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Abstract
Indonesia Stock Exchange to the announcement of the Finance Minister’s replacement. It tests whether daily average abnormal returns (AAR) differ throughout the event window and whether AAR differs between the pre- and post-announcement periods.
Research Method: A quantitative event-study design was applied to 45 banking issuers that remained actively traded during an 11-day event window, from t−5 to t+5, producing 495 observations. Abnormal returns were calculated from daily closing stock prices and Composite Stock Price Index returns. Because most data were non-normally distributed, the Friedman Test and Wilcoxon Signed-Rank Test were employed.
Results and Discussion: Daily AAR differed significantly across the event window (χ² = 49.341; p = 0.000), with the strongest difference occurring between t−2 and t+2 (p = 0.002). AAR also differed significantly before and after the announcement (Z = −3.883; p = 0.000). The findings indicate that the replacement was interpreted as a relevant political-economic signal and generated a short-term market adjustment.
Implications: Investors should incorporate political-economic developments into investment analysis, while policymakers should communicate policy directions consistently to reduce uncertainty. Future studies should include other sectors, longer event windows, and additional market indicators.
Originality: This study provides specific evidence on Indonesian banking-stock reactions to a Finance Ministerial replacement using nonparametric event-study analysis.
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References
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References
Abuzayed. (2013). What is the World Cup really worth?: The financial effects of the 2022 event in Qatar. Strategic Direction, 30(7), 22–24. https://doi.org/10.1108/SD-07-2014-0091
Afego, P. N., & Alagidede, I. P. (2023). How do markets react to political elections during periods of insecurity and governance crises ? Evidence from an African emerging democracy. 14(1), 135–149. https://doi.org/10.1108/AJEMS-08-2021-0341
Ahmed, W. M. A. (2017). The impact of political regime changes on stock prices : the case of Egypt. https://doi.org/10.1108/IJoEM-12-2015-0258
Ashraf, B. N. (2020). Research in International Business and Finance: Stock markets ’ reaction to COVID-19 : Cases or fatalities ? Research in International Business and Finance, 54(May), 101249. https://doi.org/10.1016/j.ribaf.2020.101249
Brown, S. J., & Warner, J. B. (1985). Using daily stock returns: The case of event studies. Journal of Financial Economics, 14(1), 3–31. https://doi.org/https://doi.org/10.1016/0304-405X(85)90042-X
Corrado, C. J. (1989). A nonparametric test for abnormal security-price performance in event studies. Journal of Financial Economics, 23(2), 385–395. https://doi.org/https://doi.org/10.1016/0304-405X(89)90064-0
Corrado, C. J., & Zivney, T. L. (1992). The Specification and Power of the Sign Test in Event Study Hypothesis Tests Using Daily Stock Returns. Journal of Financial and Quantitative Analysis, 27(3), 465–478. https://doi.org/10.2307/2331331
Debata, B., & Mahakud, J. (2017). Economic policy uncertainty and stock market liquidity. https://doi.org/10.1108/JFEP-09-2017-0088
Fama, E. F. (1970). Fama, Eugene F. (1970): Efficient Capital Markets: A Review of Theory and Empirical Work, Journal of Finance 25, 383–417. The Journal of Finance, 25(2), 383–417.
Giosi, A., & Caiffa, M. (2021). Political connections , media impact and state-owned enterprises : an empirical analysis on corporate financial performance. 33(3), 261–288. https://doi.org/10.1108/JPBAFM-12-2019-0188
Kolari, J. W., & Pynnönen, S. (2010). Event Study Testing with Cross-sectional Correlation of Abnormal Returns. The Review of Financial Studies, 23(11), 3996–4025. https://doi.org/10.1093/rfs/hhq072
MacKinlay, A. C. (1997). Event Studies in Economics and Finance. Journal of Economic Literature, 35(1), 13–39. http://www.jstor.org/stable/2729691
Mohamad, A. (2023). Elections and financial markets puzzle : Malaysian evidence. 49(4), 703–723. https://doi.org/10.1108/MF-04-2022-0185
Musah, G., & Domeher, D. (2024). Effect of presidential elections on investor herding behaviour in African stock markets. 19(5), 1157–1177. https://doi.org/10.1108/IJOEM-06-2021-0960
Nasraoui, M. (2024). The influence of economic policy uncertainty on stock market liquidity ? The mediating role of investor sentiment. https://doi.org/10.1108/JRF-06-2023-0129
Patell, J. M. (1976). Corporate Forecasts of Earnings Per Share and Stock Price Behavior: Empirical Test. Journal of Accounting Research, 14(2), 246–276. https://doi.org/10.2307/2490543
Pirgaip, B., & Uz, O. (2025). The value impact of venture capital acquisitions : an event study of technology start-up acquisitions (Vol. 51, Issue 10). https://doi.org/10.1108/MF-09-2024-0674
Repousis, S. (2016). Stocks ’ prices manipulation around national elections ? An event study for the case of. 248–256. https://doi.org/10.1108/JFC-03-2014-0012
Sekuritas, B. (2025). Menkeu Sebut Dana Pemerintah Rp200 Triliun Dialirkan Ke Bank Mulai Besok. September 2025, 4–7. https://bcasekuritas.co.id/en/latest-news/news/menkeu-sebut-dana-pemerintah-rp200-triliun-dialirkan-ke-bank-mulai-besok
Sharda, S. (2022). The short-term impact of analyst recommendations : evidence from the Indian stock market. 19(1), 2–19. https://doi.org/10.1108/XJM-12-2020-0239
Wang, H. (2018). The causality link between political risk and stock prices A counterfactual study in an emerging market. https://doi.org/10.1108/JFEP-07-2018-0106
Wang, S. (2024). Do metaverse implementation announcements enhance firms’ stock market value in China ? A signaling theory perspective. https://doi.org/10.1108/IMDS-06-2024-0584
Yiadom, E. B., Tay, V., Sefe, C. E. K., Gbade, V. A., & Osei-manu, O. (2024). Political change, elections, and stock market indicators : a generalized method of moment analysis. 6(1), 20–37. https://doi.org/10.1108/JHASS-09-2023-0111