Risk Modelling In General Insurance

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Risk Modelling In General Insurance

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Author : Roger J. Gray
language : en
Publisher: Cambridge University Press
Release Date : 2012-06-28

Risk Modelling In General Insurance written by Roger J. Gray and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-28 with Business & Economics categories.

A wide range of topics give students a firm foundation in statistical and actuarial concepts and their applications.

Computation And Modelling In Insurance And Finance

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Author : Erik Bølviken
language : en
Publisher: Cambridge University Press
Release Date : 2014-04-10

Computation And Modelling In Insurance And Finance written by Erik Bølviken and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-10 with Business & Economics categories.

This practical introduction outlines methods for analysing actuarial and financial risk at a fairly elementary mathematical level suitable for graduate students, actuaries and other analysts in the industry who could use simulation as a problem solver. Numerous exercises with R-code illustrate the text.

Risk Modelling In General Insurance

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Author : Roger J. Gray
language : en
Publisher:
Release Date : 2012

Risk Modelling In General Insurance written by Roger J. Gray and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Electronic books categories.

A wide range of topics to give students a firm foundation in statistical and actuarial concepts and their applications.

Risk And Insurance

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Author : Søren Asmussen
language : en
Publisher: Springer Nature
Release Date : 2020-04-17

Risk And Insurance written by Søren Asmussen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-17 with Mathematics categories.

This textbook provides a broad overview of the present state of insurance mathematics and some related topics in risk management, financial mathematics and probability. Both non-life and life aspects are covered. The emphasis is on probability and modeling rather than statistics and practical implementation. Aimed at the graduate level, pointing in part to current research topics, it can potentially replace other textbooks on basic non-life insurance mathematics and advanced risk management methods in non-life insurance. Based on chapters selected according to the particular topics in mind, the book may serve as a source for introductory courses to insurance mathematics for non-specialists, advanced courses for actuarial students, or courses on probabilistic aspects of risk. It will also be useful for practitioners and students/researchers in related areas such as finance and statistics who wish to get an overview of the general area of mathematical modeling and analysis in insurance.

Financial Modeling Actuarial Valuation And Solvency In Insurance

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Author : Mario V. Wüthrich
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-04

Financial Modeling Actuarial Valuation And Solvency In Insurance written by Mario V. Wüthrich and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-04 with Mathematics categories.

Risk management for financial institutions is one of the key topics the financial industry has to deal with. The present volume is a mathematically rigorous text on solvency modeling. Currently, there are many new developments in this area in the financial and insurance industry (Basel III and Solvency II), but none of these developments provides a fully consistent and comprehensive framework for the analysis of solvency questions. Merz and Wüthrich combine ideas from financial mathematics (no-arbitrage theory, equivalent martingale measure), actuarial sciences (insurance claims modeling, cash flow valuation) and economic theory (risk aversion, probability distortion) to provide a fully consistent framework. Within this framework they then study solvency questions in incomplete markets, analyze hedging risks, and study asset-and-liability management questions, as well as issues like the limited liability options, dividend to shareholder questions, the role of re-insurance, etc. This work embeds the solvency discussion (and long-term liabilities) into a scientific framework and is intended for researchers as well as practitioners in the financial and actuarial industry, especially those in charge of internal risk management systems. Readers should have a good background in probability theory and statistics, and should be familiar with popular distributions, stochastic processes, martingales, etc.

Risk Modeling For Hazards And Disasters

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Author : Gero Michel
language : en
Publisher: Elsevier
Release Date : 2017-08-29

Risk Modeling For Hazards And Disasters written by Gero Michel and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-29 with Science categories.

Risk Modeling for Hazards and Disasters covers all major aspects of catastrophe risk modeling, from hazards through to financial analysis. It explores relevant new science in risk modeling, indirect losses, assessment of impact and consequences to insurance losses, and current changes in risk modeling practice, along with case studies. It also provides further insight into the shortcomings of current models and examines model risk and ideas to diversify risk assessment. Risk Modeling for Hazards and Disasters instructs readers on how to assess, price and then hedge the losses from natural and manmade catastrophes. This book reviews current model development and science and explains recent changes in the catastrophe modeling space, including new initiatives covering uncertainty and big data in the assessment of risk for insurance pricing and portfolio management. Edited by a leading expert in both hazards and risk, this book is authored by a global panel including major modeling vendors, modeling consulting firms, and well-known catastrophe modeling scientists. Risk Modeling for Hazards and Disasters provides important insight into how models are used to price and manage risk. - Includes high profile case studies such as the Newcastle earthquake, Hurricane Andrew and Hurricane Katrina - Provides crucial information on new ideas and platforms that will help address the new demands for risk management and catastrophe risk reporting - Presents the theory and practice needed to know how models are created and what is and what is not important in the modeling process - Covers relevant new science in risk modeling, indirect losses, assessment of impact and consequences to insurance losses, and current changes in risk modeling practice, along with case studies

Generalized Linear Models For Insurance Data

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Author : Piet de Jong
language : en
Publisher: Cambridge University Press
Release Date : 2008-02-28

Generalized Linear Models For Insurance Data written by Piet de Jong and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-28 with Business & Economics categories.

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.

Credit Risk Modelling

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Author : David Jamieson Bolder
language : en
Publisher: Springer
Release Date : 2018-10-31

Credit Risk Modelling written by David Jamieson Bolder and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-31 with Business & Economics categories.

The risk of counterparty default in banking, insurance, institutional, and pension-fund portfolios is an area of ongoing and increasing importance for finance practitioners. It is, unfortunately, a topic with a high degree of technical complexity. Addressing this challenge, this book provides a comprehensive and attainable mathematical and statistical discussion of a broad range of existing default-risk models. Model description and derivation, however, is only part of the story. Through use of exhaustive practical examples and extensive code illustrations in the Python programming language, this work also explicitly shows the reader how these models are implemented. Bringing these complex approaches to life by combining the technical details with actual real-life Python code reduces the burden of model complexity and enhances accessibility to this decidedly specialized field of study. The entire work is also liberally supplemented with model-diagnostic, calibration, and parameter-estimation techniques to assist the quantitative analyst in day-to-day implementation as well as in mitigating model risk. Written by an active and experienced practitioner, it is an invaluable learning resource and reference text for financial-risk practitioners and an excellent source for advanced undergraduate and graduate students seeking to acquire knowledge of the key elements of this discipline.

Catastrophe Modeling

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Author : Patricia Grossi
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-01-27

Catastrophe Modeling written by Patricia Grossi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-27 with Business & Economics categories.

Catastrophe Modeling: A New Approach to Managing Risk is the first book that systematically analyzes how catastrophe models can be used for assessing and managing risks of extreme events. It focuses on natural disaster risk, but also discusses the management of terrorism risk. A unique feature of this book is the involvement of three leading catastrophe modeling firms, AIR Worldwide, EQECAT, and Risk Management Solutions, who examine the role of catastrophe modeling in rate setting, portfolio management and risk financing. Using data from three model cities (Oakland, CA, Long Beach, CA and Miami/Dade County, FLA), experts from the Wharton School of the University of Pennsylvania examine the role of catastrophe modeling to develop risk management strategies for reducing and spreading the losses from future disasters. Given the uncertainties associated with terrorism the book points out the opportunities for utilizing catastrophe models to set insurance rates and to examine public-private partnerships for providing financial assistance in the event of a terrorist attack. "This book fills a critical need in setting forth the role of modern risk analysis in managing catastrophe risk. There is no comparable reference work for this important subject area. The book is well written and well organized. It contains contributions from many of the most distinguished experts in the fields of risk analysis and risk management. It strikes a good balance between the technical aspects of the subject and the practical aspects of decision making." "This book is strongly recommended for individuals who must make decisions regarding the management of impacts of catastrophe risks including those in both the public and private sector." Wilfred D. Iwan Professor of Applied Mechanics, Emeritus Director, Earthquake Engineering Research Laboratory California Institute of Technology "The authors have captured the essence of catastrophe modeling: its value, its utility and its limitations. Every practitioner in the catastrophe risk field should read this book." Franklin W. Nutter, President Reinsurance Association of America

Generalized Linear Models For Insurance Rating

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Author : Mark Goldburd
language : en
Publisher:
Release Date : 2016-06-08

Generalized Linear Models For Insurance Rating written by Mark Goldburd and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-08 with categories.