Isbn: 9780470053164 - advanced stochastic models, risk assessment, and portfolio optimization: the ideal risk, uncertainty, and performance measures (frank j. fabozzi series) (10 Ergebnisse)

Hardcover. Zustand: Bon. Ancien livre de bibliothèque avec équipements. Couverture différente. Edition 2008. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Different cover. Edition 2008. Ammareal gives back up to 15% of this item's net price to charity organizations. …

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New. pp. xviii + 382 Illus.

Hardcover. Zustand: Brand New. illustrated edition. 382 pages. 9.25x6.25x1.25 inches. In Stock.

Zustand: New. This groundbreaking book extends traditional approaches of risk measurement and portfolio optimization by combining distributional models with risk or performance measures into one framework. Series: Frank J. Fabozzi Series. Num Pages: 382 pages, black & white illustrations, black & white tables, figures. BIC Classification: KCH; KFF. Category: (P) Professional & Vocational. Dimension: 180 x 237 x 27. Weight in Grams: 726. . 2008. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. …

Zustand: Gut. Zustand: Gut | Seiten: 400 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: New. Svetlozar T. Rachev, PhD, Doctor of Science, is Chair-Professor at the University of Karlsruhe in the School of Economics and Business Engineering Professor Emeritus at the University of California, Santa Barbara and Chief-Scientist of FinAnalytica Inc.St.

Buch. Zustand: Neu. Neuware - 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.…

Hardcover. Zustand: gut. Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization: The Ideal Risk, Uncertainty, and Performance Measures (Frank J. Fab In englischer Sprache. pages.