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Title: Analyzing the Connection between Macroeconomic Variables and Market Performance: A Panel Study from an Emerging Economy
Authors: Surayya Jamal, Ahmad Zeb, Sadaf Ijaz, Muhammad Ibraheem Jan
Journal: International Journal of Politics & Social Sciences Review (IJPSSR)
| Category | From | To |
|---|---|---|
| Y | 2024-10-01 | 2025-12-31 |
Publisher: Gandhara Education and Research Consultants (GERC)
Country: Pakistan
Year: 2024
Volume: 3
Issue: 3
Language: English
Keywords: MacroeconomicMarket PerformanceWDIGMMPakistan
This study explores at how Pakistan's market performance is affected by macroeconomic factors from 2014 to 2023. The World Bank's Development Indicators (WDI) dataset and annual reports are the sources of the data. In this research study, the panel data was analyzed using GMM. This research advances the field by using features of macroeconomic variables instead of firm-level elements. The empirical finding demonstrates that macroeconomic factors support non-financial companies' market performance in Pakistan. Companies operative in Pakistan should be concerned of the possible influence of these factors on market performance and search for new methods to deal with them. The macroeconomic variables effectively enhance market performance. Policymakers and investors need to take these facts into consideration while choices are being made on economic policy and investments.
To analyze how macroeconomic variables affect the market performance of non-financial companies in Pakistan from 2014 to 2023.
Quantitative research using panel data from 2014-2023. Data sources include the World Bank's Development Indicators (WDI) dataset and annual reports. The study employed a two-step Generalized Method of Moments (GMM) dynamic panel data estimator. Market performance was measured by Tobin's Q. Independent variables included GDP, inflation rate, exchange rate, interest rate, and government expenditure.
graph TD
A["Data Collection WDI, Annual Reports"] --> B["Data Preparation & Variable Definition"];
B --> C["Panel Data Analysis"];
C --> D["GMM Estimation"];
D --> E["Analysis of Results"];
E --> F["Interpretation & Discussion"];
F --> G["Conclusion & Recommendations"];
The study's findings suggest that macroeconomic factors play a crucial role in influencing the market performance of non-financial firms in Pakistan. The positive impact of GDP, exchange rate, interest rate, and government expenditure, alongside the negative impact of inflation, highlights the interconnectedness of these variables with market outcomes. The research emphasizes the need for policymakers and investors to consider these macroeconomic influences when making economic policy and investment decisions. The study also notes that while prior research has focused on firm-level factors, this study's focus on macroeconomic variables provides a different perspective.
- GDP has a positive and significant impact on market performance (Tobin's Q).
- Inflation has a negative and significant impact on market performance.
- Exchange rate has a positive and significant impact on market performance.
- Interest rate has a positive and significant impact on market performance.
- Government expenditure has a positive and significant impact on market performance.
- The GMM estimation indicated no second-order serial correlation and valid instruments.
Macroeconomic variables significantly contribute to the market performance of non-financial enterprises in Pakistan. The findings have implications for domestic and foreign investors, management, and policymakers. Developing countries should prioritize enhancing their economic development and implementing appropriate macroeconomic policies to improve market performance. Future research could explore additional macroeconomic factors, corporate governance, and mediating/intervening variables.
- The study period is from 2014 to 2023. (Confirmed in the text)
- The data sources are the World Bank's Development Indicators (WDI) dataset and annual reports. (Confirmed in the text)
- The econometric model used is the Generalized Method of Moments (GMM). (Confirmed in the text)
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