Dynamics of Exchange Rate, Equity, and Global Uncertainty in Indonesia

Authors

  • Zefanya Fernando Baroleh Sam Ratulangi University
  • Priskila Bernita Rottie Sam Ratulangi University

DOI:

https://doi.org/10.21512/becossjournal.v8i1.14698

Keywords:

Exchange Rate, Equity Market, Financial Integration, Emerging Market

Abstract

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.

Dimensions

Author Biographies

Zefanya Fernando Baroleh, Sam Ratulangi University

Department of Management, Faculty of Economics and Business

Priskila Bernita Rottie, Sam Ratulangi University

Department of Management, Faculty of Economics and Business

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

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Published

2026-06-17

How to Cite

Baroleh, Z. F., & Rottie, P. B. (2026). Dynamics of Exchange Rate, Equity, and Global Uncertainty in Indonesia. Business Economic, Communication, and Social Sciences Journal (BECOSS), 8(1), 37–48. https://doi.org/10.21512/becossjournal.v8i1.14698
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