The Stock Market as a Central Hub of Macroeconomic Dynamics: Multivariate VAR Evidence on the Relationship between the Current Account and Indonesia’s Composite Stock Index (1990–2024)
DOI:
https://doi.org/10.38035/dijemss.v7i4.6369Keywords:
Current Account, Composite Stock Price Index, Vector Autoregression, Open EconomyAbstract
This study examines how the stock market transmits global financial shocks to Indonesia’s current account. Using a multivariate VAR model with quarterly data (1990–2024), the analysis includes domestic variables current account, inflation, and interest rates—alongside global indicators (DJIA and WTI). Empirical results show that the lagged Indonesia Composite Stock Price Index (IHSG) is statistically significant in the current account equation. Granger causality tests indicate unidirectional causality from IHSG to the current account without reverse feedback. Impulse response analysis reveals immediate but transitory adjustments following stock market shocks. Forecast Error Variance Decomposition results indicate that IHSG explains approximately 5.4% of the medium-term forecast error variance of the current account, exceeding the contribution of other domestic macroeconomic variables. These findings provide quantitative evidence that IHSG operates as a central transmission channel within Indonesia’s macro-financial system.
References
Bekaert, G., Hoerova, M., & Xu, N. R. (2024). Risk, monetary policy and asset prices in a global world. Journal of International Money and Finance, 139, 102978. https://doi.org/10.1016/j.jimonfin.2024.102978
Calderón, C., Lehnert, T., & Valenzuela, P. (2019). Current account deficits and stock market returns: A panel data analysis. Journal of International Financial Markets, Institutions and Money, 58, 112–128. https://doi.org/10.1016/j.intfin.2018.09.002
Chang, L., Sun, Y., & Zhang, H. (2023). Asymmetric effects of oil prices on current account balances: Evidence from quantile regression. Energy Economics, 114, 106119. https://doi.org/10.1016/j.eneco.2022.106119
Danila, N., Putranto, A. S., & Sari, R. (2023). Capital inflows and Indonesian stock market performance. Jurnal Keuangan dan Perbankan, 27(2), 89–104.
Enders, W. (2009). Applied econometric time series (3rd ed.). Wiley-Blackwell.
Fratzscher, M. (2009). What drives capital flows to emerging markets? Journal of International Economics, 69(1), 21–47. https://doi.org/10.1016/j.jinteco.2008.07.002
Fratzscher, M., & Straub, R. (2009). Asset prices, the current account, and the U.S. trade balance. Economic Policy, 24(60), 537–571. https://doi.org/10.1111/j.1468-0327.2009.00234.x
Gujarati, D. N. (2004). Basic econometrics (4th ed.). McGraw-Hill.
International Monetary Fund. (2025). World Economic Outlook, October 2025: Global economy—slower growth, rising risks. International Monetary Fund. https://www.imf.org/en/Publications/WEO/Issues/2025/10/14/world-economic-outlook-october-2025
Jung, H., & Kim, S. (2018). Bidirectional causality between current account and stock market: Evidence from G-20 countries. Applied Economics Letters, 25(14), 981–988. https://doi.org/10.1080/13504851.2017.1394985
Kim, S., & Yang, D. Y. (2011). Capital flows and asset prices: Evidence from Asian economies. Journal of Asian Economics, 22(4), 312–327. https://doi.org/10.1016/j.asieco.2011.05.002
Rachmatika, D., & Darmawan, I. (2023). Predictive power of current account on IHSG volatility: A VECM–GARCH approach. Indonesian Journal of Applied Economics, 12(3), 201–218. https://doi.org/10.21776/ub.ijae.2023.012.03.5
Windasari, N. A., & Kusumastuti, R. (2020). Machine learning approach for predicting IHSG using macroeconomic variables. Procedia Computer Science, 181, 2789–2798. https://doi.org/10.1016/j.procs.2021.01.006
Yan, Y., Li, X., & Zhang, W. (2016). Sustained current account deficits and stock market performance. International Journal of Finance & Economics, 21(3), 198–215. https://doi.org/10.1002/ijfe.1543
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Eka Desy Purnama

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish their manuscripts in this journal agree to the following conditions:
- The copyright on each article belongs to the author(s).
- The author acknowledges that the Dinasti International Journal of Education Management and Social Science (DIJEMSS) has the right to be the first to publish with a Creative Commons Attribution 4.0 International license (Attribution 4.0 International (CC BY 4.0).
- Authors can submit articles separately, arrange for the non-exclusive distribution of manuscripts that have been published in this journal into other versions (e.g., sent to the author's institutional repository, publication into books, etc.), by acknowledging that the manuscript has been published for the first time in the Dinasti International Journal of Education Management and Social Science (DIJEMSS).









































