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FINANCIAL ECONOMICS

Market volatility and spillover across 24 sectors in Vietnam

, , , & ORCID Icon
Article: 2122188 | Received 24 Mar 2022, Accepted 04 Sep 2022, Published online: 15 Sep 2022

References

  • Akinlaso, M. I., Robbana, A., & Mohamed, N. (2021). Volatility transmission within financial markets during the COVID-19 pandemic: Are faith-based investors well off in tunisia? Journal of Islamic Accounting and Business Research, 13(1), 98–20. https://doi.org/10.1108/jiabr-12-2020-0388
  • Aslam, F., Ferreira, P., Mughal, K. S., & Bashir, B. (2021). Intraday volatility spillovers among European financial markets during COVID-19. International Journal of Financial Studies, 9(1), 5. https://doi.org/10.3390/ijfs9010005
  • Atukeren, E., Çevik, E. S., & Korkmaz, T. (2021). Volatility spillovers between WTI and Brent spot crude oil prices: An analysis of Granger causality in variance patterns over time. Research in International Business and Finance, 56, 101385. https://doi.org/10.1016/j.ribaf.2021.101385
  • Bissoondoyal-Bheenick, E., Do, H., Hu, X., & Zhong, A. (2021). Learning from SARS: Return and volatility connectedness in COVID-19. Finance Research Letters, 41, 101796. https://doi.org/10.1016/j.frl.2020.101796
  • Boubaker, H., & Raza, S. A. (2017). A wavelet analysis of mean and volatility spillovers between oil and BRICS stock markets. Energy Economics, 64, 105–117. https://doi.org/10.1016/j.eneco.2017.01.026
  • Bouri, E., Gabauer, D., Gupta, R., & Tiwari, A. K. (2021). Volatility connectedness of major cryptocurrencies: The role of investor happiness. Journal of Behavioral and Experimental Finance, 30, 100463. https://doi.org/10.1016/j.jbef.2021.100463
  • Cheung, Y. W., & Ng, L. K. (1996). A causality-in-variance test and its application to financial market prices. Journal of Econometrics, 72(1–2), 33–48. https://doi.org/10.1016/0304-4076(94)01714-X
  • Choi, S. Y. (2022). Dynamic volatility spillovers between industries in the US stock market: Evidence from the COVID-19 pandemic and Black Monday. The North American Journal of Economics and Finance, 59, 101614. https://doi.org/10.1016/j.najef.2021.101614
  • 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
  • Diebold, F. X., & Yılmaz, K. (2014). On the network topology of variance decompositions: Measuring the connectedness of financial firms. Journal of Econometrics, 182(1), 119–134. https://doi.org/10.1016/j.jeconom.2014.04.012
  • Diebold, F. X., & Yilmaz, K. (2015). Financial and macroeconomic connectedness: A network approach to measurement and monitoring. Oxford University Press.
  • Engle, R. F., Ito, T., & Lin, W.-L. (1990). Meteor showers or heat waves? Heteroskedastic intra-daily volatility in the foreign exchange market. Econometrica, 58(3), 525–542. https://doi.org/10.2307/2938189
  • Eun, C. S., & Shim, S. (1989). International transmission of stock market movements. The Journal of Financial and Quantitative Analysis, 24(2), 241. https://doi.org/10.2307/2330774
  • 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.
  • French, K. R. & Poterba, J. M. (1991). Investor diversification and international equity markets. The American Economic Review, 81(2), 222–226. https://doi.org/10.3386/w3609.
  • Gabauer, D. (2020). Volatility impulse response analysis for DCC‐GARCH models: The role of volatility transmission mechanisms. Journal of Forecasting, 39(5), 788–796. https://doi.org/10.1002/for.2648
  • 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, 171, 63–71. https://doi.org/10.1016/j.econlet.2018.07.007
  • Ghosh, I., & Chaudhuri, T. D. (2019). A wavelet approach towards examining dynamic association, causality and spillovers. International Journal of Data and Network Science, 3(1), 23–36. https://doi.org/10.5267/j.ijdns.2018.11.002
  • Goetzmann, W. N., Li, L., & Rouwenhorst, K. G. (2005). Long-term global market correlations. The Journal of Business, 78(1), 1–38. https://doi.org/10.1086/426518
  • Hamao, Y., Masulis, R. W., & Ng, V. (1990). Correlations in price changes and volatility across international stock markets. Review of Financial Studies, 3(2), 281–307. https://doi.org/10.1093/rfs/3.2.281
  • Hasan, M., Mahi, M., Sarker, T., & Amin, M. (2021). Spillovers of the COVID-19 pandemic: Impact on global economic activity, the stock market, and the energy sector. Journal of Risk and Financial Management, 14(5), 200. https://doi.org/10.3390/jrfm14050200
  • Hassan, S. A., & Malik, F. (2007). Multivariate GARCH modelling of sector volatility transmission. The Quarterly Review of Economics and Finance, 47(3), 470–480. https://doi.org/10.1016/j.qref.2006.05.006
  • Hoang, L., & Baur, D. (2021). Spillovers and Asset allocation. Journal of Risk and Financial Management, 14(8), 345. https://doi.org/10.3390/jrfm14080345
  • Hong, Y. (2001). A test for volatility spillover with application to exchange rates. Journal of Econometrics, 103(1–2), 183–224. https://doi.org/10.1016/S0304-4076(01)00043-4
  • Hong, Y., Liu, Y., & Wang, S. (2009). Granger causality in risk and detection of extreme risk spillover between financial markets. Journal of Econometrics, 150(2), 271–287. https://doi.org/10.1016/j.jeconom.2008.12.013
  • King, M. A., & Wadhwani, S. (1990). Transmission of volatility between stock markets. The Review of Financial Studies, 3(1), 5–33. https://doi.org/10.1093/rfs/3.1.5
  • Laborda, R., & Olmo, J. (2021). Volatility spillover between economic sectors in financial crisis prediction: Evidence spanning the great financial crisis and COVID-19 pandemic. Research in International Business and Finance, 57, 101402. https://doi.org/10.1016/j.ribaf.2021.101402
  • Ljung, G. M., & Box, G. E. P. (1978). On a measure of lack of fit in time series models. Biometrika, 65(2), 297–303. https://doi.org/10.1093/biomet/65.2.297
  • Mensi, W., Yousaf, I., Vo, X. V., & Kang, S. H. (2022). Asymmetric spillover and network connectedness between gold, BRENT oil and EU subsector markets. Journal of International Financial Markets, Institutions and Money, 76, 101487. https://doi.org/10.1016/j.intfin.2021.101487
  • Pukthuanthong, K., & Roll, R. (2014). Internationally correlated jumps. The Review of Asset Pricing Studies, 5(1), 92–111. https://doi.org/10.1093/rapstu/rau009
  • Shahzad, S. J. H., Naeem, M. A., Peng, Z., & Bouri, E. (2021). Asymmetric volatility spillover among Chinese sectors during COVID-19. International Review of Financial Analysis, 75, 101754. https://doi.org/10.1016/j.irfa.2021.101754
  • Solnik, B., & Watewai, T. (2016). International correlation asymmetries: Frequent-but-small and infrequent-but-large equity returns. The Review of Asset Pricing Studies, 6(2), 221–260. https://doi.org/10.1093/rapstu/raw005
  • Su, X., & Liu, Z. (2021). Sector volatility spillover and economic policy uncertainty: Evidence from China’s stock market. Mathematics, 9(12), 1411. https://doi.org/10.3390/math9121411
  • The State Securities Commission of Vietnam. 2021. Vietnam’s stock market performance, accessed on 25 September 2021.
  • Umar, Z., Yousaf, I., & Aharon, D. Y. (2021). The relationship between yield curve components and equity sectorial indices: Evidence from China. Pacific-Basin Finance Journal, 68, 101591. https://doi.org/10.1016/j.pacfin.2021.101591
  • Vo, X. V. (2015). Foreign ownership and stock return volatility – Evidence from Vietnam. Journal of Multinational Financial Management, 30, 101–109. https://doi.org/10.1016/j.mulfin.2015.03.004
  • Vo, X. V., Chu, T. K. H., & McMillan, D. (2019). Do foreign shareholders improve corporate earnings quality in emerging markets? Evidence from Vietnam. Cogent Economics & Finance, 7(1), 1698940. https://doi.org/10.1080/23322039.2019.1698940
  • Yarovaya, L., Brzeszczyński, J., & Lau, C. K. M. (2016). Intra- and inter-regional return and volatility spillovers across emerging and developed markets: Evidence from stock indices and stock index futures. International Review of Financial Analysis, 43, 96–114. https://doi.org/10.1016/j.irfa.2015.09.004
  • Yousaf, I., & Ali, S. (2020). Discovering interlinkages between major cryptocurrencies using high-frequency data: New evidence from COVID-19 pandemic. Financial Innovation, 6(1), 1–18. https://doi.org/10.1186/s40854-020-00213-1
  • Yousaf, I., Ali, S., & Wong, W. K. (2020a). An empirical analysis of the volatility spillover effect between world-leading and the Asian stock markets: Implications for portfolio management. Journal of Risk and Financial Management, 13(10), 226. https://doi.org/10.3390/jrfm13100226
  • Yousaf, I., Ali, S., & Wong, W. K. (2020b). Return and volatility transmission between world-leading and latin American stock markets: Portfolio implications. Journal of Risk and Financial Management, 13(7), 148. https://doi.org/10.3390/jrfm13070148
  • Yousaf, I., Ali, S., & Wong, W. K. (2020c). Return and volatility transmissions between metals and stocks: A study of the emerging asian markets by using the VAR-AGARCH approach. Asia-Pacific Journal of Operational Research, 39(4), 2040020. https://doi.org/10.1016/j.najef.2020.101248
  • Yousaf, I., & Hassan, A. (2019). Linkages between crude oil and emerging Asian stock markets: New evidence from the Chinese stock market crash. Finance Research Letters, 31, 207–217. https://doi.org/10.1016/j.frl.2019.08.023
  • Yousaf, I., Nekhili, R., & Gubareva, M. (2022). Linkages between DeFi assets and conventional currencies: Evidence from the COVID-19 pandemic. International Review of Financial Analysis, 81, 102082. https://doi.org/10.1016/j.irfa.2022.102082
  • Yousaf, I., & Yarovaya, L. (2022a). Spillovers between the Islamic gold-backed cryptocurrencies and equity markets during the COVID-19: A sectorial analysis. Pacific-Basin Finance Journal, 71, 101705. https://doi.org/10.1016/j.pacfin.2021.101705
  • Yousaf, I., & Yarovaya, L. (2022b). Static and dynamic connectedness between NFTs, Defi and other assets: Portfolio implication. Global Finance Journal, 53, 100719. https://doi.org/10.1016/j.gfj.2022.100719
  • Zhang, P., Sha, Y., & Xu, Y. (2021). Stock market volatility spillovers in G7 and BRIC. Emerging Markets Finance and Trade, 57(7), 2107–2119. https://doi.org/10.1080/1540496X.2021.1908256
  • Zhang, W., Zhuang, X., Wang, J., & Lu, Y. (2020). Connectedness and systemic risk spillovers analysis of Chinese sectors based on tail risk network. The North American Journal of Economics and Finance, 54, 101248. https://doi.org/10.1016/j.najef.2020.101248
  • Zivot, E. (2009). Practical issues in the analysis of univariate GARCH models. In T. Mikosch, J.-P. Kreiß, R. A. Davis, & T. G. Andersen (Eds.), Handbook of financial time series (pp. 113–155). Springer.