Impact of corporate performance on stock price predictions in the UAE markets: Neuro-fuzzy model |
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| Authors: | Elfadil A Mohamed Ibrahim Elsiddig Ahmed Riyadh Mehdi Hanan Hussain |
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| Institution: | 1. College of Engineering, Ajman University, Ajman, UAE;2. College of Business Administration, Ajman University, Ajman, UAE |
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| 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. |
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| Keywords: | neuro-fuzzy model performance measures predictive power stock price predictions UAE financial markets |
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