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Financial Economics

Volatility spillover among the sectors of emerging and developed markets: a hedging perspective

ORCID Icon & ORCID Icon
Article: 2316048 | Received 22 Sep 2023, Accepted 03 Feb 2024, Published online: 20 Feb 2024

References

  • Abakah, E. J. A., Tiwari, A. K., Adekoya, O. B., & Oteng-Abayie, E. F. (2023). An analysis of the time-varying causality and dynamic correlation between green bonds and US gas prices. Technological Forecasting and Social Change, 186, 122134. https://doi.org/10.1016/j.techfore.2022.122134
  • Agrawal, G. (2016). Global financial markets integration: A comparative study between developed and emerging economies. In S. Raghunath & Elizabeth L. Rose (Eds.), International business strategy (pp. 277–299). Palgrave Macmillan. https://doi.org/10.1057/978-1-137-54468-1_13/TABLES/6
  • Ahmad, W., Hernandez, J. A., Saini, S., & Mishra, R. K. (2021). The US equity sectors, implied volatilities, and COVID-19: What does the spillover analysis reveal? Resources Policy, 72(April), 102102. https://doi.org/10.1016/j.resourpol.2021.102102
  • Antoniou, A., Pescetto, G. M., & Stevens, I. (2007). Market-wide and sectoral integration Evidence from the UK, USA and Europe. Managerial Finance, 33(3), 173–194. https://doi.org/10.1108/03074350710718266
  • Ashri, D., Sahoo, B. P., Gulati, A., & Haq, I. U. (2021). Repercussions of COVID-19 on the Indian stock market - A sectoral analysis. Linguistics and Culture Review, 5(S1), 1495–1509. https://doi.org/10.21511/imfi.18(3).2021.28
  • Balli, F., Balli, H. O., & Hong, R. (2016). Spillover effects on the sectoral returns for australian and New Zealand equity markets. Journal of Economics and Finance, 40(3), 568–589. https://doi.org/10.1007/s12197-015-9326-6
  • Balli, H. O., Balli, F., & Louis, R. J. (2013). Time-varying spillover effects on sectoral equity returns. International Review of Finance, 13(1), 67–91. https://doi.org/10.1111/j.1468-2443.2011.01143.x
  • Balli, F., Balli, H. O., & Luu, M. N. (2014). Diversification across ASEAN-wide sectoral and national equity returns. Economic Modelling, 41, 398–407. https://doi.org/10.1016/j.econmod.2014.05.035
  • Basher, S. A., & Sadorsky, P. (2016). Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH. Energy Economics, 54, 235–247. https://doi.org/10.1016/j.eneco.2015.11.022
  • Baumöhl, E., Kočenda, E., Lyócsa, Š., & Výrost, T. (2018). Networks of volatility spillovers among stock markets. Physica A: Statistical Mechanics and Its Applications, 490, 1555–1574. https://doi.org/10.1016/j.physa.2017.08.123
  • Belaid, F., Ben Amar, A., Goutte, S., & Guesmi, K. (2023). Emerging and advanced economies markets behaviour during the COVID-19 crisis era. International Journal of Finance & Economics, 28(2), 1563–1581. https://doi.org/10.1002/ijfe.2494
  • Belasri, Y., & Ellaia, R. (2017). International journal of economics and financial issues estimation of volatility and correlation with multivariate generalized autoregressive conditional heteroskedasticity models: An application to Moroccan stock markets. International Journal of Economics and Financial Issues, 7(2), 384–396.
  • Billah, M., Balli, F., & Balli, H. O. (2022). Spillovers on sectoral sukuk returns: Evidence from country level analysis. Applied Economics, 54(38), 4402–4432. https://doi.org/10.1080/00036846.2022.2030049
  • Bissoondoyal-Bheenick, E., Brooks, R., Chi, W., & Do, H. X. (2017). Volatility spillover between the US, Chinese and Australian stock markets., 43(2), 263–285. https://doi.org/10.1177/0312896217717305 https://doi.org/10.1177/0312896217717305
  • Bissoondoyal-Bheenick, E., Brooks, R., Chi, W., & Do, H. X. (2018). Volatility spillover between the US, Chinese and Australian stock markets. Australian Journal of Management, 43(2), 263–285. https://doi.org/10.1177/0312896217717305
  • Bloomberg. (2023). October) China’s growth beats forecasts as consumer spending improves. Bloomberg. https://www.bloomberg.com/news/articles/2023-10-18/china-s-growth-beats-forecasts-as-consumer-spending-strengthens#xj4y7vzkg
  • Ch Das, K. (2022). Economic interdependence since COVID-19: China and South Asia. China Report, 58(2), 131–151. https://doi.org/10.1177/00094455211039106
  • Choi, K. H., McIver, R. P., Ferraro, S., Xu, L., & Kang, S. H. (2021). Dynamic volatility spillover and network connectedness across ASX sector markets. Journal of Economics and Finance, 45(4), 677–691. https://doi.org/10.1007/s12197-021-09544-w
  • Choi, S. Y. (2021). Analysis of stock market efficiency during crisis periods in the US stock market: Differences between the global financial crisis and COVID-19 pandemic. Physica A: Statistical Mechanics and Its Applications, 574, 125988. https://doi.org/10.1016/j.physa.2021.125988
  • Clark, D. (2023, August). The UK economy - Statistics & Facts. Statista. https://www.statista.com/topics/6500/the-british-economy/#topicOverview
  • Costa, A., Matos, P., & da Silva, C. (2022). Sectoral connectedness: New evidence from US stock market during COVID-19 pandemics. Finance Research Letters, 45(May), 102124. https://doi.org/10.1016/j.frl.2021.102124
  • Curto, J. D., & Serrasqueiro, P. (2022). The impact of COVID-19 on S&P500 sector indices and FATANG stocks volatility: An expanded APARCH model. Finance Research Letters, 46(PA), 102247. https://doi.org/10.1016/j.frl.2021.102247
  • Dhal, S. (2009). Global crisis and the integration of India’s stock market. Journal of Economic Integration, 24(4), 778–805. https://doi.org/10.11130/jei.2009.24.4.778
  • Dr. Kumar, A. (2023). April). Why success at automobile manufacturing typifies multi-regional progress in India. Department of Economic Studies and Policy, Central University of South Bihar. https://timesofindia.indiatimes.com/blogs/voices/why-success-at-automobile-manufacturing-typifies-multi-regional-progress-in-india/?source=app&frmapp=yes
  • Engle, R. F., & Kroner, K. (1995). Multivariate simultaneous generalized arch. Econometric Theory, 11(1), 122–150. https://doi.org/10.1017/S0266466600009063
  • Fernandes, L. H. S., de Araujo, F. H. A., & Tabak, B. M. (2021). Insights from the (in)efficiency of Chinese sectoral indices during COVID-19. Physica A, 578, 126063. https://doi.org/10.1016/j.physa.2021.126063
  • Gamba-Santamaria, S., Gomez-Gonzalez, J. E., Hurtado-Guarin, J. L., & Melo-Velandia, L. F. (2019). Volatility spillovers among global stock markets: Measuring total and directional effects. Empirical Economics, 56(5), 1581–1599. https://doi.org/10.1007/S00181-017-1406-3/FIGURES/6
  • Gross, S. (2018). May 22). Geopolitical implications of U.S. oil and gas in the global market. Brookings. https://www.brookings.edu/articles/geopolitical-implications-of-u-s-oil-and-gas-in-the-global-market/
  • Gyamerah, S. A., Owusu, B. E., & Akwaa-Sekyi, E. K. (2022). Modelling the mean and volatility spillover between green bond market and renewable energy stock market. Green Finance, 4(3), 310–328. https://doi.org/10.3934/GF.2022015
  • Habiba, U. E., Peilong, S., Zhang, W., & Hamid, K. (2020). International stock markets Integration and dynamics of volatility spillover between the USA and South Asian markets: evidence from Global financial crisis. Journal of Asia Business Studies, 14(5), 779–794. https://doi.org/10.1108/JABS-03-2019-0071/FULL/XML
  • Hachicha, N., Ghorbel, A., Feki, M. C., Tahi, S., & Dammak, F. A. (2022). Hedging Dow Jones Islamic and conventional emerging market indices with CDS, oil, gold and the VSTOXX: A comparison between DCC, ADCC and GO-GARCH models. Borsa Istanbul Review, 22(2), 209–225. https://doi.org/10.1016/j.bir.2021.04.002
  • Hamdi, B., Aloui, M., Alqahtani, F., & Tiwari, A. (2019). Relationship between the oil price volatility and sectoral stock markets in oil-exporting economies: Evidence from wavelet nonlinear denoised based quantile and Granger-causality analysis. Energy Economics, 80, 536–552. https://doi.org/10.1016/j.eneco.2018.12.021
  • Hammoudeh, S. M., Yuan, Y., & McAleer, M. (2009). Shock and volatility spillovers among equity sectors of the Gulf Arab stock markets. The Quarterly Review of Economics and Finance, 49(3), 829–842. https://doi.org/10.1016/j.qref.2009.04.004
  • Hedi Arouri, M. E., & Khuong Nguyen, D. (2010). Oil prices, stock markets and portfolio investment: Evidence from sector analysis in Europe over the last decade. Energy Policy, 38(8), 4528–4539. https://doi.org/10.1016/j.enpol.2010.04.007
  • Isha Agarwal, Grace Weishi Gu, & Eswar S. Prasad (2019). China’s impact on global financial markets. (MA 02138; NBER Working paper series). https://www.nber.org/system/files/working_papers/w26311/w26311.pdf
  • Jin, J., Han, L., Wu, L., & Zeng, H. (2020). The hedging effectiveness of global sectors in emerging and developed stock markets. International Review of Economics & Finance, 66, 92–117. https://doi.org/10.1016/j.iref.2019.11.001
  • Jin, Z., & Guo, K. (2021). The dynamic relationship between stock market and macroeconomy at sectoral level: Evidence from Chinese and US stock market. Complexity, 2021, 1–16. https://doi.org/10.1155/2021/6645570
  • Kaur, G., Bordoloi, S., & Rajesh, R. (2012). An Empirical Investigation on the Inter-Sectoral Linkages in India An Empirical Investigation of the Inter-Sectoral Linkages in India Vols. 30. No, 1 (Issue 40419).
  • Kouki, I., Harrathi, N., & Haque, M. (2011). Volatility spillover among sector index of international stock markets. Institutlouisbachelier.Org, 22(22), 1–43. http://www.institutlouisbachelier.org/risk2011/papers/Session_11_Imen_Kouki.pdf
  • Kumar, D. (2014). Return and volatility transmission between gold and stock sectors: Application of portfolio management and hedging effectiveness. IIMB Management Review, 26(1), 5–16. https://doi.org/10.1016/j.iimb.2013.12.002
  • Kyriazis, Ν. A. (2021). Investigating the nexus between European major and sectoral stock indices, gold and oil during the COVID-19 pandemic. SN Business & Economics, 1(4), 57. https://doi.org/10.1007/s43546-021-00060-x
  • Li, Y., & Giles, D. E. (2015). Modelling volatility spillover effects between developed stock markets and Asian emerging stock markets. International Journal of Finance & Economics, 20(2), 155–177. https://doi.org/10.1002/ijfe.1506
  • Liu, X., Liu, Y., & Yan, Y. (2020). China macroeconomic report 2020: China’s macroeconomy is on the rebound under the impact of COVID-19. 8(4), 395–435. https://doi.org/10.1080/20954816.2020.1844609
  • Longin, F., & Solnik, B. (2001). Extreme correlation of international equity markets. The Journal of Finance, 56(2), 649–676. https://doi.org/10.1111/0022-1082.00340
  • Malik, M. I., & Rashid, A. (2017). Return and volatility spillover between sectoral stock and oil price: evidence from Pakistan stock exchange. Annals of Financial Economics, 12(02), 1750007. https://doi.org/10.1142/S2010495217500075
  • Maxfield, S., & Magaldi De Sousa, M. (2015). The global financial crisis and banking sector resilience. Journal of Banking Regulation, 16(4), 265–288. https://doi.org/10.1057/JBR.2014.12/METRICS
  • McCullough, K., Murray, M., & Strydom, B. (2018). Volatility spillover between the FTSE/JSE top 40 index and index futures: A BEKK-GARCH and DCC-GARCH approach. Studies in Economics and Econometrics, 42(1), 63–86. https://doi.org/10.1080/10800379.2018.12097327
  • Mensi, W., Beljid, M., Boubaker, A., & Managi, S. (2013). Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold. Economic Modelling, 32(1), 15–22. https://doi.org/10.1016/j.econmod.2013.01.023
  • Mensi, W., Hammoudeh, S., Sensoy, A., & Yoon, S. M. (2017). Analysing dynamic linkages and hedging strategies between Islamic and conventional sector equity indexes. Applied Economics, 49(25), 2456–2479. https://doi.org/10.1080/00036846.2016.1240349
  • Mensi, W., Nekhili, R., Vo, X. V., & Kang, S. H. (2021). Good and bad high-frequency volatility spillovers among developed and emerging stock markets. International Journal of Emerging Markets, 18(9), 2107–2132. https://doi.org/10.1108/IJOEM-01-2021-0074/FULL/PDF
  • Ministry of Commerce & Industry. (2023). Production Linked Incentive Schemes for 14 key sectors aim to enhance India’s manufacturing capabilities and exports. https://pib.gov.in/PressReleasePage.aspx?PRID=1945155
  • Musunuru, N. (2014). Modeling price volatility linkages between corn and wheat: A multivariate GARCH estimation. International Advances in Economic Research, 20(3), 269–280. https://doi.org/10.1007/S11294-014-9477-9/FIGURES/4
  • Ng, S. L., Chin, W. C., & Chong, L. L. (2017). Multivariate market risk evaluation between Malaysian Islamic stock index and sectoral indices. Borsa Istanbul Review, 17(1), 49–61. https://doi.org/10.1016/j.bir.2016.09.002
  • Nidhiprabha, B. (2011). The global financial crisis and resilience of the Thai banking sector. Asian Development Review, 28(02), 110–132. https://doi.org/10.2139/ssrn.2001152
  • Patra, T., & Poshakwale, S. S. (2008). Long-run and short-run relationship between the main stock indexes: Evidence from the Athens stock exchange. Applied Financial Economics, 18(17), 1401–1410. https://doi.org/10.1080/09603100701704314
  • Petry, J. (2020). Financialization with Chinese characteristics? Exchanges, control and capital markets in authoritarian capitalism., 49(2), 213–238. https://doi.org/10.1080/03085147.2020.1718913 https://doi.org/10.1080/03085147.2020.1718913
  • Purankar, S. A., & Singh, V. K. (2020). Dynamic volatility spillover connectedness of sectoral indices of commodity and equity: Evidence from India. International Journal of Management Practice, 13(2), 151–177. https://doi.org/10.1504/IJMP.2020.10027278
  • Raza, N., Ali, S., Shahzad, S. J. H., Rehman, M. U., & Salman, A. (2019). Can alternative hedging assets add value to Islamic-conventional portfolio mix: Evidence from MGARCH models. Resources Policy, 61, 210–230. https://doi.org/10.1016/j.resourpol.2019.02.013
  • Sahoo, S., & Kumar, S. (2022). Integration and volatility spillover among environmental, social and governance indices: Evidence from BRICS countries. Global Business Review, 23(6), 1280–1298. https://doi.org/10.1177/09721509221114699
  • Sahoo, S., & Kumar, S. (2023). Volatility spillover among the sustainable indices of emerging markets: Evidence from pre-COVID and COVID periods. Vision, 0(0). https://doi.org/10.1177/09722629231212107
  • Sarwar, S., Khalfaoui, R., Waheed, R., & Dastgerdi, H. G. (2019). Volatility spillovers and hedging: Evidence from Asian oil-importing countries. Resources Policy, 61, 479–488. https://doi.org/10.1016/j.resourpol.2018.04.010
  • 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
  • Thenmozhi, M., & Maurya, S. (2020). Crude oil volatility transmission across food commodity markets: A multivariate BEKK-GARCH approach. Journal of Emerging Market Finance, 20(2), 131–164. https://doi.org/10.1177/0972652720927623
  • Thomas Helbling, S. J. P., & Srinivasan, K. (2023). Asia poised to drive global economic growth, boosted by China’s reopening. International Monetary Fund. https://www.imf.org/en/Blogs/Articles/2023/05/01/asia-poised-to-drive-global-economic-growth-boosted-by-chinas-reopening
  • Tiwari, A. K., Pathak, R., DasGupta, R., & Sadorsky, P. (2021). Modelling dependence and systemic risk between oil prices and BSE sectoral indices using stochastic copula and CoVar, ΔCoVar and MES approaches. Applied Economics, 53(58), 6770–6788. https://doi.org/10.1080/00036846.2021.1949430
  • Trabelsi, N., Gozgor, G., Tiwari, A. K., & Hammoudeh, S. (2021). Effects of price of gold on Bombay stock exchange sectoral indices : New evidence for portfolio risk management. Research in International Business and Finance, 55 (August 2020) 101316. https://doi.org/10.1016/j.ribaf.2020.101316
  • Van Der Weide, R. (2002). GO-GARCH: A multivariate generalized orthogonal GARCH model. Journal of Applied Econometrics, 17(5), 549–564. https://doi.org/10.1002/jae.688
  • Vardar, G., Coşkun, Y., & Yelkenci, T. (2018). Shock transmission and volatility spillover in stock and commodity markets: Evidence from advanced and emerging markets. Eurasian Economic Review, 8(2), 231–288. https://doi.org/10.1007/S40822-018-0095-3/TABLES/23
  • Vince, O. (2023). Opinion: The ripple effect on the U.S. housing market from China’s real estate crisis. HousingWire. https://www.housingwire.com/articles/opinion-the-ripple-effect-on-the-u-s-housing-market-from-chinas-real-estate-crisis/
  • Wang, X., & Wang, Y. (2019). Volatility spillovers between crude oil and Chinese sectoral equity markets: Evidence from a frequency dynamics perspective. Energy Economics, 80, 995–1009. https://doi.org/10.1016/j.eneco.2019.02.019
  • Zghal, R., Ghorbel, A., & Triki, M. (2018). Dynamic model for hedging of the European stock sector with credit default swaps and EURO STOXX 50 volatility index futures. Borsa Istanbul Review, 18(4), 312–328. https://doi.org/10.1016/j.bir.2018.05.003
  • Zhang, D., Lei, L., Ji, Q., & Kutan, A. M. (2019). Economic policy uncertainty in the US and China and their impact on the global markets. Economic Modelling, 79, 47–56. https://doi.org/10.1016/j.econmod.2018.09.028
  • Zhu, P., Tang, Y., Wei, Y., Dai, Y., & Lu, T. (2021). Relationships and portfolios between oil and Chinese stock sectors: A study based on wavelet denoising-higher moments perspective. Energy, 217, 119416. https://doi.org/10.1016/j.energy.2020.119416