Oil crisis vs pandemic: a broader outlook of time-frequency volatility transmission between Islamic and conventional stock markets

References

• Adekoya, O. B., Oliyide, J. A., & Tiwari, A. K. (2022). Risk transmissions between sectoral Islamic and conventional stock markets during COVID-19 pandemic: What matters more between actual COVID-19 occurrence and speculative and sentiment factors? Borsa Istanbul Review, 22(2), 363–376. https://doi.org/10.1016/j.bir.2021.06.002
   Web of Science ®Google Scholar
• Agyei, S. K., Owusu Junior, P., Bossman, A., Asafo-Adjei, E., Asiamah, O., & Adam, A. M. (2022). Spillovers and contagion between BRIC and G7 markets: New evidence from time-frequency analysis. PLOS One, 17(7), e0271088. https://doi.org/10.1371/journal.pone.0271088
   PubMed Web of Science ®Google Scholar
• Ahmad, W., Kutan, A. M., & Gupta, S. (2021). Black swan events and COVID-19 outbreak: Sector level evidence from the US, UK, and European stock markets. International Review of Economics & Finance, 75, 546–557. https://doi.org/10.1016/j.iref.2021.04.007
   Web of Science ®Google Scholar
• Ali, K., Ashfaque, M., Saleem, A., Bárczi, J., & Sági, J. (2022). Did the Islamic stock index provide shelter for investors during the COVID-19 crisis? Evidence from an emerging stock market. Risks, 10(6), 109. https://doi.org/10.3390/risks10060109
   Web of Science ®Google Scholar
• Ali, S. R. M., Mensi, W., Anik, K. I., Rahman, M., & Kang, S. H. J. E. A. (2022). The impacts of COVID-19 crisis on spillovers between the oil and stock markets: Evidence from the largest oil importers and exporters. Economic Analysis and Policy, 73, 345–372. https://doi.org/10.1016/j.eap.2021.11.009
   Google Scholar
• Aloui, C., Asadov, A., Al-Kayed, L., Hkiri, B., & Danila, N. (2022). Impact of the COVID-19 outbreak and its related announcements on the Chinese conventional and Islamic stocks’ connectedness. The North American Journal of Economics and Finance, 59, 101585. https://doi.org/10.1016/j.najef.2021.101585
   Web of Science ®Google Scholar
• Alsubaie, S. M., Mahmoud, K. H., Asafo-Adjei, E., & Bossman, A. (2023). Time-frequency connectedness between Shariah indices in a systemic crisis era. Complexity, 2023, 1–17. https://doi.org/10.1155/2023/5602895
   Web of Science ®Google Scholar
• Ansell, C., & Boin, A. (2019). Taming deep uncertainty: The potential of pragmatist principles for understanding and improving strategic crisis management. Administration & Society, 51(7), 1079–1112. https://doi.org/10.1177/0095399717747655
   Web of Science ®Google Scholar
• Aslam, F., Ferreira, P., Ali, H., Oliveira, M., & Arifa. (2023). Islamic vs. conventional equity markets: A multifractal cross-correlation analysis with economic policy uncertainty. Economies, 11(1), 16. https://doi.org/10.3390/economies11010016
   Web of Science ®Google Scholar
• Aziz, T., Marwat, J., Mustafa, S., Zeeshan, A., & Iqbal, Y. (2021). Linkage between US financial uncertainty and stock markets of SAARC countries. The Journal of Asian Finance, Economics and Business, 8(2), 747–757.
   Web of Science ®Google Scholar
• Bahloul, S., & Khemakhem, I. (2021). Dynamic return and volatility connectedness between commodities and Islamic stock market indices. Resources Policy, 71, 101993. https://doi.org/10.1016/j.resourpol.2021.101993
   Web of Science ®Google Scholar
• Baruník, J., & Křehlík, T. (2018). Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk*. Journal of Financial Econometrics, 16(2), 271–296. https://doi.org/10.1093/jjfinec/nby001
   Web of Science ®Google Scholar
• Basher, S. A., Haug, A. A., & Sadorsky, P. (2018). The impact of oil-market shocks on stock returns in major oil-exporting countries. Journal of International Money and Finance, 86, 264–280. https://doi.org/10.1016/j.jimonfin.2018.05.003
   Web of Science ®Google Scholar
• Bossman, A., Junior, P. O., & Tiwari, A. K. (2022). Dynamic connectedness and spillovers between Islamic and conventional stock markets: time-and frequency-domain approach in COVID-19 era. Heliyon, 8(4), e09215. https://doi.org/10.1016/j.heliyon.2022.e09215
   PubMed Web of Science ®Google Scholar
• Chien, F., Sadiq, M., Kamran, H. W., Nawaz, M. A., Hussain, M. S., & Raza, M. (2021). Co-movement of energy prices and stock market return: Environmental wavelet nexus of COVID-19 pandemic from the USA, Europe, and China. Environmental Science and Pollution Research, 28(25), 32359–32373. https://doi.org/10.1007/s11356-021-12938-2
   PubMed Web of Science ®Google Scholar
• Chowdhury, M. I. H., Balli, F., & de Bruin, A. (2022). Islamic equity markets versus their conventional counterparts in the COVID−19 age: Reaction, resilience, and recovery. International Review of Finance, 22(2), 315–324. https://doi.org/10.1111/irfi.12349
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Geng, J.-B., Chen, F.-R., Ji, Q., & Liu, B.-Y. (2021). Network connectedness between natural gas markets, uncertainty and stock markets. Energy Economics, 95, 105001. https://doi.org/10.1016/j.eneco.2020.105001
   Web of Science ®Google Scholar
• Hamid, K., Akash, R. S. I., & Ghafoor, M. M. (2019). Testing of volatility spillovers dynamics and network connectedness between Islamic indices of regional stock markets. Global Regional Review, IV(I), 128–137. https://doi.org/10.31703/grr.2019(IV-I).15
   Google Scholar
• Hamid, K., Ghafoor, M. M., & Saeed, M. Y. (2020). Emerging markets and volatility spillover effects: Empirical evidence from regional emerging economies of Pakistan, China, India, and Bangladesh. Global Economics Review, V(I), 102–116. https://doi.org/10.31703/ger.2020(V-I).09
   Google Scholar
• Hasan, M. B., Mahi, M., Hassan, M. K., & Bhuiyan, A. B. (2021). Impact of COVID-19 pandemic on stock markets: Conventional vs. Islamic indices using wavelet-based multi-timescales analysis. The North American Journal of Economics and Finance, 58, 101504. https://doi.org/10.1016/j.najef.2021.101504
   Web of Science ®Google Scholar
• Hassan, M. K., Chowdhury, M. I. H., Balli, F., & Hasan, R. (2022). A note on COVID-19 instigated maximum drawdown in Islamic markets versus conventional counterparts. Finance Research Letters, 46, 102426. https://doi.org/10.1016/j.frl.2021.102426
   Web of Science ®Google Scholar
• Hung, N. T. (2021a). Directional spillover effects between BRICS stock markets and economic policy uncertainty. Asia-Pacific Financial Markets, 28(3), 429–448. https://doi.org/10.1007/s10690-020-09328-y
   Web of Science ®Google Scholar
• Hung, N. T. (2021b). Financial connectedness of GCC emerging stock markets. Eurasian Economic Review, 11(4), 753–773. https://doi.org/10.1007/s40822-021-00185-2
   Web of Science ®Google Scholar
• Kang, S. H., Uddin, G. S., Troster, V., & Yoon, S.-M. (2019). Directional spillover effects between ASEAN and world stock markets. Journal of Multinational Financial Management, 52–53, 100592. https://doi.org/10.1016/j.mulfin.2019.100592
   Web of Science ®Google Scholar
• Karim, M. M., Chowdhury, M. A. F., & Masih, M. (2022). Re-examining oil and BRICS’stock markets: New evidence from wavelet and MGARCH-DCC. Macroeconomics and Finance in Emerging Market Economies, 15(2), 196–214. https://doi.org/10.1080/17520843.2020.1861047
   Web of Science ®Google Scholar
• Khalid, H. M., Farooq, S., Liaqat, F., & Naeem, M. (2021). Assessment of return and volatility spillover across sectors’ indices: Evidence from Pakistan stock exchange. International Journal of Monetary Economics and Finance, 14(5), 477–496. https://doi.org/10.1504/IJMEF.2021.118281
   Google Scholar
• Kindleberger, C. P., Aliber, R. Z., & Solow, R. M. (2005). Manias, panics, and crashes: A history of financial crises (Vol. 7). Palgrave Macmillan.
   Google Scholar
• Kotishwar, A. (2021). Global markets effect on stock market volatility with reference to SAARC nations–a study. A Kotishwar, global markets effect on stock market volatility with reference to SAARC nations–a study. International Journal of Management, 11(12), 2020.
   Google Scholar
• Lewis, W. A., & Kindleberger, C. P. (1979). Manias, panics and crashes: a history of financial crises. Journal of Interdisciplinary History, 10(2), 356. https://doi.org/10.2307/203353
   Web of Science ®Google Scholar
• Li, Y., Zhuang, X., Wang, J., & Dong, Z. (2021). Analysis of the impact of COVID-19 pandemic on G20 stock markets. The North American Journal of Economics and Finance, 58, 101530. https://doi.org/10.1016/j.najef.2021.101530
   Web of Science ®Google Scholar
• Lin, S., & Chen, S. (2021). Dynamic connectedness of major financial markets in China and America. International Review of Economics & Finance, 75, 646–656. https://doi.org/10.1016/j.iref.2021.04.033
   Web of Science ®Google Scholar
• Liu, Y., Wei, Y., Wang, Q., & Liu, Y. (2022). International stock market risk contagion during the COVID-19 pandemic. Finance Research Letters, 45, 102145. https://doi.org/10.1016/j.frl.2021.102145
   PubMed Web of Science ®Google Scholar
• Mensi, W., Gubareva, M., Ko, H. U., Vo, X. V., & Kang, S. H. (2023). Tail spillover effects between cryptocurrencies and uncertainty in the gold, oil, and stock markets. Financial Innovation, 9, 92, https://doi.org/10.1186/s40854-023-00498-y
   PubMed Web of Science ®Google Scholar
• Mensi, W., Boubaker, F. Z., Al-Yahyaee, K. H., & Kang, S. H. (2018). Dynamic volatility spillovers and connectedness between global, regional, and GIPSI stock markets. Finance Research Letters, 25, 230–238. https://doi.org/10.1016/j.frl.2017.10.032
   Web of Science ®Google Scholar
• Mensi, W., Nekhili, R., Vo, X. V., Suleman, T., & Kang, S. H. (2021a). Asymmetric volatility connectedness among US stock sectors. The North American Journal of Economics and Finance, 56, 101327. https://doi.org/10.1016/j.najef.2020.101327
   Web of Science ®Google Scholar
• Mensi, W., Rehman, M. U., Maitra, D., Al-Yahyaee, K. H., & Vo, X. V. (2021b). Oil, natural gas and BRICS stock markets: Evidence of systemic risks and co-movements in the time-frequency domain. Resources Policy, 72, 102062. https://doi.org/10.1016/j.resourpol.2021.102062
   Web of Science ®Google Scholar
• Naeem, M. A., Farid, S., Arif, M., Paltrinieri, A., & Alharthi, M. (2022). COVID-19 and connectedness between sustainable and Islamic equity markets. Borsa Istanbul Review, 23(1), 1–21. https://doi.org/10.1016/j.bir.2022.06.001
   Web of Science ®Google Scholar
• Naeem, M. A., Qureshi, F., Farid, S., Tiwari, A. K., & Elheddad, M. (2021). Time-frequency information transmission among financial markets: Evidence from implied volatility. Annals of Operations Research, 334(1-3), 701–729. https://doi.org/10.1007/s10479-021-04266-y
   Web of Science ®Google Scholar
• Owusu Junior, P. (2022). Dynamic connectedness, spillovers, and delayed contagion between Islamic and conventional bond markets: Time-and frequency-domain approach in COVID-19 era. Discrete Dynamics in Nature and Society, 2022, 1–18. https://doi.org/10.1155/2022/1606314
   Web of Science ®Google Scholar
• Panda, P., Vasudevan, S., & Panda, B. (2021). Dynamic connectedness among BRICS and major countries stock markets. Journal of Public Affairs, 21(3), e2265. https://doi.org/10.1002/pa.2265
   Web of Science ®Google Scholar
• Rehman, M. U., Khursheed, Z., & Ali, M. K. (2023). Time-frequency volatility spillovers of conventional stock markets: Evidence from developed, emerging, and frontier markets. Journal of Finance and Accounting Research, 5(1), 1–29. https://doi.org/10.32350/jfar.51.01
   Google Scholar
• Saleem, A., Bárczi, J., & Sági, J. (2021). Covid-19 and Islamic stock index: Evidence of market behavior and volatility persistence. Journal of Risk and Financial Management, 14(8), 389. https://doi.org/10.3390/jrfm14080389
   Web of Science ®Google Scholar
• Setiawan, B., Afin, R., Wikurendra, E. A., Nathan, R. J., & Fekete-Farkas, M. (2022). Covid-19 pandemic, asset prices, risks, and their convergence: A survey of Islamic and G7 stock market, and alternative assets. Borsa Istanbul Review, 22, S47–S59. https://doi.org/10.1016/j.bir.2022.11.011
   Web of Science ®Google Scholar
• Sevinç, D. (2022). Volatility spillovers among MIST stock markets. Data Science in Finance and Economics, 2(2), 80–95. https://doi.org/10.3934/DSFE.2022004
   Google Scholar
• Shah, A. A., & Dar, A. B. (2022). Asymmetric, time and frequency-based spillover transmission in financial and commodity markets. The Journal of Economic Asymmetries, 25, e00241. https://doi.org/10.1016/j.jeca.2022.e00241
   Google Scholar
• Suleman, M. T., McIver, R., & Kang, S. H. (2021). Asymmetric volatility connectedness between Islamic stock and commodity markets. Global Finance Journal, 49, 100653. https://doi.org/10.1016/j.gfj.2021.100653
   Web of Science ®Google Scholar
• Taera, E. G., Setiawan, B., Saleem, A., Wahyuni, A. S., Chang, D. K., Nathan, R. J., & Lakner, Z. (2023). The impact of Covid-19 and Russia–Ukraine war on the financial asset volatility: Evidence from equity, cryptocurrency and alternative assets. Journal of Open Innovation: Technology, Market, and Complexity, 9(3), 100116. https://doi.org/10.1016/j.joitmc.2023.100116
   Google Scholar
• Xiao, Y., Dong, Z., Huang, S., Li, Y., Wang, J., & Zhuang, X. (2023). Time-frequency volatility spillovers among major international financial markets: Perspective from global extreme events. Discrete Dynamics in Nature and Society, 2023, 1–20. https://doi.org/10.1155/2023/7200306
   Web of Science ®Google Scholar
• Zahid, R. A., Ali, Q., Saleem, A., & Sági, J. (2023). Impact of geographical, meteorological, demographic, and economic indicators on the trend of COVID-19: A global evidence from 202 affected countries. Heliyon, 9(9), e19365. https://doi.org/10.1016/j.heliyon.2023.e19365
   PubMed Web of Science ®Google Scholar
• Zhang, W., Zhuang, X., & Wu, D. (2020). Spatial connectedness of volatility spillovers in G20 stock markets: Based on block models analysis. Finance Research Letters, 34, 101274. https://doi.org/10.1016/j.frl.2019.08.022
   Web of Science ®Google Scholar