The dynamic interaction between macroeconomic factors and stock market performance is a central concern in financial decision-making. This study examines the short-term and long-term effects of selected macroeconomic variables, the Consumer Price Index (CPI), USD/VND exchange rate, gold price, WTI crude oil price, and Brent crude oil price, on the Vietnamese stock market, proxied by the VN Index. Using monthly data (January 2010–December 2023) for long-term analysis and daily data for short-term analysis, the study employs a comprehensive econometric framework including the Augmented Dickey–Fuller stationarity test, Johansen cointegration test, Granger causality test, Vector Autoregression (VAR) model, and the Autoregressive Distributed Lag (ARDL) model. The findings reveal that in the short run, CPI, WTI oil price, and Brent oil price exert significant impacts on the VN Index, whereas the USD/VND exchange rate and gold price do not produce immediate effects. In the long run, the ARDL model indicates a negative relationship between CPI and the VN Index, a mild lagged influence from the exchange rate, and a complex, nonlinear effect of Brent oil prices. These results offer actionable insights for investment decision-making: investors should closely monitor inflation and oil price movements to adjust portfolio strategies, while policymakers should prioritize effective inflation control and exchange rate management to enhance stock market stability. By identifying which macroeconomic variables carry predictive power for stock market fluctuations, this study contributes empirical evidence to support more informed and resilient financial decision-making in emerging market contexts.

This paper examines the effect of macroeconomics and supply chain finance (SCF) on the profitability of the manufacturing companies, specifically in Indonesia from 2017 to 2021. Furthermore, the study demonstrates the critical role of macroeconomics and SCF in profitability through the use of general moment method (GMM). The results indicate that cash conversion cycle (CCC) is detrimental to profitability (P), while macroeconomics has a positive impact on it. In addition, strong profitability is negatively and positively correlated with the leverage (LEV) and sustainable supply chain management (MRPB) control variables, respectively.

Investment decision making by Engineering Managers needs to take into account microeconomic and macroeconomic factors in a country. The role of Engineering Managers in making decisions is crucial and very important. Technical Managers need to consider macro-economic effects such as the US dollar exchange rate against the rupiah, the interest rate set by Bank Indonesia, inflation, especially during the preparation of the Budget Plan (RAB). This research is to analyze the macroeconomic effect on stock prices, to prove the hypothesis, a quantitative approach is used. Macroeconomics are assessed through the US dollar exchange rate, and financial statements data of banking companies.

This study aims to examine the effects of company-specific macroeconomic fluctuation in raw materials prices on the speed of adjustment through dynamic targeting capital structure on textile companies listed on the Indonesia Stock Exchange during 2012 and the second quarter of 2020. Using panel data regression of the fixed-effect method, we discovered that the speed of adjustment varies in each industry and period. Textile companies listed on the Indonesia Stock Exchange adjust their capital structure through a dynamic target of 53.3% per year. It takes 1 year and 10 months to close the target capital structure. The factors that determine the target capital structure include company size, tangibility, liquidity and growth opportunity, asset utilization, as well as retained earnings. On the other side, factors that contribute to the speed of adjustment include company size, growth opportunity, earnings volatility, asset utilization, retained earnings, distance to the target, and economic growth. Other factors that also affect the speed of adjustment include fluctuations in the prices of cotton and crude oil. The result of this study is expected to provide an optimal capital structure formulation to the textile industries in Indonesia to finance companies’ operational activities and growth opportunities effectively. This study also provides an overview of how textile companies make capital structure adjustment, as there are changes in company-specific factors, macroeconomic conditions, and fluctuation in raw material prices.

The main aim for the current paper is to shed some light on some macroeconomic variables that affect the portfolio investment in one of the Middle East countries (Bahrain) for the period 1989-2018. Autoregressive Distributed Lag (ARDL) test was employed. The findings revealed that there was a long run relationship between portfolio and macroeconomic factors. The variable can cause portfolio investment only for consumer price index and gross domestic product in long run. Meanwhile, it found only consumer price index has statistically significant effect with portfolio investment in short-run.