EconPapers    
Economics at your fingertips  
 

Impact of corporate performance on stock price predictions in the UAE markets: Neuro‐fuzzy model

Elfadil A. Mohamed, Ibrahim Ahmed, Riyadh Mehdi and Hanan Hussain

Intelligent Systems in Accounting, Finance and Management, 2021, vol. 28, issue 1, 52-71

Abstract: Predicting stock price remains one of the challenges for investors' investment strategies. This study helps with accurate prediction and the main factors affecting variations in stock prices. It applies an adaptive neuro‐fuzzy model on 58 listed firms from both the Abu Dhabi Securities Exchange and the Dubai Financial Market for the period 2014–2018 to estimate the predictive power of corporate performance measures and their significance. After examining four performance predictors—return on asset (ROA), return on equity (ROE), earning per share (EPS), and profit margin (PM)—the study finds that ROE is the most significant predictor and ROA is the least. EPS is the most influential profitability measure and PM the least.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/isaf.1484

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:wly:isacfm:v:28:y:2021:i:1:p:52-71

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=1099-1174
subscrip@blackwellpub.com

Access Statistics for this article

More articles in Intelligent Systems in Accounting, Finance and Management from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery (contentdelivery@wiley.com).

 
Page updated 2024-12-29
Handle: RePEc:wly:isacfm:v:28:y:2021:i:1:p:52-71