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Fuzzy Portfolio Selection Using a Weighted Function of Possibilistic Mean and Variance in Business Cycles
by
Chen, I-Fei
, Tsaur, Ruey-Chyn
in
Algorithms
/ Artificial Intelligence
/ Business cycles
/ Computational Intelligence
/ Economic conditions
/ Engineering
/ Fuzzy sets
/ Investment strategy
/ Investments
/ Investors
/ Linear programming
/ Management Science
/ Operations Research
/ Portfolio management
/ Recessions
/ Securities prices
/ Skewness
2016
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Fuzzy Portfolio Selection Using a Weighted Function of Possibilistic Mean and Variance in Business Cycles
by
Chen, I-Fei
, Tsaur, Ruey-Chyn
in
Algorithms
/ Artificial Intelligence
/ Business cycles
/ Computational Intelligence
/ Economic conditions
/ Engineering
/ Fuzzy sets
/ Investment strategy
/ Investments
/ Investors
/ Linear programming
/ Management Science
/ Operations Research
/ Portfolio management
/ Recessions
/ Securities prices
/ Skewness
2016
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Fuzzy Portfolio Selection Using a Weighted Function of Possibilistic Mean and Variance in Business Cycles
by
Chen, I-Fei
, Tsaur, Ruey-Chyn
in
Algorithms
/ Artificial Intelligence
/ Business cycles
/ Computational Intelligence
/ Economic conditions
/ Engineering
/ Fuzzy sets
/ Investment strategy
/ Investments
/ Investors
/ Linear programming
/ Management Science
/ Operations Research
/ Portfolio management
/ Recessions
/ Securities prices
/ Skewness
2016
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Fuzzy Portfolio Selection Using a Weighted Function of Possibilistic Mean and Variance in Business Cycles
Journal Article
Fuzzy Portfolio Selection Using a Weighted Function of Possibilistic Mean and Variance in Business Cycles
2016
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Overview
Investment portfolios are typically selected to reduce investment risk. In an economic recession or depression, investment strategies tend to be short term, subtle, and uncertain. When the economy is recovering or booming, investors should approach portfolio selection differently in response to the varying investment return and risk. Therefore, this study posits that different portfolios should be selected in different stages of the business cycle. An improved function for weighting possibilistic mean and variance is proposed, and a weighted fuzzy portfolio model for various investment conditions is then derived. Finally, a numerical example is presented to illustrate that the proposed models can obtain the optimal proportion of an investment throughout the business cycle to meet investors’ expectations.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
Subject
/ Skewness
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