This study examines the dynamics of the Amman Stock Exchange Weighted Price Index (ASEWPI) over a three-year period, from 2021 to 2023. Using daily data, the study uses moving average and Augmented Dickey-Fuller (ADF) analysis to examine the ASEWPI’s trends and stationarity. The analysis reveals compelling insights: both moving average and ADF analysis consistently project the forecasted line above the actual line, indicating a long-term bullish sentiment in the market. Furthermore, the ADF analysis highlights the ASEWPI series’ stationarity, indicating a tendency to revert to the mean. These revelations not only improve our understanding of the Amman Stock Exchange’s performance, but they also provide investors and policymakers with actionable insights. Drawing on these findings, recommendations emphasize the importance of diversification, disciplined risk management, and adopting a long-term investment strategy. Furthermore, the study emphasizes the value of data quality assurance and model robustness in decision-making processes. By following these recommendations, stakeholders can better navigate the complexities of financial markets, improving investment outcomes and policy formulation strategies.

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Navigating Market Efficiency: Insights from the Amman Stock Exchange Weighted Price Index

  • Osama Samih Shaban

摘要

This study examines the dynamics of the Amman Stock Exchange Weighted Price Index (ASEWPI) over a three-year period, from 2021 to 2023. Using daily data, the study uses moving average and Augmented Dickey-Fuller (ADF) analysis to examine the ASEWPI’s trends and stationarity. The analysis reveals compelling insights: both moving average and ADF analysis consistently project the forecasted line above the actual line, indicating a long-term bullish sentiment in the market. Furthermore, the ADF analysis highlights the ASEWPI series’ stationarity, indicating a tendency to revert to the mean. These revelations not only improve our understanding of the Amman Stock Exchange’s performance, but they also provide investors and policymakers with actionable insights. Drawing on these findings, recommendations emphasize the importance of diversification, disciplined risk management, and adopting a long-term investment strategy. Furthermore, the study emphasizes the value of data quality assurance and model robustness in decision-making processes. By following these recommendations, stakeholders can better navigate the complexities of financial markets, improving investment outcomes and policy formulation strategies.