Macroeconomic Forces Shaping Kuwait’s Stock Market: A Time Series Analysis of an Oil-Dependent Economy

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Abstract

This paper investigates the dynamic relationship between stock prices and key macroeconomic variables in Kuwait, an economy highly dependent on oil exports. The analysis considers six major macroeconomic indicators: Gross Domestic Product (GDP), interest rates, oil prices, exchange rates, the Consumer Price Index (CPI), and foreign direct investment (FDI). The study employs cointegration analysis to explore long-term equilibrium relationships and the Granger causality test to identify short-term causal linkages between these variables and stock market performance. The results reveal a stable long-term relationship between stock prices and the selected macroeconomic variables, indicating that changes in these factors are crucial in determining the trajectory of the Kuwaiti stock market over time. Specifically, bidirectional causality is observed between stock prices, GDP, and interest rates, suggesting that stock market fluctuations not only respond to economic growth and monetary policy shifts but also, in turn, influence these variables, reflecting a complex feedback mechanism. Unidirectional causality is found from oil prices, CPI, and FDI to stock prices, underscoring the predominant role of oil prices in shaping Kuwait’s financial markets and highlighting the impact of inflationary pressures and foreign investment on stock market trends. These findings contribute to a deeper understanding of the intricate interplay between macroeconomic forces and stock prices in an oil-reliant economy like Kuwait. The study provides valuable insights for investors seeking to optimize portfolio strategies by incorporating macroeconomic trends, as well as for policymakers aiming to develop effective strategies that stabilize the financial markets.

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APA

Alaskar, I., & AlAli, M. S. (2024). Macroeconomic Forces Shaping Kuwait’s Stock Market: A Time Series Analysis of an Oil-Dependent Economy. Pakistan Journal of Life and Social Sciences, 22(2), 9145–9156. https://doi.org/10.57239/PJLSS-2024-22.2.00692

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