Portfolio Selection Using Data Envelopment Analysis
There has been a growing interest in applying data envelopment analysis (DEA) as a non-parametric approach in portfolio optimization due to its flexibility in overcoming the limitations of the conventional mean-variance portfolio (MVP) model. Therefore, this study highlights the use of DEA as a port...
Saved in:
Main Authors: | Bhagia, Vishal, Chiu, Colleen Monica K., Castillo, Paulynne, Raymundo, Roberto, Tanchuco, Joel Q. |
---|---|
Format: | text |
Published: |
Animo Repository
2021
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/res_aki/97 https://animorepository.dlsu.edu.ph/context/res_aki/article/1098/viewcontent/Portfolio_Selection_Using_Data_Envelopment_Analysis.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Similar Items
-
A Data Envelopment Analysis Approach to Portfolio Selection: An Application to the Blue Chip Stocks in the Philippine Stock Exchange (2010-2019)
by: Bhagia, Vishal, et al.
Published: (2021) -
Exact arbitrage and portfolio analysis in large asset markets
by: Ali Khan, M., et al.
Published: (2014) -
Tail mean-variance portfolio selection with estimation risk
by: Huang, Zhenzhen, et al.
Published: (2024) -
Efficient estimation for Markowitz's portfolio optimization by using random matrix theory
by: LI HUA
Published: (2013) -
Continuous-time mean-variance efficiency: The 80% rule
by: Li, X., et al.
Published: (2014)