Email this article Determinant of Indonesian Stock Market’s Volatility During the Covid-19 Pandemic
Abstract
The aim of this study is to examine variables that influenced the Jakarta Composite Index (JCI) volatility during the outbreak of COVID-19. The independent variables that are used are gold return volatility and USD/IDR return volatility. This analysis uses daily-time series data which are divided into three periods, those are; before the pandemic (January 2019-August 2019), during the pandemic (January 2020-August 2020), and from January 2019 through August 2020. The method that is used in this study is GARCH analysis in order to dodge data abnormality and heteroscedasticity. Before conducting GARCH analysis, unit root and normality test are conducted to know if the data are stationaries and to decide which GARCH distribution is the most suitable for the data analysis (Gaussian, t-student, or GED distribution). It is proven in this study that during the COVID-19 pandemic, gold return volatility positively affected the JCI volatility and USD/IDR volatility negatively affected JCI volatility. This research can be used as a consideration for investors in choosing their investment during the pandemic or financial crisis by examining gold and USD/IDR volatility effect on JCI volatility.
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Abd Rahman, R., & Ramli, R. (2012). The Effect of Macroeconomic Variables on Stock Price Volatility: Evidence from Jakarta Composite Index, Agriculture, and Basic Industry Sector. International Proceedings of Economics Development and Research, 46, 96–100. https://doi.org/10.7763/IPEDR
Adam, P. (2014). Statistical Characteristics of Jakarta Composite Index (JCI) Dynamics Based on Short Term Data Represented in Candles. International Journal of Economics, Finance and Management Sciences, 2(2), 138–142. https://doi.org/10.11648/j.ijefm.20140202.14
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, 2–5. https://doi.org/10.1016/j.jbef.2020.100326
Baker, S. R., Bloom, N., Davis, S. J., Kost, K. J., Sammon, M. C., & Viratyosin, T. (2020). The Unprecendeted Stock Market Impact of COVID-19. National Bureau of Economic Research, 26945, 1689–1699. https://marcosammon.com/images/StockMarkets_COVID.pdf
Baur, D. G., & Lucey, B. M. (2010). Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold. Financial Review, 45(2), 217–229. https://doi.org/10.1111/j.1540-6288.2010.00244.x
Baur, D. G., & McDermott, T. K. (2010). Is Gold a Safe Haven? International Evidence. Journal of Banking and Finance, 34(8), 1886–1898. https://doi.org/10.1016/j.jbankfin.2009.12.008
Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327. https://doi.org/10.1109/TNN.2007.902962
Chandra, C. E. (2020). Reaching New Equilibrium of Rupiah: How It Can be Weaker by COVID-19? Research Gate, 2, 2–9. https://doi.org/10.13140/RG.2.2.34693.09444
Cohen, G., & Qadan, M. (2010). Is Gold Still a Shelter to Fear? American Journal of Social and Management Sciences, 1(1), 39–43. https://doi.org/10.5251/ajsms.2010.1.1.39.43
Daly, K. (2011). An Overview of the Determinants of Financial Volatility: An Explanation of Measuring Techniques. Modern Applied Science, 5(5), 46–63. https://doi.org/10.5539/mas.v5n5p46
Endri, E., Abidin, Z., Simanjuntak, T. P., & Nurhayati, I. (2020). Indonesian Stock Market Volatility: GARCH Model. Montenegrin Journal of Economics, 16(2), 7–17. https://doi.org/10.14254/1800-5845/2020.16-2.1
Engle. (1982). Autoregressive Conditional Heteroscedacity with Estimates of variance of United Kingdom Inflation,journal of Econometrica, Volume 50, Issue 4 (Jul., 1982),987-1008. In Econometrica (Vol. 50, Issue 4, pp. 987–1008). https://doi.org/10.2307/1912773
Engle, R. F. (1983). Estimates of the Variance of U.S. Inflation Based upon the ARCH Model. Journal of Money, Credit and Banking, 15(3), 286. https://doi.org/10.2307/1992480
Handayani, H., Muharam, H., Mawardi, W., & Robiyanto, R. (2018). Determinants of the Stock Price Volatility in the Indonesian Manufacturing Sector. International Research Journal of Business Studies, 11(3), 179–193. https://doi.org/10.21632/irjbs.11.3.179-193
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., Cheng, Z., Yu, T., Xia, J., Wei, Y., Wu, W., Xie, X., Yin, W., Li,
H., Liu, M., … Cao, B. (2020). Clinical Features of Patients Infected with 2019 Novel Coronavirus in Wuhan, China. The Lancet, 395(10223), 497–506. https://doi.org/10.1016/S0140-6736(20)30183-5
Hussin, M. Y. M., Muhammad, F., Razak, A. A., Tha, G. P., & Marwan, N. (2013). The Link Between Gold Price, Oil Price and Islamic Stock Market: Experience from Malaysia. Journal of Studies in Social Sciences, 4(2), 161–182. https://www.researchgate.net/publication/306536880
Ibrahim, M. H., & Baharom, A. H. (2011). The Role of Gold in Financial Investment: A Malaysian Perspective. Economic Computation and Economic Cybernetics Studies and Research, 45(4), 227–238. http://www.ecocyb.ase.ro/nr4
Ji, Q., Zhang, D., & Zhao, Y. (2020). Searching for Safe-Haven Assets during the COVID-19 Pandemic. International Review of Financial Analysis, 71(May), 101526. https://doi.org/10.1016/j.irfa.2020.101526
Kalu, E., & Okwuchukwu, O. (2014). Stock Market Return Volatility and Macroeconomic Variables in Nigeria. International Journal of Empirical Finance, 2(2), 75–82. https://www.academia.edu/download/33870332/Paper_3.pdf
Karali, B., & Power, G. J. (2010). Commodity Price Volatility and the Economic Uncertainty of Pandemic. The Rimini Centre for Economic Analysis (RCEA), 20(12), 1–14. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3581193
Karmakar, M. (2005). Modeling Conditional Volatility of the Indian Stock Markets. Vikalpa, 30(3), 21–37. https://doi.org/10.1177/0256090920050303
Kirui, E., Wawire, N. H. W., & Onono, P. O. (2014). Macroeconomic Variables, Volatility and Stock Market Returns: A Case of Nairobi Securities Exchange, Kenya. International Journal of Economics and Finance, 6(8), 214–228. https://doi.org/10.5539/ijef.v6n8p214
Kishor, N., & Singh, R. P. (2016). Stock Return Volatility Effect : Study of BRICS. Transnational Corporations Review, 6(4), 406–418. https://doi.org/10.5148/tncr.2014.6406
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), 1–19. https://doi.org/10.3390/ijerph17082800
Miyazaki, T., & Hamori, S. (2013). Testing for Causality Between the Gold Return and Stock Market Performance: Evidence for “Gold Investment In Case of Emergency.” Applied Financial Economics, 23(1), 27–40. https://doi.org/10.1080/09603107.2012.699184
Mohd Nor, A. H. S., & Shamiri, A. (2007). Modeling and forecasting volatility of the Malaysian and the Singporean stock indices using asymmetric GARCH models and non-normal densities. Malaysian Journal of Mathematical Sciences, 1(1), 83–102. https://einspem.upm.edu.my/jurnal/index.php/mjms/article/view/15
Naryono, E., & Sukabumi, S. (2020). Impact of National Disaster Covid-19, Indonesia Towards Economic Recession. Center for Open Science, 5(3), 1–10. https://osf.io/preprints/5cj3d/
Nia, V. M. (2020). The Effect of Corona Outbreak on the Indonesian Stock Market. American Journal of Humanities and Social Sciences Research (AJHSSR), 4(3), 358–370. https://www.ajhssr.com/wp-content/uploads/2020/03/ZU2043358370.pdf
Olweny, & Omondi. (2011). The Effect of Macro-Economic Factors on Stock Return Volatility in the Nairobi Stock Exchange, Kenya. Economics and Finance Review, 1(10), 34–48. http://www.businessjournalz.org/efr
Pandey, A. (2005). Volatility Models and Their Performance in Indian Capital Markets. Vikalpa, 30(2), 27–46. https://doi.org/10.1177/0256090920050203
Pantas, P. E., Ryandono, M. N. H., Munir, M., & Wahyudi, R. (2019). Cointegration of Stock Market and Exchange Rate in Indonesia. Ihtifaz: Journal of Islamic Economics, Finance, and Banking, 2(2), 125. https://doi.org/10.12928/ijiefb.v2i2.886
Pinjaman, S. Bin, & Aralas, S. B. (2015). The Dynamic Stock Returns Volatility and Macroeconomic Factors in Malaysia: A Sectoral Study. South East Asia Journal of Contemporary Business, Economics and Law, Vol. 8, 8(3), 33–40. https://www.researchgate.net/publication/335791067
Prawirosaputro, B., & Hapsari, Y. D. (2017). The Effects of Rupiah Currency, World Oil Prices, and World Gold Price on Composited Stock Price Index (IHSG) in 2016. Jurnal Manajemen, 14(2), 144–151. https://doi.org/10.25170/jm.v14i2.784
Putra, A. R., & Robiyanto, R. (2019). The Effect of Commodity Price Changes and USD/IDR Exchange Rate on Indonesian Mining Companies’ Stock Return. Jurnal Keuangan Dan Perbankan, 23(1), 97–108. https://doi.org/10.26905/jkdp.v23i1.2084
Rashid Sabri, N. (2004). Stock Return Volatility and Market Crisis In Emerging Economies. Review of Accounting and Finance, 3(3), 59–83. https://doi.org/10.1108/eb043408
Robiyanto, R. (2018). The Effect of Gold Price Changes, USD/IDR Exchange Rate Changes and Bank Indonesia (BI) Rate on Jakarta Composite Index (JCI)’S Return and Jakarta Islamic Index (JII)’S Return. Jurnal Manajemen Dan Kewirausahaan, 20(1), 45. https://doi.org/10.9744/jmk.20.1.45-52
Robiyanto, R., Santoso, M. A., Atahau, A. D. R., & Harijono, H. (2019). The Indonesia Stock Exchange and Its Dynamics: An Analysis of the Effect of Macroeconomic Variables. Montenegrin Journal of Economics, 15(4), 59–73. https://doi.org/10.14254/1800-5845/2019.15-4.5
Robiyanto, R., Wahyudi, S., & Pangestuti, I. R. D. (2017). The Volatility–Variability Hypotheses Testing and Hedging Effectiveness of Precious Metals for the Indonesian and Malaysian Capital Markets. Gadjah Mada International Journal of Business, 19(2), 167–192. https://doi.org/10.22146/gamaijb.26260
Sansa, N. A. (2020). The Impact of the Covid-19 on the Financial Markets: Evidence from China and USA. Electronic Research Journal of Social Sciences and Humanities, 2(2), 29–39. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3567901
Senol, Z., & Zeren, F. (2020). Coronavirus (COVID-19) and Stock Markets: The Effects of the Pandemic on the Global Economy. Eurasian Journal of Researches in Social and Economics (EJRSE), 7(4), 1–16. https://www.researchgate.net/publication/341029980
Surbakti, E. H., Achsani, N. A., & Maulana, T. N. A. (2016). The Impact of Macroeconomic Variables on JCI’s Stock Return Volatility in Pre and Post Global Economic Crisis. International Journal of Scientific and Research Publications, 6(3), 213–220. https://pdfs.semanticscholar.org/c64d/66c315946989731e3fb0e322a45b70ddf93c.pdf
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
Temmuz, F. D., & Oma, A. (2012). An Observation of the Relationship Between Gold Prices and Selected Financial Variables in Turkey. Muhasebe ve Finansman Dergisi, 55, 195–206. http://www.journal.mufad.org.tr/attachments/article/661/11.pdf
Vahlevi, T. M. R., & Muharam, H. (2017). Quantitative Easing Program and Financial Market Volatility in Indonesia. Journal of Economics and Policy (Jejak), 10(1), 80–89. https://doi.org/10.15294/jejak.v10i1.9128
Wahyudi, R. N., Asdar, M., & Nohong, M. (2017). The Influence of Macroeconomic Variables Toward Jakarta Composite Index on Indonesia Stock Exchange. Jurnal Bisnis, Manajemen Dan Informatika, 14(2), 131–148. https://doi.org/http://dx.doi.org/10.26487/jbmi.v14i2.2164
Walid, C., Chaker, A., Masood, O., & Fry, J. (2011). Stock Market Volatility and Exchange Rates in Emerging Countries: A Markov-State Switching Approach. Emerging Markets Review, 12(3), 272–292. https://doi.org/10.1016/j.ememar.2011.04.003
WHO South-East Asia. (2020). Global Update on Coronavirus Disease. WHO South-East Asia. https://www.who.int/indonesia/news/novel-coronavirus
World Health Organization. (2020). WHO Timeline - Covid-19. World Health Organization. https://www.who.int/news-room/detail/27-04-2020-who-timeline---covid-19
Yaya, O. O. S., Olubusoye, O. E., & Ojo, O. O. (2014). Estimates and Forecasts of GARCH Model Under Misspecified Probability Distributions: A Monte Carlo Simulation Approach. Journal of Modern Applied Statistical Methods, 13(2), 479–492. https://doi.org/10.22237/jmasm/1414816020
Zhang, D., Hu, M., & Ji, Q. (2020). Financial Markets Under the Global Pandemic of COVID-19. Finance Research Letters, 10, 101–528. https://doi.org/10.1016/j.frl.2020.101528
DOI: https://doi.org/10.26905/jkdp.v25i1.4980
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