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Time-varying causalities from the COVID-19 media coverage to the dynamic spillovers among the cryptocurrency, the clean energy, and the crude oil

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  • Lu, Xunfa
  • Huang, Nan
  • Mo, Jianlei

Abstract

This paper aims to explore the time-varying causalities from the COVID-19 media coverage (MCI) to the dynamic spillovers among the cryptocurrency, the clean energy, and the crude oil. To achieve this goal, the dynamic spillovers among the three elements are estimated by employing the TVP-VAR extended joint connectedness approach in the first stage, while the temporal heterogeneity and persistence of causalities from MCI to the dynamic spillovers among the three elements are examined in the second stage by using the novel time-varying causality technique. We find that the dynamic spillovers among the three elements have been strengthened during the turmoil periods, i.e., the COVID-19 pandemic. Moreover, the averaged joint connectedness results show that the cryptocurrency and the clean energy seem to be the net receivers of spillovers, whereas the crude oil is the net transmitter of spillovers. However, the net spillovers roles of the three elements shift between transmitter and receiver dynamically. The causality results demonstrate that MCI has a significant causal effect on the dynamic total spillovers, the dynamic net total directional spillovers, and the dynamic net pairwise directional spillovers during certain periods. Specifically, long-lasting causal effects of MCI on the dynamic total spillovers are identified during the periods of December 2020–January 2021 and March 2021–October 2021. The causalities from MCI to the dynamic net total directional spillovers for the clean energy and the crude oil exist from September 2020 to the end of the sample period, more persistent than those for the cryptocurrency. Moreover, the causalities from MCI to the dynamic net total pairwise directional spillovers for the cryptocurrency-clean energy and the cryptocurrency-crude oil are found to be similar, which last for a shorter period than those for the clean energy-crude oil. These causal relationships can be fundamentally explained by the fact that investors' sentiments are susceptible to the COVID-19 media coverage, thus triggering changes in investors' decision-making.

Suggested Citation

  • Lu, Xunfa & Huang, Nan & Mo, Jianlei, 2024. "Time-varying causalities from the COVID-19 media coverage to the dynamic spillovers among the cryptocurrency, the clean energy, and the crude oil," Energy Economics, Elsevier, vol. 132(C).
  • Handle: RePEc:eee:eneeco:v:132:y:2024:i:c:s0140988324001506
    DOI: 10.1016/j.eneco.2024.107442
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    as
    1. Yarovaya, Larisa & Brzeszczyński, Janusz & Goodell, John W. & Lucey, Brian & Lau, Chi Keung Marco, 2022. "Rethinking financial contagion: Information transmission mechanism during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    2. Selmi, Refk & Mensi, Walid & Hammoudeh, Shawkat & Bouoiyour, Jamal, 2018. "Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold," Energy Economics, Elsevier, vol. 74(C), pages 787-801.
    3. Le, Lan-TN & Yarovaya, Larisa & Nasir, Muhammad Ali, 2021. "Did COVID-19 change spillover patterns between Fintech and other asset classes?," Research in International Business and Finance, Elsevier, vol. 58(C).
    4. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    5. Meegan, Andrew & Corbet, Shaen & Larkin, Charles, 2018. "Financial market spillovers during the quantitative easing programmes of the global financial crisis (2007–2009) and the European debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 128-148.
    6. Hammoudeh, Shawkat & Ajmi, Ahdi Noomen & Mokni, Khaled, 2020. "Relationship between green bonds and financial and environmental variables: A novel time-varying causality," Energy Economics, Elsevier, vol. 92(C).
    7. Karmakar, Sayar & Demirer, Riza & Gupta, Rangan, 2021. "Bitcoin mining activity and volatility dynamics in the power market," Economics Letters, Elsevier, vol. 209(C).
    8. Seyram Pearl Kumah & Jones Odei-Mensah, 2022. "Do cryptocurrencies and crude oil influence each other? Evidence from wavelet-based quantile-in-quantile approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2082027-208, December.
    9. Jozef Baruník & Tomáš Křehlík, 2018. "Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
    10. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2021. "Hedging stocks with oil," Energy Economics, Elsevier, vol. 93(C).
    11. Le, Thai Hong & Luong, Anh Tram, 2022. "Dynamic spillovers between oil price, stock market, and investor sentiment: Evidence from the United States and Vietnam," Resources Policy, Elsevier, vol. 78(C).
    12. Umar, Zaghum & Gubareva, Mariya, 2021. "Faith-based investments and the Covid-19 pandemic: Analyzing equity volatility and media coverage time-frequency relations," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    13. Jiang, Wei & Dong, Lingfei & Chen, Yunfei, 2023. "Time-frequency connectedness among traditional/new energy, green finance, and ESG in pre- and post-Russia-Ukraine war periods," Resources Policy, Elsevier, vol. 83(C).
    14. Elie, Bouri & Naji, Jalkh & Dutta, Anupam & Uddin, Gazi Salah, 2019. "Gold and crude oil as safe-haven assets for clean energy stock indices: Blended copulas approach," Energy, Elsevier, vol. 178(C), pages 544-553.
    15. Geng, Jiang-Bo & Chen, Fu-Rui & Ji, Qiang & Liu, Bing-Yue, 2021. "Network connectedness between natural gas markets, uncertainty and stock markets," Energy Economics, Elsevier, vol. 95(C).
    16. Xianfang Su & Yong Li, 2020. "Dynamic sentiment spillovers among crude oil, gold, and Bitcoin markets: Evidence from time and frequency domain analyses," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-26, December.
    17. Li, Zijian & Meng, Qiaoyu, 2022. "Time and frequency connectedness and portfolio diversification between cryptocurrencies and renewable energy stock markets during COVID-19," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    18. Abuzayed, Bana & Al-Fayoumi, Nedal, 2021. "Risk spillover from crude oil prices to GCC stock market returns: New evidence during the COVID-19 outbreak," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    19. Ender Demir & Renatas Kizys & Wael Rouatbi & Adam Zaremba, 2021. "COVID-19 Vaccinations and the Volatility of Energy Companies in International Markets," JRFM, MDPI, vol. 14(12), pages 1-21, December.
    20. Khalfaoui, Rabeh & Gozgor, Giray & Goodell, John W., 2023. "Impact of Russia-Ukraine war attention on cryptocurrency: Evidence from quantile dependence analysis," Finance Research Letters, Elsevier, vol. 52(C).
    21. Apergis, Nicholas & Lau, Marco Chi Keung & Yarovaya, Larisa, 2016. "Media sentiment and CDS spread spillovers: Evidence from the GIIPS countries," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 50-59.
    22. Aviral Kumar Tiwari & Emmanuel Joel Aikins Abakah & Mohd Ziaur Rehman & Chi-Chuan Lee, 2024. "Quantile dependence of Bitcoin with clean and renewable energy stocks: new global evidence," Applied Economics, Taylor & Francis Journals, vol. 56(3), pages 286-300, January.
    23. Shahbaz, Muhammad & Trabelsi, Nader & Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Jiao, Zhilun, 2021. "Relationship between green investments, energy markets, and stock markets in the aftermath of the global financial crisis," Energy Economics, Elsevier, vol. 104(C).
    24. Bouri, Elie & Gupta, Rangan & Tiwari, Aviral Kumar & Roubaud, David, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Finance Research Letters, Elsevier, vol. 23(C), pages 87-95.
    25. Corbet, Shaen & Lucey, Brian & Yarovaya, Larisa, 2021. "Bitcoin-energy markets interrelationships - New evidence," Resources Policy, Elsevier, vol. 70(C).
    26. Khalfaoui, Rabeh & Mefteh-Wali, Salma & Dogan, Buhari & Ghosh, Sudeshna, 2023. "Extreme spillover effect of COVID-19 pandemic-related news and cryptocurrencies on green bond markets: A quantile connectedness analysis," International Review of Financial Analysis, Elsevier, vol. 86(C).
    27. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    28. Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).
    29. Charfeddine, Lanouar & Benlagha, Noureddine & Maouchi, Youcef, 2020. "Investigating the dynamic relationship between cryptocurrencies and conventional assets: Implications for financial investors," Economic Modelling, Elsevier, vol. 85(C), pages 198-217.
    30. Shuping Shi & Stan Hurn & Peter C B Phillips, 2020. "Causal Change Detection in Possibly Integrated Systems: Revisiting the Money–Income Relationship [Energy Consumption and Economic Growth in the United States]," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(1), pages 158-180.
    31. Kurka, Josef, 2019. "Do cryptocurrencies and traditional asset classes influence each other?," Finance Research Letters, Elsevier, vol. 31(C), pages 38-46.
    32. Le Thanh Ha, 2022. "Fat tails and network interlinkages of crude oil and cryptocurrency during the COVID-19 health crisis," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(5), pages 1087-1104, October.
    33. Yuqin Zhou & Shan Wu & Zhenhua Liu & Lavinia Rognone, 2023. "The asymmetric effects of climate risk on higher-moment connectedness among carbon, energy and metals markets," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    34. Borri, Nicola & Shakhnov, Kirill, 2020. "Regulation spillovers across cryptocurrency markets," Finance Research Letters, Elsevier, vol. 36(C).
    35. Caloia, Francesco Giuseppe & Cipollini, Andrea & Muzzioli, Silvia, 2019. "How do normalization schemes affect net spillovers? A replication of the Diebold and Yilmaz (2012) study," Energy Economics, Elsevier, vol. 84(C).
    36. Naeem, Muhammad Abubakr & Hasan, Mudassar & Arif, Muhammad & Suleman, Muhammad Tahir & Kang, Sang Hoon, 2022. "Oil and gold as a hedge and safe-haven for metals and agricultural commodities with portfolio implications," Energy Economics, Elsevier, vol. 105(C).
    37. Atri, Hanen & Kouki, Saoussen & Gallali, Mohamed imen, 2021. "The impact of COVID-19 news, panic and media coverage on the oil and gold prices: An ARDL approach," Resources Policy, Elsevier, vol. 72(C).
    38. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
    39. Xu Gong & Yujing Jin & Chuanwang Sun, 2022. "Time‐varying pure contagion effect between energy and nonenergy commodity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1960-1986, October.
    40. Gong, Xu & Shi, Rong & Xu, Jun & Lin, Boqiang, 2021. "Analyzing spillover effects between carbon and fossil energy markets from a time-varying perspective," Applied Energy, Elsevier, vol. 285(C).
    41. Raggad, Bechir, 2021. "Time varying causal relationship between renewable energy consumption, oil prices and economic activity: New evidence from the United States," Resources Policy, Elsevier, vol. 74(C).
    42. Jia, Zhijie & Wen, Shiyan & Lin, Boqiang, 2021. "The effects and reacts of COVID-19 pandemic and international oil price on energy, economy, and environment in China," Applied Energy, Elsevier, vol. 302(C).
    43. Li, Jingpeng & Umar, Muhammad & Huo, Jiale, 2023. "The spillover effect between Chinese crude oil futures market and Chinese green energy stock market," Energy Economics, Elsevier, vol. 119(C).
    44. Xing, Xiaoyun & Xu, Zihan & Chen, Ying & Ouyang, WenPei & Deng, Jing & Pan, Huanxue, 2023. "The impact of the Russia–Ukraine conflict on the energy subsector stocks in China: A network-based approach," Finance Research Letters, Elsevier, vol. 53(C).
    45. Lu, Xunfa & Huang, Nan & Mo, Jianlei & Ye, Zhitao, 2023. "Dynamics of the return and volatility connectedness among green finance markets during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 125(C).
    46. Syed Jawad Hussain Shahzad & Elie Bouri & Sang Hoon Kang & Tareq Saeed, 2021. "Regime specific spillover across cryptocurrencies and the role of COVID-19," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-24, December.
    47. Isaac Appiah-Otoo, 2023. "The Impact of the Russia-Ukraine War on the Cryptocurrency Market," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 4(1), pages 1-5.
    48. Su, Chi-Wei & Qin, Meng & Tao, Ran & Umar, Muhammad, 2020. "Financial implications of fourth industrial revolution: Can bitcoin improve prospects of energy investment?," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    49. Pham, Linh & Huynh, Toan Luu Duc & Hanif, Waqas, 2023. "Time-varying asymmetric spillovers among cryptocurrency, green and fossil-fuel investments," Global Finance Journal, Elsevier, vol. 58(C).
    50. Lean, Hooi Hooi & Alkhazali, Osamah M. & Gleason, Kimberley & Yeap, Xiu Wei, 2024. "Connectedness and economic policy uncertainty spillovers to the ASEAN stock markets," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 167-186.
    51. Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2021. "How COVID-19 drives connectedness among commodity and financial markets: Evidence from TVP-VAR and causality-in-quantiles techniques," Resources Policy, Elsevier, vol. 70(C).
    52. Ji, Qiang & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav, 2019. "Information interdependence among energy, cryptocurrency and major commodity markets," Energy Economics, Elsevier, vol. 81(C), pages 1042-1055.
    53. Tomohiro Ando & Matthew Greenwood-Nimmo & Yongcheol Shin, 2022. "Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks," Management Science, INFORMS, vol. 68(4), pages 2401-2431, April.
    54. Youssef, Mouna & Waked, Sami Sobhi, 2022. "Herding behavior in the cryptocurrency market during COVID-19 pandemic: The role of media coverage," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    55. Aktham Maghyereh & Hussein Abdoh, 2022. "COVID-19 and the volatility interlinkage between bitcoin and financial assets," Empirical Economics, Springer, vol. 63(6), pages 2875-2901, December.
    56. Yin, Libo & Nie, Jing & Han, Liyan, 2021. "Understanding cryptocurrency volatility: The role of oil market shocks," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 233-253.
    57. Li, Dongxin & Hong, Yanran & Wang, Lu & Xu, Pengfei & Pan, Zhigang, 2022. "Extreme risk transmission among bitcoin and crude oil markets," Resources Policy, Elsevier, vol. 77(C).
    58. Das, Debojyoti & Le Roux, Corlise Liesl & Jana, R.K. & Dutta, Anupam, 2020. "Does Bitcoin hedge crude oil implied volatility and structural shocks? A comparison with gold, commodity and the US Dollar," Finance Research Letters, Elsevier, vol. 36(C).
    59. Aysan, Ahmet Faruk & Demir, Ender & Gozgor, Giray & Lau, Chi Keung Marco, 2019. "Effects of the geopolitical risks on Bitcoin returns and volatility," Research in International Business and Finance, Elsevier, vol. 47(C), pages 511-518.
    60. Zaghum Umar & Francisco Jareño & Ana Escribano, 2022. "Dynamic return and volatility connectedness for dominant agricultural commodity markets during the COVID-19 pandemic era," Applied Economics, Taylor & Francis Journals, vol. 54(9), pages 1030-1054, February.
    61. Ji, Qiang & Bouri, Elie & Lau, Chi Keung Marco & Roubaud, David, 2019. "Dynamic connectedness and integration in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 257-272.
    62. Rabeh Khalfaoui & Salma Mefteh-Wali & Buhari Dogan & Sudeshna Ghosh, 2023. "Extreme spillover effect of COVID-19 pandemic-related news and cryptocurrencies on green bond markets: A quantile connectedness analysis," Post-Print hal-03998228, HAL.
    63. Ciner, Cetin & Lucey, Brian & Yarovaya, Larisa, 2022. "Determinants of cryptocurrency returns: A LASSO quantile regression approach," Finance Research Letters, Elsevier, vol. 49(C).
    64. Arfaoui, Nadia & Yousaf, Imran & Jareño, Francisco, 2023. "Return and volatility connectedness between gold and energy markets: Evidence from the pre- and post-COVID vaccination phases," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 617-634.
    65. Umar, Muhammad & Farid, Saqib & Naeem, Muhammad Abubakr, 2022. "Time-frequency connectedness among clean-energy stocks and fossil fuel markets: Comparison between financial, oil and pandemic crisis," Energy, Elsevier, vol. 240(C).
    66. Corbet, Shaen & Goodell, John W. & Günay, Samet, 2020. "Co-movements and spillovers of oil and renewable firms under extreme conditions: New evidence from negative WTI prices during COVID-19," Energy Economics, Elsevier, vol. 92(C).
    67. Wan, Daoxia & Xue, Rui & Linnenluecke, Martina & Tian, Jinfang & Shan, Yuli, 2021. "The impact of investor attention during COVID-19 on investment in clean energy versus fossil fuel firms," Finance Research Letters, Elsevier, vol. 43(C).
    68. Al-Yahyaee, Khamis Hamed & Mensi, Walid & Al-Jarrah, Idries Mohammad Wanas & Hamdi, Atef & Kang, Sang Hoon, 2019. "Volatility forecasting, downside risk, and diversification benefits of Bitcoin and oil and international commodity markets: A comparative analysis with yellow metal," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 104-120.
    69. Lastrapes, William D. & Wiesen, Thomas F.P., 2021. "The joint spillover index," Economic Modelling, Elsevier, vol. 94(C), pages 681-691.
    70. Samet Gunay & Gokberk Can, 2022. "The source of financial contagion and spillovers: An evaluation of the covid-19 pandemic and the global financial crisis," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-20, January.
    71. Umar, Zaghum & Jareño, Francisco & González, María de la O, 2021. "The impact of COVID-19-related media coverage on the return and volatility connectedness of cryptocurrencies and fiat currencies," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    72. Zhang, Hongwei & Hong, Huojun & Guo, Yaoqi & Yang, Cai, 2022. "Information spillover effects from media coverage to the crude oil, gold, and Bitcoin markets during the COVID-19 pandemic: Evidence from the time and frequency domains," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 267-285.
    73. Huynh, Toan Luu Duc & Foglia, Matteo & Nasir, Muhammad Ali & Angelini, Eliana, 2021. "Feverish sentiment and global equity markets during the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 1088-1108.
    74. Chen, Jinyu & Liang, Zhipeng & Ding, Qian & Liu, Zhenhua, 2022. "Extreme spillovers among fossil energy, clean energy, and metals markets: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 107(C).
    75. Ha, Le Thanh & Nham, Nguyen Thi Hong, 2022. "An application of a TVP-VAR extended joint connected approach to explore connectedness between WTI crude oil, gold, stock and cryptocurrencies during the COVID-19 health crisis," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    76. Mo, Bin & Meng, Juan & Zheng, Liping, 2022. "Time and frequency dynamics of connectedness between cryptocurrencies and commodity markets," Resources Policy, Elsevier, vol. 77(C).
    77. Du, Limin & He, Yanan, 2015. "Extreme risk spillovers between crude oil and stock markets," Energy Economics, Elsevier, vol. 51(C), pages 455-465.
    78. Symitsi, Efthymia & Chalvatzis, Konstantinos J., 2018. "Return, volatility and shock spillovers of Bitcoin with energy and technology companies," Economics Letters, Elsevier, vol. 170(C), pages 127-130.
    79. Caferra, Rocco & Vidal-Tomás, David, 2021. "Who raised from the abyss? A comparison between cryptocurrency and stock market dynamics during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 43(C).
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