Adekoya, O. ; Oliyide, J. How COVID-19 drives connectedness among commodity and financial markets: evidence from TVP-VAR and causality-in-quantiles techniques. 2021 Res. Policy. 70 -
Akhtaruzzaman, M. ; Boubaker, S. ; Lucey, B.M. ; Sensoy, A. Is gold a hedge or a safe-haven asset in the COVID–19 crisis?. 2021 Econ. Model.. 102 -
Antonakakis, N. ; Chatziantoniou, I. ; Gabauer, D. Refined measures of dynamic connectedness based on time-varying parameter vector autoregressions. 2020 J. Risk Financ. Manag.. 13 -
Bai, J. ; Shi, S. Estimating High Dimensional Covariance Matrices and its Applications. 2011 :
Belhassine, O. Volatility spillovers and hedging effectiveness between the oil market and Eurozone sectors: a tale of two crises. 2020 Res. Int. Bus. Financ.. 53 -
Benlagha, N. ; Karim, S. ; Naeem, M. ; Lucey, B. ; Vigne, S. Risk connectedness between energy and stock markets: evidence from oil importing and exporting countries. 2022 Energy Econ.. 115 -
Bildirici, M.E. ; Salman, M. ; Ersin, Ö.Ö. Nonlinear contagion and causality nexus between oil, gold, VIX investor sentiment, exchange rate and stock market returns: the MS-GARCH copula causality method. 2022 Mathematics. 10 4035-
Billah, M. ; Karim, S. ; Naeem, M.A. ; Vigne, S.A. Return and volatility spillovers between energy and BRIC markets: evidence from quantile connectedness. 2022 Res. Int. Bus. Financ.. 62 -
Bollerslev, T. Generalized autoregressive conditional heteroskedasticity. 1986 J. Econ.. 31 307-327
Cappiello, L. ; Engle, R.F. ; Sheppard, K. Asymmetric dynamics in the correlations of global equity and bond returns. 2006 J. Financ. Econ.. 4 537-572
Çelik, İ. ; Sak, A. ; Höl, A. ; Vergili, G. The dynamic connectedness and hedging opportunities of implied and realized volatility: evidence from clean energy ETFs. 2022 N. Am. J. Econ. Financ.. 60 -
Chen, Y. ; Xu, J. ; Miao, J. Dynamic volatility contagion across the Baltic dry index, iron ore price and crude oil price under the COVID-19: a copula-VAR-BEKK-GARCH-X approach. 2023 Res. Policy. 81 -
Christoffersen, P. ; Pelletier, D. Backtesting value-at-risk: a duration-based approach. 2004 J. Financ. Econ.. 2 84-108
- Christoffersen, P.F. Evaluating interval forecasts. 1998 Int. Econ. Rev.. 39 841-862
Paper not yet in RePEc: Add citation now
- Deng, J. ; Guan, S. ; Zheng, H. ; Xing, X. ; Liu, C. Dynamic spillovers and asymmetric connectedness between fossil energy and green financial markets: evidence from China. 2022 Front. Energy Res.. 10 -
Paper not yet in RePEc: Add citation now
Dias, A. ; Embrechts, P. Modeling exchange rate dependence dynamics at different time horizons. 2010 J. Int. Money Financ.. 29 1687-1705
Diebold, F.X. ; Ylmaz, K. Better to give than to receive: predictive directional measurement of volatility spillovers. 2012 Int. J. Forecast.. 28 57-66
Diebold, F.X. ; Ylmaz, K. On the network topology of variance decompositions: measuring the connectedness of financial firms. 2014 J. Econ.. 182 119-134
Ding, Q. ; Huang, J. ; Zhang, H. Time-frequency spillovers among carbon, fossil energy and clean energy markets: the effects of attention to climate change. 2022 Int. Rev. Financ. Anal.. 83 -
Duan, X. ; Xao, Y. ; Ren, X. ; Taghizadeh-Hesary, F. ; Duan, K. Dynamic spillover between traditional energy markets and emerging green markets: implications for sustainable development. 2023 Res. Policy. 82 -
- Dutta, A. ; Bouri, E. ; Noor, M.H. Climate bond, stock, gold, and oil markets: dynamic correlations and hedging analyses during the COVID-19 outbreak. 2021 Res. Policy. 74 -
Paper not yet in RePEc: Add citation now
Elsayed, A.H. ; Nasreen, S. ; Tiwari, A.K. Time-varying co-movements between energy market and global financial markets: implication for portfolio diversification and hedging strategies. 2020 Energy Econ.. 90 -
Engle, R. Dynamic conditional correlation: a simple class of multivariate generalized autoregressive conditional heteroskedasticity models. 2002 J. Bus. Econ. Stat.. 20 339-350
- Engle, R.F. ; Bollerslev, T. Modelling the persistence of conditional variances. 1986 Econ. Rev.. 5 1-50
Paper not yet in RePEc: Add citation now
Engle, R.F. ; Ng, V.K. Measuring and testing the impact of news on volatility. 1993 J. Financ.. 48 1749-1778
Engle, R.F. ; Sheppard, K. Theoretical and empirical properties of dynamic conditional correlation multivariate GARCH. 2001 NBER Work. Paper. w8554 -
Farid, S. ; Kayani, G.M. ; Naeem, M.A. ; Shahzad, S.J.H. Intraday volatility transmission among precious metals, energy and stocks during the COVID-19 pandemic. 2021 Res. Policy. 72 -
Ghosh, I. ; Sanyal, M.K. ; Jana, R.K. Co-movement and dynamic correlation of financial and energy markets: an integrated framework of nonlinear dynamics, wavelet analysis and DCC-GARCH. 2021 Comput. Econ.. 57 503-527
Glosten, L.R. ; Jagannathan, R. ; Runkle, D.E. On the relation between the expected value and the volatility of the nominal excess return on stocks. 1993 J. Financ.. 48 1779-1801
Gong, X. ; Shi, R. ; Xu, J. ; Lin, B. Analyzing spillover effects between carbon and fossil energy markets from a time-varying perspective. 2021 Appl. Energy. 285 -
- Hadi, D. ; Naeem, M. ; Karim, S. Impact of COVID-19 on the connectedness across global hospitality stocks. 2022 Int. J. Hosp. Manag.. 104 -
Paper not yet in RePEc: Add citation now
- Hautsch, N. ; Kyj, L.M. ; Oomen, R.C. A blocking and regularization approach to high-dimensional realized covariance estimation. 2012 J. Appl. Econ.. 27 625-645
Paper not yet in RePEc: Add citation now
- Hentschel, L. All in the family nesting symmetric and asymmetric garch models. 1995 J. Financ. Econ.. 39 71-104
Paper not yet in RePEc: Add citation now
- Ivosev, G. ; Burton, L. ; Bonner, R. Dimensionality reduction and visualization in principal component analysis. 2008 Anal. Chem.. 80 4933-4944
Paper not yet in RePEc: Add citation now
Ji, Q. ; Zhang, D. ; Zhao, Y. Searching for safe-haven assets during the COVID-19 pandemic. 2020 Int. Rev. Financ. Anal.. 71 -
Jiang, W. ; Chen, Y. The time-frequency connectedness among carbon, traditional/new energy and material markets of China in pre- and post-COVID-19 outbreak periods. 2022 Energy. 246 -
- Joe, H. Multivariate Models and Dependence Concepts. 1997 Chapman & Hall: London
Paper not yet in RePEc: Add citation now
- Jolliffe, Ian T. ; Jorge, Cadima Principal component analysis: a review and recent developments. 2016 Phil. Trans. R. Soc. A. 374 -
Paper not yet in RePEc: Add citation now
Kang, S. ; Hernandez, J.A. ; Sadorsky, P. ; McIver, R. Frequency spillovers, connectedness, and the hedging effectiveness of oil and gold for US sector ETFs. 2021 Energy Econ.. 99 -
- Karim, S. ; Khan, S. ; Mirza, N. ; Alawi, S.M. ; Taghizadeh-Hesary, F. Climate finance in the wake of COVID-19: connectedness of clean energy with conventional energy and regional stock markets. 2022 Clim. Change Econom.. 13 2240008-
Paper not yet in RePEc: Add citation now
Koop, G. ; Pesaran, M.H. ; Potter, S.M. Impulse response analysis in nonlinear multivariate models. 1996 J. Econ.. 74 119-147
Lau, M.C.K. ; Vigne, S.A. ; Wang, S. ; Yarovaya, L. Return spillovers between white precious metal ETFs: the role of oil, gold, and global equity. 2017 Int. Rev. Financ. Anal.. 52 316-332
Li, J. ; Umar, M. ; Huo, J. The spillover effect between Chinese crude oil futures market and Chinese green energy stock market. 2023 Energy Econ.. 119 -
Madani, M.A. ; Ftiti, Z. Is gold a hedge or safe haven against oil and currency market movements? A revisit using multifractal approach. 2022 Ann. Oper. Res.. 367-400
McNeil, A.J. ; Frey, R. Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach. 2000 J. Empir. Financ.. 7 271-300
Mensi, W. ; Rehman, M. ; Vo, X. Spillovers and co-movements between precious metals and energy markets: implications on portfolio management. 2020 Res. Policy. 69 -
Mensi, W. ; Rehman, M.U. ; Maitra, D. ; Al-Yahyaee, K.H. ; Vo, X.V. Oil, natural gas and BRICS stock markets: evidence of systemic risks and co-movements in the time-frequency domain. 2021 Res. Policy. 72 -
Naeem, M. ; Balli, F. ; Shahzad, S. ; de Bruin, A. Energy commodity uncertainties and the systematic risk of US industries. 2020 Energy Econ.. 85 -
Naeem, M. ; Karim, S. ; Yarovaya, L. ; Lucey, B. COVID-induced sentiment and the intraday volatility spillovers between energy and other ETFs. 2023 Energy Econ.. 122 -
Nelson, D.B. Conditional heteroskedasticity in asset returns: a new approach. 1991 Econometrica. 347-370
Patton, A.J. Estimation of multivariate models for time series of possibly different lengths. 2006 J. Appl. Econ.. 21 147-173
Patton, A.J. Modelling asymmetric exchange rate dependence. 2006 Int. Econ. Rev.. 47 527-556
Pesaran, H.H. ; Shin, Y. Generalized impulse response analysis in linear multivariate models. 1998 Econ. Lett.. 58 17-29
Qiao, S. ; Dang, Y.J. ; Ren, Z.Y. ; Zhang, K.Q. The dynamic spillovers among carbon, fossil energy and electricity markets based on a TVP-VAR-SV method. 2023 Energy. 266 -
Reboredo, J.C. Is gold a hedge or safe haven against oil price movements?. 2013 Res. Policy. 38 130-137
Salisu, A. ; Vo, X. Predicting stock returns in the presence of COVID-19 pandemic: the role of health news. 2020 Int. Rev. Financ. Anal.. 71 -
- Schwert, G.W. Stock volatility and the crash ofâ€TM87. 1990 Rev. Financ. Stud.. 3 77-102
Paper not yet in RePEc: Add citation now
Shah, A.A. ; Paul, M. ; Bhanja, N. ; Dar, A.B. Dynamics of connectedness across crude oil, precious metals and exchange rate: evidence from time and frequency domains. 2021 Res. Policy. 73 -
Sharif, A. ; Aloui, C. ; Yarovaya, L. COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: fresh evidence from the wavelet-based approach. 2020 Int. Rev. Financ. Anal.. 70 -
Siddique, M. ; Nobanee, H. ; Karim, S. ; Naz, F. Do green financial markets offset the risk of cryptocurrencies and carbon markets?. 2023 Int. Rev. Econ. Financ.. 86 -
Siddique, M.A. ; Nobanee, H. ; Karim, S. ; Naz, F. Investigating the role of metal and commodity classes in overcoming resource destabilization. 2022 Res. Policy. 79 -
Sitara, K. ; Khan, S. ; Mirza, N. ; Alawi, M.S. ; Hesary, F.T. Climate finance in the wake of COVID-19: connectedness of clean energy with conventional energy and regional stock markets. 2022 Clim. Change Econom.. 13 -
- Sklar, M. Fonctions de répartition à n dimensions et leurs marges. 1959 En : Publications de l’Institut Statistique de l’Universite de Paris. :
Paper not yet in RePEc: Add citation now
Tsay, R.S. Autoregressive conditional duration models. 2009 En : Palgrave Handbook of Econometrics: Volume 2: Applied Econometrics. Palgrave Macmillan UK: London
- Tsay, R.S. Financial time series. 2004 En : Encyclopedia of Statistical Sciences. :
Paper not yet in RePEc: Add citation now
Umar, M. ; Farid, S. ; Naeem, M. Time-frequency connectedness among clean-energy stocks and fossil fuel markets: comparison between financial, oil and pandemic crisis. 2022 Energy. 240 -
Wang, X. ; Wang, J. ; Wang, W. ; Zhang, S. International and Chinese energy markets: dynamic spillover effects. 2023 Energy. 282 -
- Yilmaz, T. ; Çelik, I. ; Zeren, F. ; Sinan, E. Dynamic connectedness and hedging opportunity Nexus between clean energy, crude oil and technology sector. 2023 Int. J. Plant Anim. Environ. Sci.. 13 23-36
Paper not yet in RePEc: Add citation now
Zakoian, J.M. Threshold heteroskedastic models. 1994 J. Econ. Dyn. Control.. 18 931-955
- Zhang, P. ; Lv, Z.X. ; Pei, Z. ; Zhao, Y. Systemic risk spillover of financial institutions in China: a copula-DCC-GARCH approach. 2023 J. Eng. Res.. 100078 -
Paper not yet in RePEc: Add citation now
Zhang, W. ; He, X. ; Hamori, S. Volatility spillover and investment strategies among sustainability-related financial indexes: evidence from the DCC-GARCH-based dynamic connectedness and DCC-GARCH t-copula approach. 2022 Int. Rev. Financ. Anal.. 83 -