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Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization: The Ideal Risk, Uncertainty, and Performance Measures (Frank J. Fabozzi Series)
by Svetlozar T. Rachev, Stoyan V. Stoyanov, Frank J. Fabozzi CFA
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Product Description
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.
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Related Products
Bayesian Methods in Finance (Frank J. Fabozzi Series)
Robust Portfolio Optimization and Management (Frank J Fabozzi Series)
Quantitative Equity Portfolio Management: Modern Techniques and Applications (Chapman & Hall/CRC Financial Mathematics Series)
Quantitative Equity Portfolio Management: An Active Approach to Portfolio Construction and Management (McGraw-Hill Library of Investment and Finance)
Optimization Methods in Finance (Mathematics, Finance and Risk)
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