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

  • Ajman University

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

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.

Original languageEnglish
Pages (from-to)52-71
Number of pages20
JournalIntelligent Systems in Accounting, Finance and Management
Volume28
Issue number1
DOIs
StatePublished - 1 Jan 2021

Keywords

  • UAE financial markets
  • neuro-fuzzy model
  • performance measures predictive power
  • stock price predictions

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