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.
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Produktdetaljer
ISBN
9783540779261
Publisert
2020
Utgiver
Vendor
Springer
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter