This page presents an excerpt of the available research material, including the Preliminary Pages, Table of Contents, Abstract, Chapters One to Five, and References. It provides a comprehensive overview of the study, enhancing readability and accessibility for students, and researchers seeking complete material on the topic stated above.
I am profoundly grateful to everyone who contributed to the successful completion of this project. I am especially grateful to my Supervisor (Name), the Head of Department (Name), and the Lecturers in the Department of Statistics for their invaluable guidance and support. I also acknowledge the contributions of authors and scholars whose works on A Statistical Analysis of Capital Market and Economic Growth provided essential insights. Special thanks go to my study area (and any funding organizations, if applicable) for their financial assistance. I am equally thankful to stakeholders, including mentors, teachers, and colleagues, for their encouragement and support. Finally, I deeply appreciate my family and friends for their patience and unwavering support throughout this journey. Your contributions have been instrumental in making this research a reality.
This research work is aimed at establishing and testing for existing relationship between the Nigerian Gross Domestic Product (GDP) and the indicators of the Nigerian Stock Market. Market capitalization and All Share Price Index are used as proxies for stock market indicators. Annual data set from 1985 to 2014 are used in the research work. The relationship is explored both in the general sense using multiple linear regression analysis and in the period-based (period of global financial crisis and period of no global financial crisis) using dummy regression analysis. Detailed analysis of the data using the multiple linear regression analysis revealed a strong significant multiple linear relationship among the response and the predictor variables with a coefficient of multiple determination, R2 of about 0.91 which explains about 93% of the total variations in the response variable. The result from the dummy regression analysis shows even a stronger linear relationship among the predictor variables and the response variables with R2 of about 0.93 which explains about 93% of the total variation in the response variable Y. The coefficient of the dummy variable is significantly different from zero which point to the need to analyze the variables based on the two economic period. It also respresent the average decrease in the response variables Y as a result of the global financial crisis given the indicators of the Nigerian stock market.
1.1 Introduction
… As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the aim and objectives of the study. Others are significance of the study, scope of work, Research hypothesis and questions, limitation of the study and definition of terms.…
