Author: David C. M. Dickson
Publisher: Cambridge University Press
ISBN: 1107608449
Category : Business & Economics
Languages : en
Pages : 180
Book Description
"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.
Solutions Manual for Actuarial Mathematics for Life Contingent Risks
Author: David C. M. Dickson
Publisher: Cambridge University Press
ISBN: 1107608449
Category : Business & Economics
Languages : en
Pages : 180
Book Description
"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.
Publisher: Cambridge University Press
ISBN: 1107608449
Category : Business & Economics
Languages : en
Pages : 180
Book Description
"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.
Introduction to Insurance Mathematics
Author: Annamaria Olivieri
Publisher: Springer
ISBN: 3319213776
Category : Mathematics
Languages : en
Pages : 521
Book Description
This second edition expands the first chapters, which focus on the approach to risk management issues discussed in the first edition, to offer readers a better understanding of the risk management process and the relevant quantitative phases. In the following chapters the book examines life insurance, non-life insurance and pension plans, presenting the technical and financial aspects of risk transfers and insurance without the use of complex mathematical tools. The book is written in a comprehensible style making it easily accessible to advanced undergraduate and graduate students in Economics, Business and Finance, as well as undergraduate students in Mathematics who intend starting on an actuarial qualification path. With the systematic inclusion of practical topics, professionals will find this text useful when working in insurance and pension related areas, where investments, risk analysis and financial reporting play a major role.
Publisher: Springer
ISBN: 3319213776
Category : Mathematics
Languages : en
Pages : 521
Book Description
This second edition expands the first chapters, which focus on the approach to risk management issues discussed in the first edition, to offer readers a better understanding of the risk management process and the relevant quantitative phases. In the following chapters the book examines life insurance, non-life insurance and pension plans, presenting the technical and financial aspects of risk transfers and insurance without the use of complex mathematical tools. The book is written in a comprehensible style making it easily accessible to advanced undergraduate and graduate students in Economics, Business and Finance, as well as undergraduate students in Mathematics who intend starting on an actuarial qualification path. With the systematic inclusion of practical topics, professionals will find this text useful when working in insurance and pension related areas, where investments, risk analysis and financial reporting play a major role.
Life Insurance Fact Book
Author:
Publisher:
ISBN:
Category : Life insurance
Languages : en
Pages : 398
Book Description
Publisher:
ISBN:
Category : Life insurance
Languages : en
Pages : 398
Book Description
Tools & Techniques of Life Insurance Planning
Author: Stephan R. Leimberg
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 600
Book Description
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 600
Book Description
An Introduction to Computational Risk Management of Equity-Linked Insurance
Author: Runhuan Feng
Publisher: CRC Press
ISBN: 1351647725
Category : Business & Economics
Languages : en
Pages : 334
Book Description
The quantitative modeling of complex systems of interacting risks is a fairly recent development in the financial and insurance industries. Over the past decades, there has been tremendous innovation and development in the actuarial field. In addition to undertaking mortality and longevity risks in traditional life and annuity products, insurers face unprecedented financial risks since the introduction of equity-linking insurance in 1960s. As the industry moves into the new territory of managing many intertwined financial and insurance risks, non-traditional problems and challenges arise, presenting great opportunities for technology development. Today's computational power and technology make it possible for the life insurance industry to develop highly sophisticated models, which were impossible just a decade ago. Nonetheless, as more industrial practices and regulations move towards dependence on stochastic models, the demand for computational power continues to grow. While the industry continues to rely heavily on hardware innovations, trying to make brute force methods faster and more palatable, we are approaching a crossroads about how to proceed. An Introduction to Computational Risk Management of Equity-Linked Insurance provides a resource for students and entry-level professionals to understand the fundamentals of industrial modeling practice, but also to give a glimpse of software methodologies for modeling and computational efficiency. Features Provides a comprehensive and self-contained introduction to quantitative risk management of equity-linked insurance with exercises and programming samples Includes a collection of mathematical formulations of risk management problems presenting opportunities and challenges to applied mathematicians Summarizes state-of-arts computational techniques for risk management professionals Bridges the gap between the latest developments in finance and actuarial literature and the practice of risk management for investment-combined life insurance Gives a comprehensive review of both Monte Carlo simulation methods and non-simulation numerical methods Runhuan Feng is an Associate Professor of Mathematics and the Director of Actuarial Science at the University of Illinois at Urbana-Champaign. He is a Fellow of the Society of Actuaries and a Chartered Enterprise Risk Analyst. He is a Helen Corley Petit Professorial Scholar and the State Farm Companies Foundation Scholar in Actuarial Science. Runhuan received a Ph.D. degree in Actuarial Science from the University of Waterloo, Canada. Prior to joining Illinois, he held a tenure-track position at the University of Wisconsin-Milwaukee, where he was named a Research Fellow. Runhuan received numerous grants and research contracts from the Actuarial Foundation and the Society of Actuaries in the past. He has published a series of papers on top-tier actuarial and applied probability journals on stochastic analytic approaches in risk theory and quantitative risk management of equity-linked insurance. Over the recent years, he has dedicated his efforts to developing computational methods for managing market innovations in areas of investment combined insurance and retirement planning.
Publisher: CRC Press
ISBN: 1351647725
Category : Business & Economics
Languages : en
Pages : 334
Book Description
The quantitative modeling of complex systems of interacting risks is a fairly recent development in the financial and insurance industries. Over the past decades, there has been tremendous innovation and development in the actuarial field. In addition to undertaking mortality and longevity risks in traditional life and annuity products, insurers face unprecedented financial risks since the introduction of equity-linking insurance in 1960s. As the industry moves into the new territory of managing many intertwined financial and insurance risks, non-traditional problems and challenges arise, presenting great opportunities for technology development. Today's computational power and technology make it possible for the life insurance industry to develop highly sophisticated models, which were impossible just a decade ago. Nonetheless, as more industrial practices and regulations move towards dependence on stochastic models, the demand for computational power continues to grow. While the industry continues to rely heavily on hardware innovations, trying to make brute force methods faster and more palatable, we are approaching a crossroads about how to proceed. An Introduction to Computational Risk Management of Equity-Linked Insurance provides a resource for students and entry-level professionals to understand the fundamentals of industrial modeling practice, but also to give a glimpse of software methodologies for modeling and computational efficiency. Features Provides a comprehensive and self-contained introduction to quantitative risk management of equity-linked insurance with exercises and programming samples Includes a collection of mathematical formulations of risk management problems presenting opportunities and challenges to applied mathematicians Summarizes state-of-arts computational techniques for risk management professionals Bridges the gap between the latest developments in finance and actuarial literature and the practice of risk management for investment-combined life insurance Gives a comprehensive review of both Monte Carlo simulation methods and non-simulation numerical methods Runhuan Feng is an Associate Professor of Mathematics and the Director of Actuarial Science at the University of Illinois at Urbana-Champaign. He is a Fellow of the Society of Actuaries and a Chartered Enterprise Risk Analyst. He is a Helen Corley Petit Professorial Scholar and the State Farm Companies Foundation Scholar in Actuarial Science. Runhuan received a Ph.D. degree in Actuarial Science from the University of Waterloo, Canada. Prior to joining Illinois, he held a tenure-track position at the University of Wisconsin-Milwaukee, where he was named a Research Fellow. Runhuan received numerous grants and research contracts from the Actuarial Foundation and the Society of Actuaries in the past. He has published a series of papers on top-tier actuarial and applied probability journals on stochastic analytic approaches in risk theory and quantitative risk management of equity-linked insurance. Over the recent years, he has dedicated his efforts to developing computational methods for managing market innovations in areas of investment combined insurance and retirement planning.
Non-Life Insurance Mathematics
Author: Thomas Mikosch
Publisher: Springer Science & Business Media
ISBN: 3540882332
Category : Mathematics
Languages : en
Pages : 435
Book Description
"Offers a mathematical introduction to non-life insurance and, at the same time, to a multitude of applied stochastic processes. It gives detailed discussions of the fundamental models for claim sizes, claim arrivals, the total claim amount, and their probabilistic properties....The reader gets to know how the underlying probabilistic structures allow one to determine premiums in a portfolio or in an individual policy." --Zentralblatt für Didaktik der Mathematik
Publisher: Springer Science & Business Media
ISBN: 3540882332
Category : Mathematics
Languages : en
Pages : 435
Book Description
"Offers a mathematical introduction to non-life insurance and, at the same time, to a multitude of applied stochastic processes. It gives detailed discussions of the fundamental models for claim sizes, claim arrivals, the total claim amount, and their probabilistic properties....The reader gets to know how the underlying probabilistic structures allow one to determine premiums in a portfolio or in an individual policy." --Zentralblatt für Didaktik der Mathematik
Life Insurance Risk Management Essentials
Author: Michael Koller
Publisher: Springer Science & Business Media
ISBN: 3642207219
Category : Business & Economics
Languages : en
Pages : 345
Book Description
The aim of the book is to provide an overview of risk management in life insurance companies. The focus is twofold: (1) to provide a broad view of the different topics needed for risk management and (2) to provide the necessary tools and techniques to concretely apply them in practice. Much emphasis has been put into the presentation of the book so that it presents the theory in a simple but sound manner. The first chapters deal with valuation concepts which are defined and analysed, the emphasis is on understanding the risks in corresponding assets and liabilities such as bonds, shares and also insurance liabilities. In the following chapters risk appetite and key insurance processes and their risks are presented and analysed. This more general treatment is followed by chapters describing asset risks, insurance risks and operational risks - the application of models and reporting of the corresponding risks is central. Next, the risks of insurance companies and of special insurance products are looked at. The aim is to show the intrinsic risks in some particular products and the way they can be analysed. The book finishes with emerging risks and risk management from a regulatory point of view, the standard model of Solvency II and the Swiss Solvency Test are analysed and explained. The book has several mathematical appendices which deal with the basic mathematical tools, e.g. probability theory, stochastic processes, Markov chains and a stochastic life insurance model based on Markov chains. Moreover, the appendices look at the mathematical formulation of abstract valuation concepts such as replicating portfolios, state space deflators, arbitrage free pricing and the valuation of unit linked products with guarantees. The various concepts in the book are supported by tables and figures.
Publisher: Springer Science & Business Media
ISBN: 3642207219
Category : Business & Economics
Languages : en
Pages : 345
Book Description
The aim of the book is to provide an overview of risk management in life insurance companies. The focus is twofold: (1) to provide a broad view of the different topics needed for risk management and (2) to provide the necessary tools and techniques to concretely apply them in practice. Much emphasis has been put into the presentation of the book so that it presents the theory in a simple but sound manner. The first chapters deal with valuation concepts which are defined and analysed, the emphasis is on understanding the risks in corresponding assets and liabilities such as bonds, shares and also insurance liabilities. In the following chapters risk appetite and key insurance processes and their risks are presented and analysed. This more general treatment is followed by chapters describing asset risks, insurance risks and operational risks - the application of models and reporting of the corresponding risks is central. Next, the risks of insurance companies and of special insurance products are looked at. The aim is to show the intrinsic risks in some particular products and the way they can be analysed. The book finishes with emerging risks and risk management from a regulatory point of view, the standard model of Solvency II and the Swiss Solvency Test are analysed and explained. The book has several mathematical appendices which deal with the basic mathematical tools, e.g. probability theory, stochastic processes, Markov chains and a stochastic life insurance model based on Markov chains. Moreover, the appendices look at the mathematical formulation of abstract valuation concepts such as replicating portfolios, state space deflators, arbitrage free pricing and the valuation of unit linked products with guarantees. The various concepts in the book are supported by tables and figures.
Principles of Insurance
Author: Harriett E. Jones
Publisher: Flmi Insurance Education Program Life Management Oma
ISBN: 9780939921744
Category : Business & Economics
Languages : en
Pages : 0
Book Description
Publisher: Flmi Insurance Education Program Life Management Oma
ISBN: 9780939921744
Category : Business & Economics
Languages : en
Pages : 0
Book Description
Morals and Markets
Author: Viviana A. Rotman Zelizer
Publisher: Columbia University Press
ISBN: 0231545428
Category : Social Science
Languages : en
Pages : 322
Book Description
Life insurance—the promise of an insurer to pay a sum upon a person's death in exchange for a regular premium—is a bizarre enterprise. How can we monetize human life? Should we? What statistics do we use, what assumptions do we make, and what behavioral factors do we consider? First published in 1979, Morals and Markets Is a pathbreaking study exploring the development of life insurance in the United States. Viviana A. Rotman Zelizer combines economic history and a sociological perspective to advance a novel interpretation of the life insurance industry. The book pioneered a cultural approach to the analysis of morally controversial markets. Zelizer begins in the mid-nineteenth century with the rise of the life insurance industry, a contentious chapter in the history of American business. Life insurance was stigmatized at first, denounced in newspapers and condemned by religious leaders as an immoral and sacrilegious gamble on human life. Over time, the business became a widely praised arrangement to secure a family's future. How did life insurance overcome cultural barriers? As Zelizer shows, the evolution of the industry in the United States matched evolving attitudes toward death, money, family relations, property, and personal legacy.
Publisher: Columbia University Press
ISBN: 0231545428
Category : Social Science
Languages : en
Pages : 322
Book Description
Life insurance—the promise of an insurer to pay a sum upon a person's death in exchange for a regular premium—is a bizarre enterprise. How can we monetize human life? Should we? What statistics do we use, what assumptions do we make, and what behavioral factors do we consider? First published in 1979, Morals and Markets Is a pathbreaking study exploring the development of life insurance in the United States. Viviana A. Rotman Zelizer combines economic history and a sociological perspective to advance a novel interpretation of the life insurance industry. The book pioneered a cultural approach to the analysis of morally controversial markets. Zelizer begins in the mid-nineteenth century with the rise of the life insurance industry, a contentious chapter in the history of American business. Life insurance was stigmatized at first, denounced in newspapers and condemned by religious leaders as an immoral and sacrilegious gamble on human life. Over time, the business became a widely praised arrangement to secure a family's future. How did life insurance overcome cultural barriers? As Zelizer shows, the evolution of the industry in the United States matched evolving attitudes toward death, money, family relations, property, and personal legacy.
Risk Classification in Life Insurance
Author: J. David Cummins
Publisher: Springer Science & Business Media
ISBN: 9401729115
Category : Business & Economics
Languages : en
Pages : 345
Book Description
The research project leading to this book was initiated in the fall of 1979 when the American Council of Life Insurance (ACLI) contacted Dan McGill, chairman of the Wharton School Insurance Department, about conducting a study on risk classification in life insurance. The ACLI was concerned about legislative and judicial activity in this area and its potential effects on the life insurance industry. A meeting was held at the ACLI offices in Washington, D.C., between several members of the ACLI staff and Dan McGill and David Cummins representing the Wharton School insurance department. An agreement was reached that a study would be conducted at Wharton dealing with issues in risk classification. Although the staff of the ACLI suggested directions the study might take, it was agreed that the design and execution of the study would be solely under the control of the researchers. The researchers also retained unrestricted publication rights in the results of the study. This agreement has been honored by the ACLI during the course of the project.
Publisher: Springer Science & Business Media
ISBN: 9401729115
Category : Business & Economics
Languages : en
Pages : 345
Book Description
The research project leading to this book was initiated in the fall of 1979 when the American Council of Life Insurance (ACLI) contacted Dan McGill, chairman of the Wharton School Insurance Department, about conducting a study on risk classification in life insurance. The ACLI was concerned about legislative and judicial activity in this area and its potential effects on the life insurance industry. A meeting was held at the ACLI offices in Washington, D.C., between several members of the ACLI staff and Dan McGill and David Cummins representing the Wharton School insurance department. An agreement was reached that a study would be conducted at Wharton dealing with issues in risk classification. Although the staff of the ACLI suggested directions the study might take, it was agreed that the design and execution of the study would be solely under the control of the researchers. The researchers also retained unrestricted publication rights in the results of the study. This agreement has been honored by the ACLI during the course of the project.