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Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization: The Ideal Risk, Uncertainty, and Performance Measures

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Rachev, Svetlozar T., Fabozzi, Frank J., Stoyanov, Stoyan V.

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Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization: The Ideal Risk, Uncertainty, and Performance Measures, ISBN 9780470053164 Own This Book? Sell It
ISBN-13:

9780470053164

ISBN:

047005316x

Pub Date: 2008
Publisher: Wiley & Sons, Incorporated, John Summary: Advanced Stochastic Models, Risk Assessment, and Portfolio OptimizationThe finance industry is seeing increased interest in new risk measures and techniques for portfolio optimization when parameters of the model are uncertain.This groundbreaking book extends traditional approaches of risk measurement and portfolio optimization by combining distributional models with risk or performance measures into one framework. T [read more]
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Product Details
ISBN-13:

9780470053164


ISBN:

047005316x


Pub Date: 2008
Publisher: Wiley & Sons, Incorporated, John

Advanced Stochastic Models, Risk Assessment, and Portfolio OptimizationThe finance industry is seeing increased interest in new risk measures and techniques for portfolio optimization when parameters of the model are uncertain.This groundbreaking book extends traditional approaches of risk measurement and portfolio optimization by combining distributional models with risk or performance measures into one framework. Throughout these pages, the expert authors explain the fundamentals of probability metrics, outline new approaches to portfolio optimization, and discuss a variety of essential risk measures. Using numerous examples, they illustrate a range of applications to optimal portfolio choice and risk theory, as well as applications to the area of computational finance that may be useful to financial engineers. They also clearly show how stochastic models, risk assessment, and optimization are essential to mastering risk, uncertainty, and performance measurement.Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization provides quantitative portfolio managers (including hedge fund managers), financial engineers, consultants, and'academic researchers with answers to the key question of which risk measure is best for any given problem.

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