Commodity Prices, the DJIA, and Inflation as Determinants of the Indonesian Composite Stock Price Index during COVID-19: An Empirical Analysis (2020–2022)
DOI:
https://doi.org/10.35870/ijmsit.v6i2.7991Keywords:
WTI crude oil, Dow Jones Industrial Average, Inflation, Indonesian Composite Stock Price Index, COVID-19Abstract
The COVID-19 crisis created an exceptional combination of falling economic activity, volatile energy prices, cross-border financial spillovers, and changing domestic inflation. This study investigates whether West Texas Intermediate (WTI) crude oil prices, the Dow Jones Industrial Average (DJIA), and Indonesia’s inflation rate were associated with movements in the Indonesian Composite Stock Price Index (IHSG) between March 2020 and December 2022. The analysis uses 34 monthly observations and applies a quantitative explanatory design, descriptive statistics, multiple linear regression, classical diagnostic tests, partial t-tests, a simultaneous F-test, and the coefficient of determination. The findings indicate that WTI prices, the DJIA, and inflation each have a positive and statistically significant relationship with the IHSG, with t-values of 4.144, 5.249, and 4.887, respectively. The predictors are also jointly significant (F = 134.935; p < 0.001), and the model explains 93.1% of the observed variation in the IHSG. The DJIA provides the strongest statistical signal, underscoring the role of global market sentiment. The study contributes by combining a global commodity indicator, an international equity-market benchmark, and a domestic price indicator in one Indonesian pandemic-period model. Because the sample is limited and the residuals exhibit positive serial correlation, the results should be interpreted as exploratory associations and validated in future research using dynamic time-series techniques.
Downloads
References
Al-Awadhi, A. M., Alsaifi, K., Al-Awadhi, A., & Alhammadi, S. (2020). Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns. Journal of Behavioral and Experimental Finance, 27, Article 100326. https://doi.org/10.1016/j.jbef.2020.100326
Ashraf, B. N. (2020). Stock markets’ reaction to COVID-19: Cases or fatalities? Research in International Business and Finance, 54, Article 101249. https://doi.org/10.1016/j.ribaf.2020.101249
Babbie, E. R. (2016). The practice of social research (14th ed.). Cengage Learning.
Baker, S. R., Bloom, N., Davis, S. J., Kost, K., Sammon, M., & Viratyosin, T. (2020). The unprecedented stock market reaction to COVID-19. The Review of Asset Pricing Studies, 10(4), 742–758. https://doi.org/10.1093/rapstu/raaa008
Basher, S. A., Haug, A. A., & Sadorsky, P. (2012). Oil prices, exchange rates and emerging stock markets. Energy Economics, 34(1), 227–240. https://doi.org/10.1016/j.eneco.2011.10.005
Basuki, A. T., & Prawoto, N. (2016). Analisis regresi dalam penelitian ekonomi dan bisnis: Dilengkapi aplikasi SPSS dan EViews. Rajawali Pers.
Bekaert, G., Harvey, C. R., & Ng, A. (2005). Market integration and contagion. The Journal of Business, 78(1), 39–70. https://doi.org/10.1086/426519
Beureukat, B., & Andriani, E. Y. (2021). Pengaruh harga minyak dunia, Indeks Dow Jones, dan Indeks Hang Seng terhadap Indeks Harga Saham Gabungan periode 2016–2020. Oikonomia: Jurnal Manajemen, 17(1), 1–12. https://doi.org/10.47313/oikonomia.v17i1.1129
Chen, N.-F., Roll, R., & Ross, S. A. (1986). Economic forces and the stock market. The Journal of Business, 59(3), 383–403. https://doi.org/10.1086/296344
Degiannakis, S., Filis, G., & Arora, V. (2018). Oil prices and stock markets: A review of the theory and empirical evidence. The Energy Journal, 39(5), 85–130. https://doi.org/10.5547/01956574.39.5.sdeg
Diebold, F. X., & Yilmaz, K. (2009). Measuring financial asset return and volatility spillovers, with application to global equity markets. The Economic Journal, 119(534), 158–171. https://doi.org/10.1111/j.1468-0297.2008.02208.x
Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecasting, 28(1), 57–66. https://doi.org/10.1016/j.ijforecast.2011.02.006
Enders, W. (2015). Applied econometric time series (4th ed.). Wiley.
Fama, E. F. (1981). Stock returns, real activity, inflation, and money. The American Economic Review, 71(4), 545–565.
Filis, G., Degiannakis, S., & Floros, C. (2011). Dynamic correlation between stock market and oil prices: The case of oil-importing and oil-exporting countries. International Review of Financial Analysis, 20(3), 152–164. https://doi.org/10.1016/j.irfa.2011.02.014
Forbes, K. J., & Rigobon, R. (2002). No contagion, only interdependence: Measuring stock market comovements. The Journal of Finance, 57(5), 2223–2261. https://doi.org/10.1111/0022-1082.00494
Geske, R., & Roll, R. (1983). The fiscal and monetary linkage between stock returns and inflation. The Journal of Finance, 38(1), 1–33. https://doi.org/10.1111/j.1540-6261.1983.tb03623.x
Ghozali, I. (2016). Aplikasi analisis multivariete dengan program IBM SPSS 23 (8th ed.). Badan Penerbit Universitas Diponegoro.
Goodell, J. W. (2020). COVID-19 and finance: Agendas for future research. Finance Research Letters, 35, Article 101512. https://doi.org/10.1016/j.frl.2020.101512
Hamilton, J. D. (2009). Causes and consequences of the oil shock of 2007–08. Brookings Papers on Economic Activity, 2009(1), 215–261. https://doi.org/10.1353/eca.0.0047
Haroon, O., & Rizvi, S. A. R. (2020). COVID-19: Media coverage and financial markets behavior—A sectoral inquiry. Journal of Behavioral and Experimental Finance, 27, Article 100343. https://doi.org/10.1016/j.jbef.2020.100343
Hesniati, H., Ogawa, A. Y., Clarence, A., Topher, C., & Engelina, J. (2022). Pengaruh inflation, interest rate, dan exchange rate terhadap IHSG di Bursa Efek Indonesia pada tahun 2011–2021. Studi Ilmu Manajemen dan Organisasi, 3(1), 261–271. https://doi.org/10.35912/simo.v3i1.1078
Humpe, A., & Macmillan, P. (2009). Can macroeconomic variables explain long-term stock market movements? A comparison of the US and Japan. Applied Financial Economics, 19(2), 111–119. https://doi.org/10.1080/09603100701748956
Jones, C. M., & Kaul, G. (1996). Oil and the stock markets. The Journal of Finance, 51(2), 463–491. https://doi.org/10.1111/j.1540-6261.1996.tb02691.x
Kilian, L., & Park, C. (2009). The impact of oil price shocks on the U.S. stock market. International Economic Review, 50(4), 1267–1287. https://doi.org/10.1111/j.1468-2354.2009.00568.x
Liu, H., Manzoor, A., Wang, C., Zhang, L., & Manzoor, Z. (2020). The COVID-19 outbreak and affected countries’ stock markets response. International Journal of Environmental Research and Public Health, 17(8), Article 2800. https://doi.org/10.3390/ijerph17082800
Machmuddah, Z., Utomo, S. D., Suhartono, E., Ali, S., & Ghulam, W. A. (2020). Stock market reaction to COVID-19: Evidence in customer goods sector with the implication for open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), Article 99. https://doi.org/10.3390/joitmc6040099
Midesia, S. (2022). Pengaruh Dow Jones Industrial Average dan Indeks Hang Seng terhadap Indeks Harga Saham Gabungan pada tahun 2021. Jurnal Penelitian Ekonomi Akuntansi, 6(2), 129–135. https://doi.org/10.33059/jensi.v6i2.6740
Nurhayati, I., Endri, E., Aminda, R. S., & Muniroh, L. (2021). Impact of COVID-19 on performance evaluation of large market capitalization stocks and open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), Article 56. https://doi.org/10.3390/joitmc7010056
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616
Priscilla, S., Hatane, S. E., & Tarigan, J. (2023). COVID-19 catastrophes and stock market liquidity: Evidence from the technology industry of four major ASEAN capital markets. Asia-Pacific Journal of Business Administration, 15(5), 695–720. https://doi.org/10.1108/APJBA-10-2021-0504
Ryandono, M. N. H., Muafi, M., & Guritno, A. (2021). Sharia stock reaction against COVID-19 pandemic: Evidence from Indonesian capital markets. The Journal of Asian Finance, Economics and Business, 8(2), 697–710. https://doi.org/10.13106/jafeb.2021.vol8.no2.0697
Septiani, D. (2020). The influence of the inflation rate and the interest rate of Bank Indonesia Certificates on the Composite Stock Price Index with the US dollar exchange rate as a moderating variable on the Indonesia Stock Exchange. Economics and Accounting Journal, 3(3), 212–220. https://doi.org/10.32493/eaj.v3i3.y2020.p212-220
Sharif, A., Aloui, C., & Yarovaya, L. (2020). COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach. International Review of Financial Analysis, 70, Article 101496. https://doi.org/10.1016/j.irfa.2020.101496
Syahri, A., & Robiyanto, R. (2020). The correlation of gold, exchange rate, and stock market on COVID-19 pandemic period. Jurnal Keuangan dan Perbankan, 24(3), 350–362. https://doi.org/10.26905/jkdp.v24i3.4621
Topcu, M., & Gulal, O. S. (2020). The impact of COVID-19 on emerging stock markets. Finance Research Letters, 36, Article 101691. https://doi.org/10.1016/j.frl.2020.101691
Trisnowati, Y., & Muditomo, A. (2021). COVID-19 and stock market reaction in Indonesia. Journal of Accounting and Investment, 22(1), 23–36. https://doi.org/10.18196/jai.v22i1.8859
Wahyono, B. (2022). The value of political connections and Sharia compliance during the COVID-19 pandemic. Eurasian Economic Review, 12, 1–28. https://doi.org/10.1007/s40822-021-00197-y
World Health Organization. (2020, March 11). WHO Director-General’s opening remarks at the media briefing on COVID-19—11 March 2020. World Health Organization.
Zhang, D., Hu, M., & Ji, Q. (2020). Financial markets under the global pandemic of COVID-19. Finance Research Letters, 36, Article 101528. https://doi.org/10.1016/j.frl.2020.101528
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Erlynda Yuniarti Kasim, Marsal Muhamad Dejan

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.
