•  
  •  
 

Abstract

This paper aims to assess the impact of the confirmed COVID-19 cases, the timing of the outbreak, and physical measures on the returns and spillover effects of exchange rate in Indonesia. The model will be tested by the exponential generalized autoregressive conditional heteroskedastic (EGARCH) process and the spillover volatility index. The study discovers that the confirmed cases, outbreak news, and the implementation of large-scale social restrictions simultaneously contribute to a leverage effect on the volatility of a direct quote of Indonesian Rupiah to Australian Dollar, Euro, US Dollar, Singapore Dollar, and Great British Pound. To a certain extent, the heatwave as well as the meteor-shower effects as a result of clustering events and intense spillover effects in the currency market of Indonesia are observed.

References

[1] Akhtaruzzaman, M, Boubaker, S & Sensoy, A 2021, ‘Financial contagion during COVID–19 crisis’, Finance Research Letters, vol. 38, p. 101604. doi: https://doi.org/10.1016/j.frl.2020.101604.

[2] Aloui, D 2021, ‘The COVID-19 pandemic haunting the transmission of the quantitative easing to the exchange rate’, Finance Research Letters, vol. 43, p. 102025. doi: https://doi.org/10.1016/j.frl.2021.102025.

[3] Alba, JD 1999, ‘Are there systematic relationships between China’s and Southeast Asia’s exchange rates? Evidence from DailyData’, Asian Economic Journal, vol. 13, no. 1, pp. 73-92. doi: https://doi.org/10.1111/1467-8381.00075.

[4] Baele, L 2005, ‘Volatility spillover effects in European equity markets’, The Journal of Financial and Quantitative Analysis, vol. 40, no. 2, pp. 373-401. doi: 10.1017/S0022109000002350.

[5] Baillie, RT & Bollerslev, T 1991, ‘Intra-day and intermarket volatility in foreign exchange rates’, The Review of Economic Studies, vol. 58, no. 3, pp. 565-585. doi: https://doi.org/10.2307/2298012.

[6] Bank Indonesia 2021, Indonesian economic and financial statistics (SEKI). viewed 7 July 2021, .

[7] Bora, D & Basistha, D 2021, ‘The outbreak of COVID- 19 pandemic and its impact on stock market volatility: Evidence from a worst-affected economy’, Journal of Public Affairs, vol. 21, no. 4, e2623. doi: https://doi.org/10.1002/pa.2623.

[8] Bubák, V, Kocenda, E, & Žikeš, F 2011, ‘Volatility transmission in emerging European foreign exchange markets’, Journal of Banking & Finance, vol. 35, no. 11, pp. 2829- 2841. doi: https://doi.org/10.1016/j.jbankfin.2011.03.012.

[9] Diebold, FX & Yilmaz, K 2009, ‘Measuring financial asset return and volatility spillovers, with application to global equity markets’, The Economic Journal, vol. 119, no. 534, pp. 158-171. doi: https://doi.org/10.1111/j.1468- 0297.2008.02208.x

[10] Engle, RF, Ito, T & Lin, W 1990, ‘Meteor showers or heat wave? Heteroskedastic intra-daily volatility in the foreign exchange market’, Econometrica, vol. 58, no. 3, pp. 525- 542. doi: https://doi.org/10.2307/2938189.

[11] Eschachasthi, R 2021 ‘Exporters in the time of COVID- 19 pandemic: Evidence from Indonesia’, Economics and Finance in Indonesia, vol. 68, no. 1, pp. 1-16.

[12] Fama, EF 1970, ‘Efficient capital markets: A review of theory and empirical work’, The Journal of Finance, vol. 25, no. 2, pp. 383-417. doi: https://doi.org/10.2307/2325486.

[13] Feng, GF, Yang, HC, Gong, Q & Chang, CP 2021, ‘What is the exchange rate volatility response to Covid-19 and government interventions?’, Economic Analysis and Policy, no. 69, pp. 705-719. https://doi.org/10.1016/j.eap.2021.01.018.

[14] Gabauer, D & Gupta, R 2018, ‘On the transmission mechanism of country-specific and international economic uncertainty spillovers: Evidence from a TVP-VAR connectedness decomposition approach’, Economics Letters, vol. 171, pp. 63-71. doi: https://doi.org/10.1016/j.econlet.2018.07.007.

[15] Garg, B & Prabheesh, KP 2021, ‘The nexus between the exchange rates and interest rates: Evidence from BRIICS economies during the COVID-19 pandemic’, Studies in Economics and Finance, vol. 38, no. 2, pp. 469-486. doi: https://doi.org/10.1108/SEF-09-2020-0387.

[16] Hogan, KC & Melvin, MT 1994, ‘Sources of meteor showers and heat waves in the foreign exchange market’, Journal of International Economics, vol. 37, no. 3-4, pp. 239-47. doi: https://doi.org/10.1016/0022-1996(94)90047-7.

[17] Hong, Y 2001, ‘A test for volatility spillover with application to exchange rates’, Journal of Econometrics, vol. 103, no. 1-2, pp. 183-224. doi: https://doi.org/10.1016/S0304- 4076(01)00043-4.

[18] Ibrahim, BM & Brzeszczynski, J 2009, ‘Inter-regional and region-specific transmission of international stock market returns: The role of foreign information’, Journal of International Money and Finance, vol. 28, no. 2, pp. 322-343. doi: https://doi.org/10.1016/j.jimonfin.2008.03.002.

[19] Inagaki, K 2007, ‘Testing for volatility spillover between the British pound and the euro’, Research in International Business and Finance, vol. 21, no. 2, pp. 161-174. doi: https://doi.org/10.1016/j.ribaf.2006.03.006.

[20] Ito, T, Engle, RF & Lin, WL 1992, ‘Where does the meteor shower come from? The role of stochastic policy coordination’, Journal of International Economics, vol. 32, no. 3-4, pp. 221-240. doi: https://doi.org/10.1016/0022- 1996(92)90018-F.

[21] Iyke, BN 2020, ‘The disease outbreak channel of exchange rate return predictability: Evidence from COVID-19’, Emerging Markets Finance and Trade, vol. 56, no. 10, pp. 2277-2297. doi: https://doi.org/10.1080/1540496X.2020.1784718.

[22] Malkiel, BG 2003, ‘The efficient market hypothesis and its critics’, Journal of Economic Perspectives, vol. 17, no. 1, pp. 59-82. doi: https://doi.org/10.1257/089533003321164958.

[23] Mandelbrot, B 1963, ‘The variation of certain speculative prices’, The Journal of Business, vol. 36, no. 4, pp. 394-419. https://www.jstor.org/stable/2350970.

[24] Melvin, M & Melvin, BP 2003, ‘The global transmission of volatility in the foreign exchange market’, The Review of Economics and Statistics, vol. 85, no. 3, pp. 670-679. https://www.jstor.org/stable/3211705.

[25] Narayan, PK 2020, ‘Has COVID-19 changed exchange rate resistance to shocks?’, Asian Economics Letters, vol. 1, no. 1. doi: https://doi.org/10.46557/001c.17389.

[26] Nelson, DB 1991, ‘Conditional heteroskedasticity in asset returns: A new approach’, Econometrica, vol. 59, no. 2, pp. 347-370. doi: https://doi.org/10.2307/2938260.

[27] Phan, DHB & Narayan, PK 2020, ‘Country responses and the reaction of the stock market to COVID- 19—a preliminary exposition’, Emerging Markets Finance and Trade, vol. 56, no. 10, pp. 2138-2150. doi: https://doi.org/10.1080/1540496X.2020.1784719.

[28] Presidential Decree No. 7 2020, The Acceleration of the Country’s COVID-19 Handling, Led by a Task Force Steering Council = Keputusan Presiden Nomor 7 Tahun 2020 tentang Gugus Tugas Percepatan Penanganan Corona Virus Disease 2019 (COVID-19).

[29] Presidential Decree No. 11 2020, Determining the Corona Virus Disease 2019 (COVID-19) Public Health Emergency = Keputusan Presiden (KEPPRES) Nomor 11 Tahun 2020 tentang Penetapan Kedaruratan Kesehatan Masyarakat Corona Virus Disease 2019 (COVID-19).

[30] Sharma, SS, Phan, DHB & Narayan, PK 2019, ‘Exchange rate effects of US government shutdowns: Evidence from both developed and emerging markets’, Emerging Markets Review, vol. 40, p. 100626. doi: https://doi.org/10.1016/j.ememar.2019.100626.

[31] WHO 2021, Indonesia country report, provided in CEIC, World Health Organization.

[32] Wei, Z, Luo, Y, Huang, Z & Guo, K 2020, ‘Spillover effects of RMB exchange rate among B&R countries: Before and during COVID-19 event’, Finance Research Letters, vol. 37, p. 101782. doi: https://doi.org/10.1016/j.frl.2020.101782.

Share

COinS