents a major advance with tremendous potential – yet clear, practical advice on the business side of analytics is lacking. This book fills the void with concrete information on using Big Data in the context of day-to-day insurance operations and strategy. Understand what Big Data is and what it can do Delve into Big Data's specific impact on the insurance industry Learn how advanced analytics can revolutionise the industry Bring Big Data out of IT and into strategy, management, marketing, and more Big Data and analytics is changing business – but how? The majority of Big Data guides discuss data collection, database administration, advanced analytics, and the power of Big Data – but what do you actually do with it? Big Data and Analytics for Insurers answers your questions in real, everyday business terms, tailored specifically to the insurance industry's unique needs, challenges, and targets.
Download or read book Analytics for Insurance written by Tony Boobier and published by John Wiley & Sons. This book was released on 2016-10-10 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. Written from a non-IT perspective, this book focusses less on the architecture and technical details, instead providing practical guidance on translating analytics into target delivery. The discussion examines implementation, interpretation, and application to show you what Big Data can do for your business, with insights and examples targeted specifically to the insurance industry. From fraud analytics in claims management, to customer analytics, to risk analytics in Solvency 2, comprehensive coverage presented in accessible language makes this guide an invaluable resource for any insurance professional. The insurance industry is heavily dependent on data, and the advent of Big Data and analytics represents a major advance with tremendous potential – yet clear, practical advice on the business side of analytics is lacking. This book fills the void with concrete information on using Big Data in the context of day-to-day insurance operations and strategy. Understand what Big Data is and what it can do Delve into Big Data's specific impact on the insurance industry Learn how advanced analytics can revolutionise the industry Bring Big Data out of IT and into strategy, management, marketing, and more Big Data and analytics is changing business – but how? The majority of Big Data guides discuss data collection, database administration, advanced analytics, and the power of Big Data – but what do you actually do with it? Big Data and Analytics for Insurers answers your questions in real, everyday business terms, tailored specifically to the insurance industry's unique needs, challenges, and targets.
Author: Marco Gantenbein
Publisher: John Wiley & Sons
Published: 2008-03-31
Total Pages: 354
ISBN-13: 0470282185
DOWNLOAD EBOOKSwiss Annuities and Life Insurance examines the key characteristics of Swiss annuities and life insurance, and explains how the use of these products can help you achieve asset protection, growth, and, in some cases, significant tax planning opportunities. Swiss annuities and life insurance are an excellent alternative investment, particularly for high-net-worth individuals. With this expert guidebook, you too will learn how to safely capitalize on these attractive products.
Download or read book Swiss Annuities and Life Insurance written by Marco Gantenbein and published by John Wiley & Sons. This book was released on 2008-03-31 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Swiss Annuities and Life Insurance examines the key characteristics of Swiss annuities and life insurance, and explains how the use of these products can help you achieve asset protection, growth, and, in some cases, significant tax planning opportunities. Swiss annuities and life insurance are an excellent alternative investment, particularly for high-net-worth individuals. With this expert guidebook, you too will learn how to safely capitalize on these attractive products.
Author: Piet de Jong
Publisher: Cambridge University Press
Published: 2008-02-28
Total Pages: 207
ISBN-13: 1139470477
DOWNLOAD EBOOKThis is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website.
Download or read book Generalized Linear Models for Insurance Data written by Piet de Jong and published by Cambridge University Press. This book was released on 2008-02-28 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website.
Author: Jack Kinder
Publisher:
Published: 2007-05-11
Total Pages: 0
ISBN-13: 9788188452637
DOWNLOAD EBOOKThe Kinder Brother^s "how-to" guide for successful client building. This is a must for all Sales Professionals. This book on sales has been specifically written for those in the field of insurance sales. Using illustrations and examples collected over a life time spent training people in the field of insurance, Jack and Garry give you the disciplines, the techniques, the concepts and the process of achieving success in the field of insurance selling. This is a practical book to be applied in the field. You will get immediate results from the techniques explained in this fantastic book.
Download or read book Secrets of Successful Insurance Sales written by Jack Kinder and published by . This book was released on 2007-05-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Kinder Brother^s "how-to" guide for successful client building. This is a must for all Sales Professionals. This book on sales has been specifically written for those in the field of insurance sales. Using illustrations and examples collected over a life time spent training people in the field of insurance, Jack and Garry give you the disciplines, the techniques, the concepts and the process of achieving success in the field of insurance selling. This is a practical book to be applied in the field. You will get immediate results from the techniques explained in this fantastic book.
Author: Brian Breuel
Publisher: Penguin
Published: 1996
Total Pages: 378
ISBN-13: 9780028611136
DOWNLOAD EBOOKIntroduces the principles of purchasing insurance against anticipated risks, and discusses life, diasability, and health insurance, annuities, and property and casualty insurance
Download or read book The Complete Idiot's Guide to Buying Insurance and Annuities written by Brian Breuel and published by Penguin. This book was released on 1996 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces the principles of purchasing insurance against anticipated risks, and discusses life, diasability, and health insurance, annuities, and property and casualty insurance
Author: Jean-Paul Laurent
Publisher: Springer
Published: 2016-05-02
Total Pages: 263
ISBN-13: 3319297767
DOWNLOAD EBOOKFocusing 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.
Download or read book Modelling in Life Insurance – A Management Perspective written by Jean-Paul Laurent and published by Springer. This book was released on 2016-05-02 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
