Title :
Portfolio selection model with transaction costs based on fuzzy information
Author_Institution :
Dept. of Math., Zhejiang Univ., Hangzhou, China
Abstract :
In securities markets, the expected rates of security returns are difficult to estimate precisely due to many uncertainties. In this paper, the author deals with the returns on securities in fuzzy terms. We use fuzzy number to deal with the uncertainty. Considering the three factors (return, risk and liquidity), we obtain a portfolio selection model based on the weighted possibilistic mean and variance of fuzzy numbers. A numerical example of a portfolio selection problem is given to illustrate our proposed approaches.
Keywords :
fuzzy set theory; marketing; possibility theory; statistical analysis; fuzzy information; fuzzy number variance; portfolio selection model; security market; security return; transaction cost; weighted possibilistic mean; Artificial neural networks; Fuzzy sets; Portfolios; Quadratic programming; Security; Uncertainty; fuzzy mathematical programming; fuzzy set; liquidity; portfolio selection; risk analysis; weighted possibilistic mean;
Conference_Titel :
Information and Financial Engineering (ICIFE), 2010 2nd IEEE International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-6927-7
DOI :
10.1109/ICIFE.2010.5609270