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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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Latest advancement in technologies has impacted the modern day teenagers both positively and negatively. One of the major impacts is the addiction to internet. The purpose of this research is to investigate and identify the various cyber security threats which may affect the teenagers and propose the countermeasures to support them and their parents on how to avoid or deal with the cyber security threats.Qualitative and quantitative methods have been used to analyze the internet usage patterns of the Emirati teenagers, the awareness that the Emirati teenagers have on the various cyber security threats and ways to deal with them.Recommendations were made based on the findings.