Fuzzy Portfolio Optimization Theory (7 results)

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Soft cover. Condition: New. Language:Chinese.Author:FANG YONG WANG SHOU YANG.Binding:Soft cover.Publisher:Higher Education Press Pub. Date :2005-11-01.

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Most of the existing portfolio selection models are based on the probability theory. Though they often deal with the uncertainty via probabilistic - proaches, we have to mention that the probabilistic approaches only partly capture the reality. Some other techniques have also been applied to handle the uncertainty of the nancial markets, for instance, the fuzzy set theory [Zadeh (1965)]. In reality, many events with fuzziness are characterized by probabilistic approaches, although they are not random events. The fuzzy set theory has been widely used to solve many practical problems, including nancial risk management. By using fuzzy mathematical approaches, quan- tative analysis, qualitative analysis, the experts' knowledge and the investors' subjective opinions can be better integrated into a portfolio selection model. The contents of this book mainly comprise of the authors' research results for fuzzy portfolio selection problems in recent years. In addition, in the book, the authors will also introduce some other important progress in the eld of fuzzy portfolio optimization. Some fundamental issues and problems of po- folioselectionhavebeenstudiedsystematicallyandextensivelybytheauthors to apply fuzzy systems theory and optimization methods. A new framework for investment analysis is presented in this book. A series of portfolio sel- tion models are given and some of them might be more e cient for practical applications. Some application examples are given to illustrate these models by using real data from the Chinese securities markets.…

Taschenbuch. Condition: Neu. Fuzzy Portfolio Optimization | Theory and Methods | Yong Fang (u. a.) | Taschenbuch | Lecture Notes in Economics and Mathematical Systems | x | Englisch | 2008 | Springer | EAN 9783540779254 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …