International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Optimization of Fuzzy Portfolio Considering Stock Returns and Downside Risk

Indah Simamora, Rahayu Sashanti

Abstract: First we must present two fuzzy portfolio selection models where the objective is to minimize the downside risk constrained so that a given expected return should be achieved. We assume that the rates of returns on securities are approximated as LR-fuzzy numbers of the same shape, and that the expected return and risk are evaluated by interval-valued means. We establish the relationship between those mean-interval definitions for a given fuzzy portfolio by using suitable ordering relations. And then we compare those with a given not fuzzy portfolio one. Finally, we can get the effect of not fuzzy portofolio under downside risk measures.

Keywords: Portfolio, Stock return, Fuzzy expected return, Downside risk

How to Cite?: Indah Simamora, Rahayu Sashanti, "Optimization of Fuzzy Portfolio Considering Stock Returns and Downside Risk", Volume 5 Issue 4, April 2016, International Journal of Science and Research (IJSR), Pages: 141-145, https://www.ijsr.net/getabstract.php?paperid=NOV162491, DOI: https://dx.doi.org/10.21275/NOV162491

Download Citation: APA | MLA | BibTeX | EndNote | RefMan

Share This Research

Help this article reach readers, researchers and professionals.

Share activity is measured for research-engagement analytics. Only verified, unique public shares can support award tie-breaking.

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.

Download Article PDF


Rate This Article!

Top

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.