IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v139y2024ics0140988324005930.html
   My bibliography  Save this article

Interconnectedness between electricity and artificial intelligence-based markets during the crisis periods: Evidence from the TVP-VAR approach

Author

Listed:
  • Yousaf, Imran
  • Ohikhuare, Obaika M.
  • Li, Yong
  • Li, Yanshuang

Abstract

This paper examines the returns and volatilities connectedness between the electricity and AI-based markets using the Time-Varying Parameter Vector Autoregression (TVP-VAR) approach. Our sample covers the COVID-19 and Russia-Ukraine conflict-based sub-periods, and the time-varying results provide valuable insights into these two crisis episodes. Further, we estimate the determinants of returns and volatility spillovers between the electricity and AI stock markets. The following findings are apparent in our study: certain AI stocks are considered safer investments during high market risks and uncertainties; being the highest receiver of system shocks does not equate to the most vulnerability. The alternative electricity market acts as a net pairwise shock transmitter to the conventional electricity market; MSFT is the dominant asset in the system of network connectedness between the electricity and AI stock markets. Systemic and market risks and assets like Gold, Bitcoin, and BONDS significantly drive spillover interconnectedness between these electricity and artificial intelligence stock markets. These findings have implications for investors and policymakers.

Suggested Citation

  • Yousaf, Imran & Ohikhuare, Obaika M. & Li, Yong & Li, Yanshuang, 2024. "Interconnectedness between electricity and artificial intelligence-based markets during the crisis periods: Evidence from the TVP-VAR approach," Energy Economics, Elsevier, vol. 139(C).
  • Handle: RePEc:eee:eneeco:v:139:y:2024:i:c:s0140988324005930
    DOI: 10.1016/j.eneco.2024.107885
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988324005930
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2024.107885?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gupta, Kartick, 2017. "Do economic and societal factors influence the financial performance of alternative energy firms?," Energy Economics, Elsevier, vol. 65(C), pages 172-182.
    2. Ahmed, Abdullahi D. & Huo, Rui, 2021. "Volatility transmissions across international oil market, commodity futures and stock markets: Empirical evidence from China," Energy Economics, Elsevier, vol. 93(C).
    3. Song, Ying & Bouri, Elie & Ghosh, Sajal & Kanjilal, Kakali, 2021. "Rare earth and financial markets: Dynamics of return and volatility connectedness around the COVID-19 outbreak," Resources Policy, Elsevier, vol. 74(C).
    4. Sadorsky, Perry, 2012. "Modeling renewable energy company risk," Energy Policy, Elsevier, vol. 40(C), pages 39-48.
    5. Burlinson, Andrew & Davillas, Apostolos & Giulietti, Monica & Price, Catherine Waddams, 2024. "Household energy price resilience in the face of gas and electricity market crises," Energy Economics, Elsevier, vol. 132(C).
    6. Baur, Dirk G. & McDermott, Thomas K., 2010. "Is gold a safe haven? International evidence," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1886-1898, August.
    7. Mensi, Walid & Beljid, Makram & Boubaker, Adel & Managi, Shunsuke, 2013. "Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold," Economic Modelling, Elsevier, vol. 32(C), pages 15-22.
    8. Saeed, Tareq & Bouri, Elie & Alsulami, Hamed, 2021. "Extreme return connectedness and its determinants between clean/green and dirty energy investments," Energy Economics, Elsevier, vol. 96(C).
    9. Kow, Ken Weng & Wong, Yee Wan & Rajkumar, Rajparthiban Kumar & Rajkumar, Rajprasad Kumar, 2016. "A review on performance of artificial intelligence and conventional method in mitigating PV grid-tied related power quality events," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 334-346.
    10. Malik, Farooq & Umar, Zaghum, 2019. "Dynamic connectedness of oil price shocks and exchange rates," Energy Economics, Elsevier, vol. 84(C).
    11. Demiralay, Sercan & Gencer, Hatice Gaye & Bayraci, Selcuk, 2021. "How do Artificial Intelligence and Robotics Stocks co-move with traditional and alternative assets in the age of the 4th industrial revolution? Implications and Insights for the COVID-19 period," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    12. Simshauser, Paul, 2023. "The 2022 energy crisis: Fuel poverty and the impact of policy interventions in Australia's National Electricity Market," Energy Economics, Elsevier, vol. 121(C).
    13. Dirk G. Baur & Brian M. Lucey, 2010. "Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold," The Financial Review, Eastern Finance Association, vol. 45(2), pages 217-229, May.
    14. 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).
    15. 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.
    16. Gunay, Samet & Goodell, John W. & Muhammed, Shahnawaz & Kirimhan, Destan, 2023. "Frequency connectedness between FinTech, NFT and DeFi: Considering linkages to investor sentiment," International Review of Financial Analysis, Elsevier, vol. 90(C).
    17. Jiang, Wei & Chen, Yunfei, 2022. "The time-frequency connectedness among metal, energy and carbon markets pre and during COVID-19 outbreak," Resources Policy, Elsevier, vol. 77(C).
    18. Fenghua Wen & Jihong Xiao & Chuangxia Huang & Xiaohua Xia, 2018. "Interaction between oil and US dollar exchange rate: nonlinear causality, time-varying influence and structural breaks in volatility," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 319-334, January.
    19. Fasanya, Ismail O. & Adekoya, Oluwasegun B. & Adetokunbo, Abiodun M., 2021. "On the connection between oil and global foreign exchange markets: The role of economic policy uncertainty," Resources Policy, Elsevier, vol. 72(C).
    20. Shahzad, Umer & Mohammed, Kamel Si & Tiwari, Sunil & Nakonieczny, Joanna & Nesterowicz, Renata, 2023. "Connectedness between geopolitical risk, financial instability indices and precious metals markets: Novel findings from Russia Ukraine conflict perspective," Resources Policy, Elsevier, vol. 80(C).
    21. Salisu, Afees A. & Gupta, Rangan & Karmakar, Sayar & Das, Sonali, 2022. "Forecasting output growth of advanced economies over eight centuries: The role of gold market volatility as a proxy of global uncertainty," Resources Policy, Elsevier, vol. 75(C).
    22. Simon Höllerer & Laetitia Papaxanthos & Anja Cathrin Gumpinger & Katrin Fischer & Christian Beisel & Karsten Borgwardt & Yaakov Benenson & Markus Jeschek, 2020. "Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping," Nature Communications, Nature, vol. 11(1), pages 1-15, December.
    23. Emmanuel Joel Aikins Abakah & Aviral Kumar Tiwari & Chi‐Chuan Lee & Matthew Ntow‐Gyamfi, 2023. "Quantile price convergence and spillover effects among Bitcoin, Fintech, and artificial intelligence stocks," International Review of Finance, International Review of Finance Ltd., vol. 23(1), pages 187-205, March.
    24. Zhu, Xuehong & Niu, Zibo & Zhang, Hongwei & Huang, Jiaxin & Zuo, Xuguang, 2022. "Can gold and bitcoin hedge against the COVID-19 related news sentiment risk? New evidence from a NARDL approach," Resources Policy, Elsevier, vol. 79(C).
    25. Craig Webster & Stanislav Ivanov, 2020. "Robotics, Artificial Intelligence, and the Evolving Nature of Work," Springer Books, in: Babu George & Justin Paul (ed.), Digital Transformation in Business and Society, chapter 0, pages 127-143, Springer.
    26. Shi, Zhongtuo & Yao, Wei & Li, Zhouping & Zeng, Lingkang & Zhao, Yifan & Zhang, Runfeng & Tang, Yong & Wen, Jinyu, 2020. "Artificial intelligence techniques for stability analysis and control in smart grids: Methodologies, applications, challenges and future directions," Applied Energy, Elsevier, vol. 278(C).
    27. Mandisi Gwabavu & Atanda Raji, 2021. "Dynamic Control of Integrated Wind Farm Battery Energy Storage Systems for Grid Connection," Sustainability, MDPI, vol. 13(6), pages 1-27, March.
    28. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    29. Bossman, Ahmed & Gubareva, Mariya & Teplova, Tamara, 2023. "EU sectoral stocks amid geopolitical risk, market sentiment, and crude oil implied volatility: An asymmetric analysis of the Russia-Ukraine tensions," Resources Policy, Elsevier, vol. 82(C).
    30. Zhang, Yongmin & Sun, Yiru, 2023. "Did U.S. and Chinese investors respond differently to the exogenous shocks from COVID-19 and the war in Ukraine?," International Review of Financial Analysis, Elsevier, vol. 88(C).
    31. Yilanci, Veli & Kilci, Esra N., 2021. "The role of economic policy uncertainty and geopolitical risk in predicting prices of precious metals: Evidence from a time-varying bootstrap causality test," Resources Policy, Elsevier, vol. 72(C).
    32. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2017. "Asymmetric volatility connectedness on the forex market," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 39-56.
    33. Kumar, Surender & Managi, Shunsuke & Matsuda, Akimi, 2012. "Stock prices of clean energy firms, oil and carbon markets: A vector autoregressive analysis," Energy Economics, Elsevier, vol. 34(1), pages 215-226.
    34. Umar, Zaghum, 2017. "The demand of energy from an optimal portfolio choice perspective," Economic Modelling, Elsevier, vol. 61(C), pages 478-494.
    35. Fabra, Natalia, 2023. "Reforming European electricity markets: Lessons from the energy crisis," Energy Economics, Elsevier, vol. 126(C).
    36. Ohikhuare, Obaika M., 2023. "How geopolitical risk drives spillover interconnectedness between crude oil and exchange rate markets: Evidence from the Russia-Ukraine war," Resources Policy, Elsevier, vol. 86(PB).
    37. Sari, Ramazan & Hammoudeh, Shawkat & Soytas, Ugur, 2010. "Dynamics of oil price, precious metal prices, and exchange rate," Energy Economics, Elsevier, vol. 32(2), pages 351-362, March.
    38. Gong, Xu & Lin, Boqiang, 2017. "Forecasting the good and bad uncertainties of crude oil prices using a HAR framework," Energy Economics, Elsevier, vol. 67(C), pages 315-327.
    39. Salisu, Afees A. & Cuñado, Juncal & Gupta, Rangan, 2022. "Geopolitical risks and historical exchange rate volatility of the BRICS," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 179-190.
    40. Abdullah, Mohammad & Abakah, Emmanuel Joel Aikins & Wali Ullah, G M & Tiwari, Aviral Kumar & Khan, Isma, 2023. "Tail risk contagion across electricity markets in crisis periods," Energy Economics, Elsevier, vol. 127(PB).
    41. Kempitiya, Thimal & Sierla, Seppo & De Silva, Daswin & Yli-Ojanperä, Matti & Alahakoon, Damminda & Vyatkin, Valeriy, 2020. "An Artificial Intelligence framework for bidding optimization with uncertainty in multiple frequency reserve markets," Applied Energy, Elsevier, vol. 280(C).
    42. Mensi, Walid & Sensoy, Ahmet & Aslan, Aylin & Kang, Sang Hoon, 2019. "High-frequency asymmetric volatility connectedness between Bitcoin and major precious metals markets," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    43. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia, 2023. "Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence," International Review of Financial Analysis, Elsevier, vol. 87(C).
    44. Ali, Shoaib & Umar, Muhammad & Gubareva, Mariya & Vo, Xuan Vinh, 2024. "Extreme connectedness between NFTs and US equity market: A sectoral analysis," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 299-315.
    45. Mensi, Walid & Gubareva, Mariya & Teplova, Tamara & Kang, Sang Hoon, 2023. "Spillover and connectedness among G7 real estate investment trusts: The effects of investor sentiment and global factors," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    46. Zhu, Fan & Jin, Faqi & Wu, Haiquan & Wen, Fenghua, 2019. "The impact of oil price changes on stock returns of new energy industry in China: A firm-level analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 532(C).
    47. Reboredo, Juan C., 2015. "Is there dependence and systemic risk between oil and renewable energy stock prices?," Energy Economics, Elsevier, vol. 48(C), pages 32-45.
    48. Fang, Yi & Shao, Zhiquan, 2022. "The Russia-Ukraine conflict and volatility risk of commodity markets," Finance Research Letters, Elsevier, vol. 50(C).
    49. Antonakakis, Nikolaos & Gabauer, David, 2017. "Refined Measures of Dynamic Connectedness based on TVP-VAR," MPRA Paper 78282, University Library of Munich, Germany.
    50. Yarovaya, Larisa & Elsayed, Ahmed H. & Hammoudeh, Shawkat, 2021. "Determinants of Spillovers between Islamic and Conventional Financial Markets: Exploring the Safe Haven Assets during the COVID-19 Pandemic," Finance Research Letters, Elsevier, vol. 43(C).
    51. Ismail O. Fasanya & Oluwatomisin Oyewole & Oluwasegun B. Adekoya & Jones Odei-Mensah, 2021. "Dynamic spillovers and connectedness between COVID-19 pandemic and global foreign exchange markets," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 34(1), pages 2059-2084, January.
    52. Yadav, Miklesh Prasad & Abedin, Mohammad Zoynul & Sinha, Neena & Arya, Vandana, 2024. "Uncovering dynamic connectedness of Artificial intelligence stocks with agri-commodity market in wake of COVID-19 and Russia-Ukraine Invasion," Research in International Business and Finance, Elsevier, vol. 67(PA).
    53. Zeng, Shihong & Jiang, Chunxia & Ma, Chen & Su, Bin, 2018. "Investment efficiency of the new energy industry in China," Energy Economics, Elsevier, vol. 70(C), pages 536-544.
    54. Wang, Yihan & Bouri, Elie & Fareed, Zeeshan & Dai, Yuhui, 2022. "Geopolitical risk and the systemic risk in the commodity markets under the war in Ukraine," Finance Research Letters, Elsevier, vol. 49(C).
    55. Pan, Yinghao & Zhang, Chao-Chao & Lee, Chien-Chiang & Lv, Suxiang, 2024. "Environmental performance evaluation of electric enterprises during a power crisis: Evidence from DEA methods and AI prediction algorithms," Energy Economics, Elsevier, vol. 130(C).
    56. 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.
    57. Dang, Tam Hoang-Nhat & Balli, Faruk & Balli, Hatice Ozer & Nguyen, Hannah, 2024. "Firm productivity in the Energy-electricity sector over the last two decades with crisis: The role of cross-listing," Energy Economics, Elsevier, vol. 130(C).
    58. Bissoondoyal-Bheenick, Emawtee & Do, Hung & Hu, Xiaolu & Zhong, Angel, 2021. "Learning from SARS: Return and volatility connectedness in COVID-19," Finance Research Letters, Elsevier, vol. 41(C).
    59. Pourkhanali, Armin & Khezr, Peyman & Nepal, Rabindra & Jamasb, Tooraj, 2024. "Navigating the crisis: Fuel price caps in the Australian national wholesale electricity market," Energy Economics, Elsevier, vol. 129(C).
    60. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    61. Shen, Dehua & Zhang, Wei & Xiong, Xiong & Li, Xiao & Zhang, Yongjie, 2016. "Trading and non-trading period Internet information flow and intraday return volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 519-524.
    62. Naeem, Muhammad Abubakr & Farid, Saqib & Yousaf, Imran & Kang, Sang Hoon, 2023. "Asymmetric efficiency in petroleum markets before and during COVID-19," Resources Policy, Elsevier, vol. 86(PA).
    63. Bouoiyour, Jamal & Selmi, Refk & Hammoudeh, Shawkat & Wohar, Mark E., 2019. "What are the categories of geopolitical risks that could drive oil prices higher? Acts or threats?," Energy Economics, Elsevier, vol. 84(C).
    64. Mensi, Walid & Hammoudeh, Shawkat & Rehman, Mobeen Ur & Al-Maadid, Alanoud Ali S. & Hoon Kang, Sang, 2020. "Dynamic risk spillovers and portfolio risk management between precious metals and global foreign exchange markets," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    65. Tongshuai Qiao & Liyan Han, 2023. "COVID‐19 and tail risk contagion across commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(2), pages 242-272, February.
    66. Shah, Adil Ahmad & Paul, Manas & Bhanja, Niyati & Dar, Arif Billah, 2021. "Dynamics of connectedness across crude oil, precious metals and exchange rate: Evidence from time and frequency domains," Resources Policy, Elsevier, vol. 73(C).
    67. Kermadi, Mostefa & Berkouk, El Madjid, 2017. "Artificial intelligence-based maximum power point tracking controllers for Photovoltaic systems: Comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 369-386.
    68. Wen, Tiange & Wang, Gang-Jin, 2020. "Volatility connectedness in global foreign exchange markets," Journal of Multinational Financial Management, Elsevier, vol. 54(C).
    69. Boza, Pal & Evgeniou, Theodoros, 2021. "Artificial intelligence to support the integration of variable renewable energy sources to the power system," Applied Energy, Elsevier, vol. 290(C).
    70. Naeem, Muhammad Abubakr & Arfaoui, Nadia, 2023. "Exploring downside risk dependence across energy markets: Electricity, conventional energy, carbon, and clean energy during episodes of market crises," Energy Economics, Elsevier, vol. 127(PB).
    71. Feng, Qianqian & Wang, Yijing & Sun, Xiaolei & Li, Jianping & Guo, Kun & Chen, Jianming, 2023. "What drives cross-border spillovers among sovereign CDS, foreign exchange and stock markets?," Global Finance Journal, Elsevier, vol. 56(C).
    72. Mensi, Walid & Nekhili, Ramzi & Kang, Sang Hoon, 2022. "Quantile connectedness and spillovers analysis between oil and international REIT markets," Finance Research Letters, Elsevier, vol. 48(C).
    73. Yousaf, Imran & Riaz, Yasir & Goodell, John W., 2023. "Energy cryptocurrencies: Assessing connectedness with other asset classes," Finance Research Letters, Elsevier, vol. 52(C).
    74. Boubaker, Heni & Raza, Syed Ali, 2017. "A wavelet analysis of mean and volatility spillovers between oil and BRICS stock markets," Energy Economics, Elsevier, vol. 64(C), pages 105-117.
    75. Li, Yan & Feng, Tian-tian & Liu, Li-li & Zhang, Meng-xi, 2023. "How do the electricity market and carbon market interact and achieve integrated development?--A bibliometric-based review," Energy, Elsevier, vol. 265(C).
    76. Yousaf, Imran & Ijaz, Muhammad Shahzad & Umar, Muhammad & Li, Yanshuang, 2024. "Exploring volatility interconnections between AI tokens, AI stocks, and fossil fuel markets: evidence from time and frequency-based connectedness analysis," Energy Economics, Elsevier, vol. 133(C).
    77. Jareño, Francisco & Yousaf, Imran, 2023. "Artificial intelligence-based tokens: Fresh evidence of connectedness with artificial intelligence-based equities," International Review of Financial Analysis, Elsevier, vol. 89(C).
    78. 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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ying-Hui Shao & Yan-Hong Yang & Han-Xian Zhou & Wei-Xing Zhou, 2025. "Dynamic spillovers and investment strategies across artificial intelligence ETFs, artificial intelligence tokens, and green markets," Papers 2503.01148, arXiv.org, revised Jun 2025.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ohikhuare, Obaika M., 2023. "How geopolitical risk drives spillover interconnectedness between crude oil and exchange rate markets: Evidence from the Russia-Ukraine war," Resources Policy, Elsevier, vol. 86(PB).
    2. Biswas, Priti & Jain, Prachi & Maitra, Debasish, 2024. "Are shocks in the stock markets driven by commodity markets? Evidence from Russia-Ukraine war," Journal of Commodity Markets, Elsevier, vol. 34(C).
    3. Mensi, Walid & El Khoury, Rim & Al-Kharusi, Sami & Kang, Sang Hoon, 2024. "Extreme dynamic connectedness and hedging strategy across commodity, bond, currency, and stock markets: Evidence from Asian Pacific, Canada, Mexico, and US countries," International Review of Economics & Finance, Elsevier, vol. 96(PA).
    4. Raza, Syed Ali & Guesmi, Khaled & Benkraiem, Ramzi & Anwar, Rija, 2024. "Precious metals and currency markets during the Russia-Ukraine conflict’s inflationary periods," Research in International Business and Finance, Elsevier, vol. 67(PA).
    5. S. A. Raza & K. Guesmi & R. Benkraiem & R. Anwar, 2024. "Precious metals and currency markets during the Russia-Ukraine conflict’s inflationary periods," Post-Print hal-04720743, HAL.
    6. Soni, Rajat Kumar & Nandan, Tanuj & Sawarn, Ujjawal, 2024. "Investment modeling between energy futures and responsible investment," Research in International Business and Finance, Elsevier, vol. 70(PB).
    7. Su, Chi-Wei & Pang, Li-Dong & Qin, Meng & Lobonţ, Oana-Ramona & Umar, Muhammad, 2023. "The spillover effects among fossil fuel, renewables and carbon markets: Evidence under the dual dilemma of climate change and energy crises," Energy, Elsevier, vol. 274(C).
    8. Pham, Son Duy & Do, Hung Xuan & Nepal, Rabindra & Jamasb, Tooraj, 2025. "Tail risk connectedness in the Australian National Electricity Markets: The impact of rare events," Energy Economics, Elsevier, vol. 141(C).
    9. Shah, Adil Ahmad & Dar, Arif Billah, 2021. "Exploring diversification opportunities across commodities and financial markets: Evidence from time-frequency based spillovers," Resources Policy, Elsevier, vol. 74(C).
    10. Sahoo, Satyaban, 2024. "Harmony in diversity: Exploring connectedness and portfolio strategies among crude oil, gold, traditional and sustainable index," Resources Policy, Elsevier, vol. 97(C).
    11. Fasanya, Ismail O. & Oyewole, Oluwatomisin & Dauda, Mariam, 2023. "Uncertainty due to infectious diseases and bitcoin-gold nexus: Evidence from a non-parametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 82(C).
    12. Zhang, Jiahao & Zhang, Yifeng & Wei, Yu & Wang, Zhuo, 2024. "Normal and extreme impact and connectedness between fossil energy futures markets and uncertainties: Does El Niño-Southern Oscillation matter?," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 188-215.
    13. Zhang, Hongwei & Jin, Chen & Bouri, Elie & Gao, Wang & Xu, Yahua, 2023. "Realized higher-order moments spillovers between commodity and stock markets: Evidence from China," Journal of Commodity Markets, Elsevier, vol. 30(C).
    14. Silva, Thiago Christiano & Braz, Tercio & Tabak, Benjamin Miranda, 2024. "Mapping the landscape of energy markets research: A bibliometric analysis and predictive assessment using machine learning," Energy Economics, Elsevier, vol. 136(C).
    15. Hanif, Waqas & Mensi, Walid & Alomari, Mohammad & Andraz, Jorge Miguel, 2023. "Downside and upside risk spillovers between precious metals and currency markets: Evidence from before and during the COVID-19 crisis," Resources Policy, Elsevier, vol. 81(C).
    16. Evrim Mandaci, Pınar & Azimli, Asil & Mandaci, Nazif, 2023. "The impact of geopolitical risks on connectedness among natural resource commodities: A quantile vector autoregressive approach," Resources Policy, Elsevier, vol. 85(PA).
    17. Wang, Peijin & Zhang, Hongwei & Yang, Cai & Guo, Yaoqi, 2021. "Time and frequency dynamics of connectedness and hedging performance in global stock markets: Bitcoin versus conventional hedges," Research in International Business and Finance, Elsevier, vol. 58(C).
    18. Shah, Adil Ahmad & Paul, Manas & Bhanja, Niyati & Dar, Arif Billah, 2021. "Dynamics of connectedness across crude oil, precious metals and exchange rate: Evidence from time and frequency domains," Resources Policy, Elsevier, vol. 73(C).
    19. Yousfi, Mohamed & Farhani, Ramzi & Bouzgarrou, Houssam, 2024. "From the pandemic to the Russia–Ukraine crisis: Dynamic behavior of connectedness between financial markets and implications for portfolio management," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1178-1197.
    20. Yousaf, Imran & Pham, Linh & Goodell, John W., 2023. "The connectedness between meme tokens, meme stocks, and other asset classes: Evidence from a quantile connectedness approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).

    More about this item

    Keywords

    TVP-VAR; Return spillover; Spillover drivers; AI-based stocks; Electricity market crisis;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:139:y:2024:i:c:s0140988324005930. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.