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TitlePortfolio Selection Model with Interval Values Based on Probability Distribution Functions
Creator吳柏林
Wu,Berlin
Contributor應數系
Key WordsPortfolio selection ; Optimization ; Fuzzy probability distributions ; Fuzzy statistics and data analysis
Date2012.08
Date Issued11-Nov-2013 11:42:07 (UTC+8)
SummaryIn order to analyze uncertain phenomena in real world, the concept of fuzzy random variables is widely employed in model building. In dealing with fuzzy data, defuzzi cation plays a central role. In this paper, portfolio selection problems are dealt as interval values. We calculate the expected values, variance and covariance by using the estimated parameters of underlying probability distribution function. The estimated values enable us to build up a portfolio selection model with estimated parameters on the basic of Markowitz`s mean-variance model. The result exempli ed that we have different choices of k which can decide the best expected return and less risk level in our model, also that we can provide not only one choice of portfolio selection but also two or more for decision makers.
RelationInternational Journal of Innovative Computing, Information and Control, 8(8) , 5935-5944
Typearticle
dc.contributor 應數系en_US
dc.creator (作者) 吳柏林zh_TW
dc.creator (作者) Wu,Berlinen_US
dc.date (日期) 2012.08en_US
dc.date.accessioned 11-Nov-2013 11:42:07 (UTC+8)-
dc.date.available 11-Nov-2013 11:42:07 (UTC+8)-
dc.date.issued (上傳時間) 11-Nov-2013 11:42:07 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/61564-
dc.description.abstract (摘要) In order to analyze uncertain phenomena in real world, the concept of fuzzy random variables is widely employed in model building. In dealing with fuzzy data, defuzzi cation plays a central role. In this paper, portfolio selection problems are dealt as interval values. We calculate the expected values, variance and covariance by using the estimated parameters of underlying probability distribution function. The estimated values enable us to build up a portfolio selection model with estimated parameters on the basic of Markowitz`s mean-variance model. The result exempli ed that we have different choices of k which can decide the best expected return and less risk level in our model, also that we can provide not only one choice of portfolio selection but also two or more for decision makers.en_US
dc.format.extent 99861 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) International Journal of Innovative Computing, Information and Control, 8(8) , 5935-5944en_US
dc.subject (關鍵詞) Portfolio selection ; Optimization ; Fuzzy probability distributions ; Fuzzy statistics and data analysisen_US
dc.title (題名) Portfolio Selection Model with Interval Values Based on Probability Distribution Functionsen_US
dc.type (資料類型) articleen