Does COVID-19 open a Pandora's box of changing the connectedness in energy commodities?

Research in International Business and Finance - Tập 56 - Trang 101360 - 2021
Boqiang Lin1, Tong Su1
1School of Management, China Institute for Studies in Energy Policy, Collaborative Innovation Center for Energy Economics and Energy Policy, Xiamen University, Xiamen 361005, China

Tài liệu tham khảo

Akca, 2016, The effect of 2008 crisis on the volatility spillovers among six major markets, Int. Rev. Financ., 16, 169, 10.1111/irfi.12071 Albulescu, 2020 Alter, 2014, The dynamics of spillover effects during the European sovereign debt turmoil, J. Bank. Financ., 42, 134, 10.1016/j.jbankfin.2014.01.030 Antonakakis, 2017 Antonakakis, 2018, Dynamic connectedness of uncertainty across developed economies: a time-varying approach, Econ. Lett., 166, 63, 10.1016/j.econlet.2018.02.011 Antonakakis, 2019, International monetary policy spillovers: evidence from a time-varying parameter vector autoregression, Int. Rev. Financ. Anal., 65, 10.1016/j.irfa.2019.101382 Ashraf, 2020, Stock markets’ reaction to COVID-19: cases or fatalities?, Res. Int. Bus. Financ., 101249, 10.1016/j.ribaf.2020.101249 Badshah, 2019, The effect of economic policy uncertainty on stock-commodity correlations and its implications on optimal hedging, Energy Econ., 84, 10.1016/j.eneco.2019.104553 Baker, 2016, Measuring economic policy uncertainty, Q. J. Econ., 131, 1593, 10.1093/qje/qjw024 Baker, 2020 Baker, 2020 Balli, 2017, Cross-country determinants of economic policy uncertainty spillovers, Econ. Lett., 156, 179, 10.1016/j.econlet.2017.05.016 Baron, 1986, The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations, J. Pers. Soc. Psychol., 51, 1173, 10.1037/0022-3514.51.6.1173 Baruník, 2019, Total, asymmetric and frequency connectedness between oil and forex markets, Energy J., 40, 10.5547/01956574.40.SI2.jbar Becker, 2009, The jump component of S&P 500 volatility and the VIX index, J. Bank. Financ., 33, 1033, 10.1016/j.jbankfin.2008.10.015 Cheuathonghua, 2019, Extreme spillovers of VIX fear index to international equity markets, Financ. Mark. Portf. Manag., 33, 1, 10.1007/s11408-018-0323-6 Coibion, 2020 Conlon, 2020, Are Cryptocurrencies a Safe Haven for Equity Markets? An International Perspective from the COVID-19 Pandemic, Res. Int. Bus. Financ., 101248, 10.1016/j.ribaf.2020.101248 Devpura, 2020, Hourly oil price volatility: the role of COVID-19, Energy Res. Lett., 1, 13683, 10.46557/001c.13683 Diebold, 2009, Measuring financial asset return and volatility spillovers, with application to global equity markets, Econ. J., 119, 158, 10.1111/j.1468-0297.2008.02208.x Diebold, 2012, Better to give than to receive: predictive directional measurement of volatility spillovers, Int. J. Forecast., 28, 57, 10.1016/j.ijforecast.2011.02.006 Diebold, 2014, On the network topology of variance decompositions: measuring the connectedness of financial firms, J. Econom., 182, 119, 10.1016/j.jeconom.2014.04.012 El Ghini, 2017, Return and volatility spillovers in the Moroccan stock market during the financial crisis, Empir. Econ., 52, 1481, 10.1007/s00181-016-1110-8 Gabauer, 2020, Spillovers across macroeconomic, financial and real estate uncertainties: a time-varying approach, Struct. Chang. Econ. Dyn., 52, 167, 10.1016/j.strueco.2019.09.009 Gharib, 2020, The bubble contagion effect of COVID-19 outbreak: evidence from crude oil and gold markets, Financ. Res. Lett., 101703 Goodell, 2020, COVID-19 and finance: agendas for future research, Financ. Res. Lett., 101512, 10.1016/j.frl.2020.101512 He, 2017, RMB exchange rate and China’s economic growth: an empirical study of state space model and mediation effect testing, J. Beijing Univ. Aeronaut. Astronautics Social Sci. Ed., 30, 72 Huang, 2020, COVID-19: structural changes in the relationship between investor sentiment and crude oil futures price, Energy Res. Lett., 1, 13685, 10.46557/001c.13685 Ji, 2019, Dynamic connectedness and integration in cryptocurrency markets, Int. Rev. Financ. Anal., 63, 257, 10.1016/j.irfa.2018.12.002 Ji, 2019, The information spillover between carbon price and power sector returns: evidence from the major European electricity companies, J. Clean. Prod., 208, 1178, 10.1016/j.jclepro.2018.10.167 Ji, 2020, Searching for safe-haven assets during the COVID-19 pandemic, Int. Rev. Financ. Anal., 101526, 10.1016/j.irfa.2020.101526 Kang, 2017, Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets, Energy Econ., 19, 10.1016/j.eneco.2016.12.011 Kang, 2019, Dynamic spillovers and connectedness between stock, commodities, bonds, and VIX markets, Pacific-basin Financ. J., 58 Koop, 1996, Impulse response analysis in nonlinear multivariate models, J. Econom., 74, 119, 10.1016/0304-4076(95)01753-4 Laporta, 2018, Selection of value at risk models for energy commodities, Energy Econ., 74, 628, 10.1016/j.eneco.2018.07.009 Lin, 2021, Oil prices and economic policy uncertainty: Evidence from global, oil importers, and exporters’ perspective, Res. Int. Bus. Finance, 56, 10.1016/j.ribaf.2020.101357 Lin, 2015, The spillover effects across natural gas and oil markets: based on the VEC–MGARCH framework, Appl. Energy, 155, 229, 10.1016/j.apenergy.2015.05.123 Lin, 2020, Does oil price have similar effects on the exchange rates of BRICS?, Int. Rev. Financial Anal., 69, 10.1016/j.irfa.2020.101461 Lin, 2020, The linkages between oil market uncertainty and Islamic stock markets: Evidence from quantile-on-quantile approach, Energy Econ., 88, 10.1016/j.eneco.2020.104759 Liu, 2020, Analyzing time-varying volatility spillovers between the crude oil markets using a new method, Energy Econ., 87, 10.1016/j.eneco.2020.104711 Mazur, 2020, COVID-19 and the March 2020 stock market crash. Evidence from S&P1500, Financ. Res. Lett., 101690 McIver, 2020, Financial crises and the dynamics of the spillovers between the US and BRICS stock markets, Res. Int. Bus. Financ., 101276, 10.1016/j.ribaf.2020.101276 McKee, 2020, If the world fails to protect the economy, COVID-19 will damage health not just now but also in the future, Nat. Med., 26, 640, 10.1038/s41591-020-0863-y Mensi, 2020, Impact of COVID-19 outbreak on asymmetric multifractality of gold and oil prices, Resour. Policy, 69, 10.1016/j.resourpol.2020.101829 Mzoughi, 2020 Nicola, 2020, The socio-economic implications of the coronavirus and COVID-19 pandemic: a review, Int. J. Surg., 10.1016/j.ijsu.2020.04.018 Papadamou, 2020 Pesaran, 1998, Generalized impulse response analysis in linear multivariate models, Econ. Lett., 58, 17, 10.1016/S0165-1765(97)00214-0 Prasad, 2018, Time varying volatility indices and their determinants: evidence from developed and emerging stock markets, Int. Rev. Financ. Anal., 60, 115, 10.1016/j.irfa.2018.09.006 Restrepo, 2018, Financial risk network architecture of energy firms, Appl. Energy, 215, 630, 10.1016/j.apenergy.2018.02.060 Rothan, 2020, The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak, J. Autoimmun., 102433, 10.1016/j.jaut.2020.102433 Salisu, 2020, The COVID-19 global fear index and the predictability of commodity price returns, J. Behav. Exp. Finance, 27, 10.1016/j.jbef.2020.100383 Sharif, 2020, COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: fresh evidence from the wavelet-based approach, Int. Rev. Financ. Anal., 101496, 10.1016/j.irfa.2020.101496 Silvennoinen, 2013, Financialization, crisis and commodity correlation dynamics, J. Int. Financ. Mark. Inst. Money, 24, 42, 10.1016/j.intfin.2012.11.007 Srakar, 2018 Tiwari, 2018, Volatility spillovers across global asset classes: evidence from time and frequency domains, Q. Rev. Econ. Financ., 70, 194, 10.1016/j.qref.2018.05.001 Tiwari, 2020, Time-frequency causality and connectedness between international prices of energy, food, industry, agriculture and metals, Energy Econ., 85, 10.1016/j.eneco.2019.104529 Vacha, 2012, Co-movement of energy commodities revisited: evidence from wavelet coherence analysis, Energy Econ., 34, 241, 10.1016/j.eneco.2011.10.007 Wang, 2012, Long memory in energy futures markets: further evidence, Resour. Policy, 37, 261, 10.1016/j.resourpol.2012.05.002 Wang, 2020, Asymmetric volatility spillovers between economic policy uncertainty and stock markets: evidence from China, Res. Int. Bus. Financ., 101233, 10.1016/j.ribaf.2020.101233 Xia, 2019, Asymmetric and extreme influence of energy price changes on renewable energy stock performance, J. Clean. Prod., 241, 10.1016/j.jclepro.2019.118338 Yilmaz, 2010, Return and volatility spillovers among the East Asian equity markets, J. Asian Econ., 21, 304, 10.1016/j.asieco.2009.09.001 Zeng, 2020, Fancy Bitcoin and conventional financial assets: measuring market integration based on connectedness networks, Econ. Model., 10.1016/j.econmod.2020.05.003 Zhang, 2017, Oil shocks and stock markets revisited: measuring connectedness from a global perspective, Energy Econ., 62, 323, 10.1016/j.eneco.2017.01.009 Zhang, 2018, Global financial crisis and rising connectedness in the international commodity markets, Int. Rev. Financ. Anal. Zhang, 2020, Financial markets under the global pandemic of COVID-19, Financ. Res. Lett., 101528, 10.1016/j.frl.2020.101528 Zhang, 2020, Spatial spillover effects and risk contagion around G20 stock markets based on volatility network, North Am. J. Econ. Financ., 51, 10.1016/j.najef.2019.101064