Data collection has been based on survey questionnaire with 15 questions exposed to 50 participants who had sufficient knowledge in this field. Data were collected on a Likert scale and statistical analyses have been performed. All the analyses have been implemented with SPSS. Correlation and Regression has been performed to find the research outcome. Based on the regression analysis, it has been found that macroeconomic factors like economic growth, market speculations, macroeconomic news, consumer instalment credits, trade deficits, variation in demand side, variation in supply side all HIGHLY influence the commodity pricing. Also, based on the correlation analysis, it can be seen that the sharp increase in commodity exports of developing countries during the 1980s debt crises affect the commodity prices. Table of Contents Chapter 1 – Research Introduction 1.1 Introduction 1.2 Background of the Study 1.3 Statement of the Problem 1.4 Research Questions, Aim and Objectives 1.4.1 Research Aim and Objectives 18.104.22.168 General Objective 22.214.171.124 Specific Objectives 1.5 Research Design 1.6 Structure of the research 1.7. Chapter Summary Chapter 2 – Literature Review 2.1. Introduction 2.2. Theoretical and Analytical Review 2.3. Macro-economic events 2.4. Supply side of commodities 2.5. Fluctuations in Commodity wealth 2.6. Demand side of commodities 2.7. Chapter summary Chapter 3 – Methodology of Research 3.1. Introduction 3.2. Survey Research Methods 3.3. Characteristics of Quantitative survey methods 3.4. Research Framework 3.5. Chapter summary Chapter 4 – Research Data Collection 4.1. Introduction 4.2. Sample Selection 4.3. Survey Questionnaire 4.4. Data Collection and interpretation 4.5. Chapter summary Chapter 5 – Research Data Analysis 5.1. Introduction 5.2. Significance of Statistical Regression and Correlation 5.3. Overview of SPSS 5.4. Data Analysis 5.5. Chapter summary Chapter 6 – Discussion of Results 6.1. Introduction 6.2. Outcome of regression analysis 6.3. Outcome of Correlation analysis 6.4. Research Outcome 6.5. Chapter summary Chapter 7 – Research Conclusion References Appendix F distribution for 95% confidence interval List of Tables Table 4.1. Sample Likert scale Table 5.1. Model Summary Table 5.2. ANOVA Table 5.3. Correlations Chapter 1 – Research Introduction 1.7 Introduction Questions related to the determination of prices for oil, other mineral, and agricultural commodities have always fallen predominantly in the province of microeconomics. According to Frankel and Rose (RBA, 2009), there are cases where commodity prices move towards the same direction making it difficult to ignore the influence of macroeconomics. Borensztein and Reinhart (1994) confirm the central role of commodity markets especially with respect to transmittal of global disturbances through the linkage they (commodity markets) provide between importers and suppliers of commodities. However, the experienced fluctuations in both prices and volumes within the
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100 pages (25000 words)Dissertation
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