TRANSMISI INFORMASI MAKROEKONOMI, BERITA POLITIK, DAN SENTIMEN GLOBAL TERHADAP VOLATILITAS PASAR SAHAM INDONESIA
Abstract
ABSTRAK
Penelitian ini bertujuan untuk menganalisis respons dinamis volatilitas Indeks Harga Saham Gabungan (IHSG) terhadap guncangan informasi makroekonomi, berita politik, dan sentimen global. Populasi dalam penelitian ini mencakup keseluruhan aktivitas perdagangan di Bursa Efek Indonesia, dengan penentuan sampel berupa observasi data time-series harian IHSG selama periode 2020–2024. Metode analisis data dilakukan menggunakan model Autoregressive with Exogenous Variables (AR-X) dengan penyesuaian Heteroskedasticity and Autocorrelation Consistent (HAC) Newey-West. Hasil penelitian menunjukkan bahwa volatilitas pasar secara signifikan didominasi oleh pergerakan historisnya sendiri (volatility clustering) dan sentimen risiko global (Indeks VIX). Sebaliknya, pengumuman BI7DRR, inflasi, dan berita politik tidak berpengaruh signifikan, yang memperkuat keberlakuan Efficient Market Hypothesis (EMH) karena informasi tersebut telah terantisipasi (priced-in). Namun, anomali ditemukan pada rilis surplus neraca perdagangan yang terbukti secara signifikan mampu meredam volatilitas. Implikasi penelitian ini merekomendasikan investor untuk memprioritaskan pemantauan Indeks VIX dan neraca perdagangan sebagai instrumen mitigasi risiko harian, serta menghindari aksi jual panik saat munculnya ketidakpastian politik.
ABSTRACT
This study aims to analyze the dynamic response of the Jakarta Composite Index (JCI) volatility to macroeconomic information shocks, political news, and global sentiment. The population in this study encompasses all trading activities on the Indonesia Stock Exchange (IDX), with the sample determined as daily time-series observations of the JCI during the 2020–2024 period. The data analysis method employs the Autoregressive with Exogenous Variables (AR-X) model with the Newey-West Heteroskedasticity and Autocorrelation Consistent (HAC) adjustment. The results indicate that market volatility is significantly dominated by its historical movements (volatility clustering) and global risk sentiment (VIX Index). Conversely, the BI7DRR announcements, inflation, and political news do not have a significant effect, strengthening the applicability of the Efficient Market Hypothesis (EMH) as the information has been anticipated (priced-in). However, an anomaly is found in the trade balance surplus release, which is proven to significantly dampen volatility. The implications of this study recommend investors to prioritize monitoring the VIX Index and trade balance as daily risk mitigation instruments, and to avoid panic selling during times of political uncertainty.
Keywords
References
Ahmad, S. J., & Badri, J. (2022). Pengaruh Inflasi Dan Tingkat Suku Bunga Terhadap Indeks Harga Saham Gabungan Yang Terdaftar Di Bursa Efek Indonesia Pada Tahun 2013-2021. Jurnal Economina, 1(3).
Amtiran, P. Y. (2025). The Impact Of Political Events On The Indonesia Stock Exchange. In Journal Of Management Small and Medium Enterprises (SME’s) (Vol. 18, Number 2).
Atu Rohmah, S. (2025). Pengaruh Suku Bunga dan Inflasi Terhadap Indeks Harga Saham Gabungan di Indonesia Periode 2021 - 2024. Jurnal Ekonomi Bisnis Antartika, 3(2), 91–97. https://doi.org/10.70052/jeba.v3i2.968
Baker, S. R., Bloom, N., Davis, S. J., Jorring, A., Kost, K., Al-Kuwari, A., Biffar, S., Boehnke, J., Dashkeyev, V., Deriy, O., Dinh, E., Ezure, Y., Gong, R., Jindal, S., Kim, R., Klosin, S., Koh, J., Lajewski, P., Nebiyu, D., … Katz, L. (2016). Measuring Economic Policy Uncertainty. www.policyuncertainty.com
Bernanke, B. S., & Kuttner, K. N. (2004). What Explains the Stock Market’s Reaction to Federal Reserve Policy?
Chan, K. F., & Smales, L. A. (2025). U.S. Presidential news coverage: Risk, uncertainty and stocks. International Review of Economics and Finance, 98. https://doi.org/10.1016/j.iref.2025.103927
Dianita, P. E., Dewi, M., Gede, L., & Dewi, K. (2025). Analisis Perubahan Harga Saham IDX30 Sebelum dan Sesudah Penetapan Hasil Pemilu 2024. Jurnal Ilmiah Akuntansi Dan Humanika, 15(1).
Fama, E. F. (1970). American Finance Association, Haas School of Business Efficient Capital Markets: A Review of Theory and Empirical Work. In Source: The Journal of Finance (Vol. 25, Number 2).
Forbes, K., & Rigobon, R. (2002). No Contagion, Only Interdependence: Measuring Stock Market Co-movements.
Hamdani, H., Elvaretta, K. L., Wardani, M. A. K., & Kartiasih, F. (2024). The Impact of General Elections on Stock Market Volatility in Indonesia (2004–2023). JPPUMA Jurnal Ilmu Pemerintahan Dan Sosial Politik Universitas Medan Area, 12(1), 75–96. https://doi.org/10.31289/jppuma.v12i1.11126
Karimi, C. W., & Nasieku, T. (2024). Behavioral Biases and Investment Decisions: An Empirical Review. International Journal of Social Science and Humanities Research (IJSSHR) ISSN 2959-7056 (o); 2959-7048 (p), 2(3), 324–331. https://doi.org/10.61108/ijsshr.v2i3.144
Kasnelly, S., & Habibah, K. (2025). Dampak Kebijakan Moneter Terhadap Penilaian Pasar Modal: Studi Kasus Obligasi Dan Saham Di Indonesia. Zona Keuangan, 15(1).
Kumala Dewi, C., & Masithoh Haryadi, R. (2021). Jurnal Ekonomi Dan Manajemen Volatility Analysis Of Indonesia Composite Index During Covid-19. Jurnal Ekonomi Dan Manajemen.
Lausegger, M. (2021). Stock Markets In Turmoil: Political Institutions And The Impact Of Elections. Economics And Politics, 33(1), 172–204. Https://Doi.Org/10.1111/Ecpo.12169
Li, W. (2024). International Journal Of Global Economics And Management Analysis Of Financial Market Efficiency.
Madhani, A. O. (2024). Dinamika Volatilitas Indeks Harga Saham Dan Indikator Makroekonomi: Mengelola Optimisme Pertumbuhan Ekonomi Indonesia Di Era Vuca. Bisnis Dan Pendidikan, 4(5), 2024. https://doi.org/10.17977/um066.v4.i5.2024.5
Market, J., Author, S., & Spence, M. (1973). Job Market Signaling. In Source: The Quarterly Journal of Economics (Vol. 87, Number 3).
Novak, D. (2025). The impact of macroeconomic measures on the valuation of listed equity in the US. Insights from high inflation periods. Managerial Economics, 26(1), 23. https://doi.org/10.7494/manage.2025.26.1.23
Page, L., & Siemroth, C. (2021). How Much Information Is Incorporated into Financial Asset Prices? Experimental Evidence. The Review OfFinancial Studies, 34(9), 4412–4449. https://doi.org/10.2307/48769664
Ross, S. A. (1977). The Determination of Financial Structure: The Incentive-Signalling Approach. In Source: The Bell Journal of Economics (Vol. 8, Number 1). https://www.jstor.org/stable/3003485
Ross, S. A. (1989). Information and Volatility: The No-Arbitrage Martingale Approach to Timing and Resolution Irrelevancy. In Source: The Journal of Finance (Vol. 44, Number 1).
Sayudha, A. A. G. R., & Rasmini, N. K. (2021). Reaksi Pasar atas Pengumuman Penurunan Bank Indonesia 7-Day Reverse Repo Rate. E-Jurnal Akuntansi, 31(8), 1907. https://doi.org/10.24843/eja.2021.v31.i08.p03
Spence, M. (1973). Job Market Signaling. The Quarterly Journal of Economics, 87(3), 355. https://doi.org/10.2307/1882010
Wasita, M. W. M., Artini, L. G. S., & Dana, I. M. (2022). The Effect of Bank Indonesia 7-Day Reverse Repo Rate on Profitability and Banking Capital in Indonesia. European Journal of Business and Management Research, 7(2), 90–95. https://doi.org/10.24018/ejbmr.2022.7.2.1338
Wehrli, A., & Sornette, D. (2022). The excess volatility puzzle explained by financial noise amplification from endogenous feedbacks. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-20879-0
Yohanes, Y., & Setyawan, I. R. (2024). Pengaruh volatilitas harga minyak, kurs, dan BI rate terhadap indeks harga saham gabungan 2018-2022. Jurnal Manajemen Bisnis Dan Kewirausahaan, 8(1), 29–40. https://doi.org/10.24912/jmbk.v8i1.28396
Zhang, X. (2024). The Impact of Macroeconomic Factors on Stock Valuation. In Business, Economics and Management PGMEE (Vol. 2024).
DOI: 10.34203/jimfe.v11i2.13292
Refbacks
- There are currently no refbacks.
Copyright (c) 2026 The Author(s)

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.










