Title :
Fuzzy portfolio selection problem under uncertain exit time
Author :
Chen, Wei ; Tan, Shaohua
Author_Institution :
Dept. of Machine Intell., Peking Univ., Beijing, China
Abstract :
Uncertainty over exit time is an important practical issue faced by most investors. In this paper, we introduce the notations of the possibilistic mean, variance and covariance of fuzzy numbers to generalize Markowitz analysis. In the first time, we consider the uncertain investment period from the point of view of possibilistic analysis, and build the possibilistic models of portfolio selection under the situations involving uncertainty over the time horizon. The exit time can be either independent or dependent of asset price behavior. Moreover, an numerical example is presented to show the application of our results.
Keywords :
fuzzy set theory; investment; fuzzy numbers; fuzzy portfolio selection problem; generalize Markowitz analysis; possibilistic analysis; uncertain exit time; uncertain investment period; Analysis of variance; Decision theory; Finance; Fuzzy set theory; Fuzzy sets; Investments; Machine intelligence; Portfolios; Risk management; Uncertainty;
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2009.5277181