Distance Measurement

Actuarial Theory For Dependent Risks

The increasing complexity of insurance distance measurement and reinsurance products has seen a growing interest amongst actuaries in the modelling of dependent risks. For efficient risk management, actuaries need to be able to answer fundamental questions such as: Is the correlation structure dangerous? And, if yes, to what extent? Therefore tools to quantify, compare, distance measurement and model the strength of dependence between different risks are vital. Combining coverage of stochastic order distance measurement and risk measure theories with the basics of risk management distance measurement and stochastic dependence, this book provides an essential guide to managing modern financial risk. Describes how to model risks in incomplete markets, emphasising insurance risks. Explains how to measure distance measurement and compare the danger of risks, model their interactions, distance measurement and measure the strength of their association. Examines the type of dependence induced by GLM-based credibility models, the bounds on functions of dependent risks, distance measurement and probabilistic distances between actuarial models. Detailed presentation of risk measures, stochastic orderings, copula models, dependence concepts distance measurement and dependence orderings. Includes numerous exercises allowing a cementing of the concepts by all levels of readers. Solutions to tasks as well as further examples distance measurement and exercises can be found on a supporting website. An invaluable reference for both academics distance measurement and practitioners alike, Actuarial Theory for Dependent Risks will appeal to all those eager to master the up-to-date modelling tools for dependent risks. The inclusion of exercises distance measurement and practical examples makes the book suitable for advanced courses on risk management in incomplete markets. Traders looking for practical advice on insurance markets will also find much of interest. Copyright (C) Muze Inc. 2005. For personal use only. All rights reserved.
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Distance And Measure In Analysis And Partial Differential Equations

Description not available. Copyright (C) Muze Inc. 2005. For personal use only. All rights reserved.
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distancemeasurement

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