Dynamics of Exchange Rate, Equity, and Global Uncertainty in Indonesia
DOI:
https://doi.org/10.21512/becossjournal.v8i1.14698Keywords:
Exchange Rate, Equity Market, Financial Integration, Emerging MarketAbstract
This study examines the dynamic relationships among Indonesia’s stock market (IHSG), the exchange rate, and global economic policy uncertainty (GEPU) using monthly data from January 2000 to July 2025. The objective is to determine whether these variables share a stable long-run equilibrium or interact mainly through short-run dynamics across different economic regimes. The analysis covers four phases: the pre-global financial crisis period, the global financial crisis and Eurozone turmoil, post-crisis normalization, and the COVID-19 pandemic and global tightening period. The Johansen trace test provides only marginal evidence of cointegration, while the small first eigenvalue and structural-break results indicate that the detected long-run relationship is economically fragile and unstable. For this reason, the analysis proceeds with a VAR model in first differences. The results show a robust bidirectional short-run relationship between IHSG and the exchange rate in the full sample. GEPU does not independently Granger-cause IHSG in the full-sample model, but its influence becomes significant during the global financial crisis period, indicating that global uncertainty affects domestic equity dynamics mainly under stress conditions. The findings suggest that Indonesia’s financial market has become increasingly synchronized with global sentiment without implying that domestic equity movements structurally determine global uncertainty. These results highlight the importance of regime-aware risk management, exchange-rate monitoring, and adaptive macro-financial policy in an increasingly interconnected financial environment.
References
Ahmadian-Yazdi, F., Sokhanvar, A., Roudari, S., & Tiwari, A. K. (2025). Dynamics of the relationship between stock markets and exchange rates during quantitative easing and tightening. Financial Innovation, 11(51). https://doi.org/10.1186/s40854-024-00694-4
Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In B. N. Petrov & F. Csáki (Eds.), Second International Symposium on Information Theory (pp. 267–281). Akadémiai Kiadó. https://doi.org/10.1007/978-1-4612-1694-0_15
Al-Mujaddid, T. F., & Suwito, S. (2024). Adapting to the global economic downturn in Indonesia: Harnessing fiscal and monetary instruments. International Journal of Humanities Education and Social Sciences, 3(6). https://doi.org/10.55227/ijhess.v3i6.920
Andaiyani, S., & Falianty, T. A. (2018). Spillover effect of global financial cycle to asset markets in ASEAN-5 countries: A structural VAR approach. AFEBI Economic and Finance Review, 2(2). https://doi.org/10.47312/aefr.v2i02.97
Andrews, D. W. K. (1993). Tests for parameter instability and structural change with unknown change point. Econometrica, 61(4), 821–856. https://doi.org/10.2307/2951764
Apaitan, T., Luangaram, P., & Manopimoke, P. (2021). Uncertainty in an emerging market economy: Evidence from Thailand. Empirical Economics, 62, 933–989. https://doi.org/10.1007/s00181-021-02054-y
Astaíza-Gómez, J. G. (2025). Uncertainty, risk, and opaque stock markets. International Journal of Financial Studies, 13(1), 35. https://doi.org/10.3390/ijfs13010035
Aziza, M., Suryadi, & Syuliswati, A. (2021). The effect of fundamental and macroeconomic factors on agricultural sector company stock prices listed in the Indonesia Stock Exchange on the 2016–2018 period. Advances in Economics, Business and Management Research, 183, 138–141. Atlantis Press. https://doi.org/10.2991/aebmr.k.210717.029
Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring economic policy uncertainty. The Quarterly Journal of Economics, 131(4), 1593–1636. https://doi.org/10.1093/qje/qjw024
Bhattarai, S., Chatterjee, A., & Park, W. Y. (2019). Global spillover effects of US uncertainty (Working Paper 2017-17a). UNSW Economics. http://dx.doi.org/10.2139/ssrn.3072128
Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. https://doi.org/10.1016/0304-4076(86)90063-1
Breusch, T. S. (1978). Testing for autocorrelation in dynamic linear models. Australian Economic Papers, 17(31), 334–355. https://doi.org/10.1111/j.1467-8454.1978.tb00635.x
Cao, P. T., & Vo, D. H. (2025). Market responses to geopolitical risk and economic policy uncertainty: Evidence from Vietnam. Heliyon, 11(4), Article e42703. https://doi.org/10.1016/j.heliyon.2025.e42703
Davis, S. J. (2016). An index of global economic policy uncertainty (NBER Working Paper 22740). National Bureau of Economic Research. https://ideas.repec.org/p/nbr/nberwo/22740.html
Engle, R. F. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. https://doi.org/10.2307/1912773
Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), 383–417. https://doi.org/10.2307/2325486
Frankel, J. A. (1992). Monetary and portfolio balance models of exchange rate determination. International Economic Policies and their Theoretical Foundations, 793-832. https://doi.org/10.1016/B978-0-12-444281-8.50038-6
Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424–438. https://doi.org/10.2307/1912791
Hannan, E. J., & Quinn, B. G. (1979). The determination of the order of an autoregression. Journal of the Royal Statistical Society. Series B (Methodological), 41(2), 190–195. https://doi.org/10.1111/j.2517-6161.1979.tb01072.x
Hansen, B. E. (1992). Testing for parameter instability in linear models. Journal of Policy Modeling, 14(4), 517–533. https://doi.org/10.1016/0161-8938(92)90019-9
Hashmi, S. M., Gilal, M. A., & Wong, W.-K. (2021). Sustainability of global economic policy and stock market returns in Indonesia. Sustainability, 13(10), 5422. https://doi.org/10.3390/su13105422
Hu, M., & Yuan, X. (2025). Dollar shocks and cross-border capital flows: Evidence from 33 emerging economies. PLoS ONE, 20(3), Article e0319570. https://doi.org/10.1371/journal.pone.0319570
Huynh, T. L. D., Nasir, M. A., & Nguyen, D. K. (2023). Spillovers and connectedness in foreign exchange markets: The role of trade policy uncertainty. The Quarterly Review of Economics and Finance, 87, 191–199. https://doi.org/10.1016/j.qref.2020.09.001
Indrawati, S. M., Diop, N., Ikhsan, M., & Kacaribu, F. N. (2020). Enhancing resilience to turbulent global financial markets: An Indonesian experience. Economics and Finance in Indonesia, 66(1), 47–63. Available at https://scholarhub.ui.ac.id/efi/vol66/iss1/4/
Indonesia Stock Exchange. (2025). Equity market statistics: Indonesia Stock Exchange (IDX) monthly reports, January 2000 – July 2025 [Data set]. Indonesia Stock Exchange. Retrieved August 15, 2025, from https://www.idx.co.id/id/data-pasar/laporan-statistik/statistik
International Monetary Fund. (2025). International Financial Statistics (IFS): Exchange rate, Indonesia (IDR per USD), monthly data, January 2000 – July 2025 [Data set]. International Monetary Fund. Retrieved August 15, 2025, from https://data.imf.org/
Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3), 255–259. https://doi.org/10.1016/0165-1765(80)90024-5
Newey, W. K., & West, K. D. (1987). A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica, 55(3), 703–708. https://doi.org/10.2307/1913610
Quaye, I., Mu, Y., Abudu, B., & Agyare, R. (2016). Review of stock markets’ reaction to new events: Evidence from Brexit. Journal of Financial Risk Management, 5(4), 281-314. http://dx.doi.org/10.4236/jfrm.2016.54025
Rath, P.K. (2023). Nexus between Indian financial markets and macro-economic shocks: A VAR approach. Asia-Pacific Financial Markets, 30, 131–164. https://doi.org/10.1007/s10690-022-09372-w
Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2), 461–464. http://www.jstor.org/stable/2958889
Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48. https://doi.org/10.2307/1912017
Yan, L. (2023). Explore the impact of international monetary policy uncertainty on global financial markets. Advances in Economics, Management and Political Sciences, 44, 213-220. https://doi.org/10.54254/2754-1169/44/20232234
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Zefanya Fernando Baroleh, Priskila Bernita Rottie

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License - Share Alike that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
USER RIGHTS
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options, currently being defined for this journal as follows: Creative Commons Attribution-Share Alike (CC BY-SA)



