Introduction and Methodology (Impact of Oil Price on GCC Stock Markets).

Introduction and Methodology (Impact of Oil Price on GCC Stock Markets).

Subject: Economics

Comment:
(Introduction must be 825 words). (Methodology must be 1100 words). I have attached guideline and example. ONLY WANT YOU TO WRITE INTRODUCTION AND METHODOLOGY. DO NOT WRITE problem statement, objectives, research questions, hypothesis, significance of the study, scope, and limitation. I finished writing them. My professor liked them. THE BELOW IS INFORMATION ABOUT MY INTRODUCTION: The introduction provides a background to your study that explains clearly the focus of the study. Define and contextualise the focus/issue/topic of the research and substantiate with references. Background of the study: Oil prices are very important in the world. When oil prices change, they have higher impact on the growth of an economy, which has an impact on the Stock markets. Oil is the major source of revenue for GCC countries. Any significant change in oil prices affects the availability of funds with the governments in these countries. Such changes influence the performance of the companies operating in GCC countries, which is expected to be reflected in the stock markets. THE BELOW IS INFORMATION ABOUT MY METHODOLOGY: Methodology: • MODELS OF THIS STUDY ARE: RS= a + bOP + e RK= a + bOP + e RQ= a + bOP + e RB= a + bOP + e RE= a + bOP + e RO= a + bOP + e RS = Return on Saudi stock Market. RK= Return of Kuwait stock Market. RQ= Return of Qatar stock Market. RB= Return of Bahrain stock Market. RE = Return of United Arab Emirates stock Market. RO = Return of Oman stock Market. a= Intercept. OP= Oil Price. e = Error term. • DATA AND MODEL TESTING: The study will use a repression model for data analysis for testing the model using ten years monthly data between the January 2006 and December 2015. Data will be obtained from Bloomberg professional database. • EXPLANATORY POWER OF THE MODEL * This study will apply adjusted R2 to test the explanatory power of the model. * R2 or the coefficient of determination is the percentage of variance in dependent variable explained by the independent variables. HYPOTHESIS TESTING: * To test the hypothesis, this study will apply t-test. To test the significance of the test statistic (t-statistic), the P value generated by the software will be compared with the significance level of 5% (a = 0.05). * Decision rule: the null hypothesis b=0 (ß=0) is rejected if p

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