EconPapers    
Economics at your fingertips  
 

Big data and portfolio optimization: A novel approach integrating DEA with multiple data sources

Zhongbao Zhou, Meng Gao, Helu Xiao, Rui Wang and Wenbin Liu

Omega, 2021, vol. 104, issue C

Abstract: The existing literature suggests that the out-of-sample performance of traditional mean-variance portfolio strategies is not robust, and their performance is even inferior to that of the equal weight strategy. To address this problem, this paper first clarifies that a complete investment process consists of two parts, namely, stock selection and investment weight formulation. Then, we design a stock selection scheme integrating Data Envelopment Analysis (DEA) with multiple data sources, including historical stock trading data, technical indicators, social media data and news data, to assess the investment value of stocks in terms of historical return, asset correlation and investor sentiment performance. In addition, we use Support Vector Machine (SVM) combined with the multi-source data on stocks to predict the stock price movements and combine the obtained stock price movements and the proposed stock selection scheme to construct the portfolio optimization model. Further, we also carry out an out-of-sample test on the proposed stock selection scheme and investment strategies, in which the constituents of CSI 300 index are selected as the test samples. The empirical results show that the proposed stock selection scheme can effectively improve the out-of-sample performance of all investment strategies. Besides, the proposed investment strategy has a better out-of-sample performance compared to the traditional global minimum variance investment strategy, tangency portfolio investment strategy, and equal weight strategy. Finally, we perform a robustness test of the above findings using an additional dataset.

Keywords: Data envelopment analysis; Portfolio selection; Multiple data sources; Support vector machine; Out-of-sample test (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0305048321000888
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jomega:v:104:y:2021:i:c:s0305048321000888

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.omega.2021.102479

Access Statistics for this article

Omega is currently edited by B. Lev

More articles in Omega from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2022-09-10
Handle: RePEc:eee:jomega:v:104:y:2021:i:c:s0305048321000888