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Modern Actuarial Risk Theory Using R

Modern Actuarial Risk Theory contains what every actuary needs to know about non-life insurance mathematics. It starts with the standard;

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Modern Actuarial Risk Theory

Apart from standard actuarial theory, Modern Actuarial Risk Theory contains methods that are relevant for actuarial practice, for;

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International Series on Actuarial Science

probabilistic methods for the modelling of risk, including short-term risk modelling, model-based pricing, risk-sharing, ruin theory and credibility. It;

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Elements of Copula Modeling with R

, actuaries, risk managers, engineers and environmental scientists wanting to learn about the theory and practice of copula modeling using R without;

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Actuarial Mathematics for Life Contingent Risks

The substantially updated third edition of the popular Actuarial Mathematics for Life Contingent Risks is suitable for advanced;

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Modern Actuarial Theory and Practice

field of financial economics has precipitated considerable development of thinking in the actuarial profession. Modern Actuarial Theory and;

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Computational Actuarial Science with R

A Hands-On Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the;

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Computational Actuarial Science with R

A Hands-On Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the;

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Actuarial Science

Information Processing and Actuarial Mathematics Theory and Methodology , which was supported by the Chinese government. Summarizing what they;

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Financial Risk Management for Pension Plans

This book is devoted to modern methodologies of financial risk management of pension plans, mostly defined benefit plans. The reader;

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Loss Models

of modeling through the use of tools related to risk theory, loss distributions, and survival models. The book uses these methods to construct and;

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A History of British Actuarial Thought

on the objectives and methods for funding Defined Benefit pensions; the application of risk theory in general insurance reserving; the;

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Actuarial Finance

quantifying and pricing liabilities, and using derivatives and other assets to manage actuarial and financial risks. Actuarial applications are;

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Statistical and Probabilistic Methods in Actuarial Science

foundation in both the theory and applications of actuarial science. It encourages students to use the statistical software package R to check;

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Risk Analysis in Finance and Insurance

financial mathematics. These methods can be naturally extended and applied in actuarial science, thus leading to unified methods of risk analysis;

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Risk Analysis in Finance and Insurance

financial mathematics. These methods can be naturally extended and applied in actuarial science, thus leading to unified methods of risk analysis;

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Value-Oriented Risk Management of Insurance Companies

Value- and risk-oriented management is a holistic method of managing businesses. In this book both actuarial methods and methods pertaining;

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Actuarial Theory for Dependent Risks

essential guide to managing modern financial risk. This book: describes how to model risks in incomplete markets, emphasizing insurance risks;

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Nonlife Actuarial Models

the topics that students need to prepare for Exam C are here, including modeling of losses, risk and ruin theory, credibility theory and;

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Loss Models

A modern practical guide to building and using actuarial models. Loss Models: From Data to Decisions is organized around the principle;

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Mathematical and Statistical Methods for Actuarial Sciences and Finance

actuarial and financial phenomena; fund performance evaluation; insurance portfolio risk analysis; interest rate models; longevity risk; machine;

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Risk Theory

Ammeter risk model and the Markov-modulated risk model. Other topics covered include utility theory, credibility theory, claims reserving and ruin;

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Financial Modeling, Actuarial Valuation and Solvency in Insurance

questions. Merz and Wuthrich combine ideas from financial mathematics (no-arbitrage theory, equivalent martingale measure), actuarial sciences;

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Financial Modeling, Actuarial Valuation and Solvency in Insurance

questions. Merz and Wuthrich combine ideas from financial mathematics (no-arbitrage theory, equivalent martingale measure), actuarial sciences;

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Lectures on Insurance Models

of continuous time stochastic processes. This introductory text on actuarial risk theory deals with the Cramer-Lundberg model and the renewal risk model;

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Introduction To Mathematical Portfolio T

In this concise yet comprehensive guide to the mathematics of modern portfolio theory the authors discuss mean-variance analysis, factor;

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Applied Probabilistic Calculus for Financial Engineering

, financial risk modeling and portfolio optimization using R, global and local optimal values, locating functional maxima and minima, and portfolio;

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