IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v78y2022ics0301420722003063.html
   My bibliography  Save this article

The role of financial stress, oil, gold and natural gas prices on clean energy stocks: Global evidence from extreme quantile approach

Author

Listed:
  • Fu, Zheng
  • Chen, Zhiguo
  • Sharif, Arshian
  • Razi, Ummara

Abstract

Sustainable economic growth is the prime concern of each country without compromising environmental sustainability. Therefore investors seek the opportunities such as investment in clean energy stocks having significant social, economic, and environmental benefits for the society. Existing studies have explored various macroeconomic factors that deeply influenced the performance of clean energy stock. However, none of the studies has examined the nexus of financial stress, commodity price volatility (Oil, natural gas, gold), and clean energy stock from a global perspective. The study fills the gap by exploring the dynamic relationship among the study variables and employs the advanced methodology of “The quantile autoregressive distributed lag "(QARDL) approach from January 1, 2008, to April 30, 2021. The empirical findings of the study suggest that increased financial stress index and oil & gold prices significantly depress the performance of clean energy stocks in the long-run and short-run, whereas the natural gas has a positive influence on the clean energy stock only in the long run while in the short-run it has no significant influence. The study significantly provides a clear picture of these macroeconomic variables' interdependencies in all market conditions based on the empirical outcomes. This will provide greater investment opportunities for investors and helps the policymakers to establish better policies and strategies to boost global clean energy stock performance.

Suggested Citation

  • Fu, Zheng & Chen, Zhiguo & Sharif, Arshian & Razi, Ummara, 2022. "The role of financial stress, oil, gold and natural gas prices on clean energy stocks: Global evidence from extreme quantile approach," Resources Policy, Elsevier, vol. 78(C).
    • Handle: RePEc:eee:jrpoli:v:78:y:2022:i:c:s0301420722003063
    DOI: 10.1016/j.resourpol.2022.102860
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420722003063
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2022.102860?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. Cho, Jin Seo & Kim, Tae-hwan & Shin, Yongcheol, 2015. "Quantile cointegration in the autoregressive distributed-lag modeling framework," Journal of Econometrics, Elsevier, vol. 188(1), pages 281-300.
    2. Su, Chi-Wei & Li, Wenhao & Umar, Muhammad & Lobonţ, Oana-Ramona, 2022. "Can green credit reduce the emissions of pollutants?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 205-219.
    3. Duprey, Thibaut & Klaus, Benjamin & Peltonen, Tuomas, 2017. "Dating systemic financial stress episodes in the EU countries," Journal of Financial Stability, Elsevier, vol. 32(C), pages 30-56.
    4. Rida Waheed & Chen Wei & Suleman Sarwar & Yulan Lv, 2018. "Impact of oil prices on firm stock return: industry-wise analysis," Empirical Economics, Springer, vol. 55(2), pages 765-780, September.
    5. Jianfei Cao & Connor Dowd, 2019. "Estimation and Inference for Synthetic Control Methods with Spillover Effects," Papers 1902.07343, arXiv.org, revised Nov 2019.
    6. 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.
    7. Reboredo, Juan C. & Rivera-Castro, Miguel A. & Ugolini, Andrea, 2017. "Wavelet-based test of co-movement and causality between oil and renewable energy stock prices," Energy Economics, Elsevier, vol. 61(C), pages 241-252.
    8. Adewale Alola, Andrew & Ozturk, Ilhan & Bekun, Festus Victor, 2021. "Is clean energy prosperity and technological innovation rapidly mitigating sustainable energy-development deficit in selected sub-Saharan Africa? A myth or reality," Energy Policy, Elsevier, vol. 158(C).
    9. Aslan, Alper & Ocal, Oguz & Ozsolak, Baki & Ozturk, Ilhan, 2022. "Renewable energy and economic growth relationship under the oil reserve ownership: Evidence from panel VAR approach," Renewable Energy, Elsevier, vol. 188(C), pages 402-410.
    10. Reboredo, Juan C. & Ugolini, Andrea, 2018. "The impact of energy prices on clean energy stock prices. A multivariate quantile dependence approach," Energy Economics, Elsevier, vol. 76(C), pages 136-152.
    11. Singhal, Shelly & Choudhary, Sangita & Biswal, Pratap Chandra, 2019. "Return and volatility linkages among International crude oil price, gold price, exchange rate and stock markets: Evidence from Mexico," Resources Policy, Elsevier, vol. 60(C), pages 255-261.
    12. Pham, Linh, 2019. "Do all clean energy stocks respond homogeneously to oil price?," Energy Economics, Elsevier, vol. 81(C), pages 355-379.
    13. Sofiane Aboura & Bjoern van Roye, 2017. "Financial stress and economic dynamics: The case of France," International Economics, CEPII research center, issue 149, pages 57-73.
    14. Mishra, Shekhar & Sharif, Arshian & Khuntia, Sashikanta & Meo, Muhammad Saeed & Rehman Khan, Syed Abdul, 2019. "Does oil prices impede Islamic stock indices? Fresh insights from wavelet-based quantile-on-quantile approach," Resources Policy, Elsevier, vol. 62(C), pages 292-304.
    15. Aboura, Sofiane & van Roye, Björn, 2013. "Financial stress and economic dynamics: An application to France," Kiel Working Papers 1834, Kiel Institute for the World Economy (IfW Kiel).
    16. Illing, Mark & Liu, Ying, 2006. "Measuring financial stress in a developed country: An application to Canada," Journal of Financial Stability, Elsevier, vol. 2(3), pages 243-265, October.
    17. Broadstock, David C. & Wang, Rui & Zhang, Dayong, 2014. "Direct and indirect oil shocks and their impacts upon energy related stocks," Economic Systems, Elsevier, vol. 38(3), pages 451-467.
    18. He, Xiaojuan & Mishra, Shekhar & Aman, Ameenullah & Shahbaz, Muhammad & Razzaq, Asif & Sharif, Arshian, 2021. "The linkage between clean energy stocks and the fluctuations in oil price and financial stress in the US and Europe? Evidence from QARDL approach," Resources Policy, Elsevier, vol. 72(C).
    19. Su, Chi-Wei & Huang, Shi-Wen & Qin, Meng & Umar, Muhammad, 2021. "Does crude oil price stimulate economic policy uncertainty in BRICS?," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    20. Bouri, Elie & Jain, Anshul & Biswal, P.C. & Roubaud, David, 2017. "Cointegration and nonlinear causality amongst gold, oil, and the Indian stock market: Evidence from implied volatility indices," Resources Policy, Elsevier, vol. 52(C), pages 201-206.
    21. Ahmed, Shaghil & Coulibaly, Brahima & Zlate, Andrei, 2017. "International financial spillovers to emerging market economies: How important are economic fundamentals?," Journal of International Money and Finance, Elsevier, vol. 76(C), pages 133-152.
    22. 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).
    23. Su, Chi-Wei & Qin, Meng & Tao, Ran & Umar, Muhammad, 2020. "Does oil price really matter for the wage arrears in Russia?," Energy, Elsevier, vol. 208(C).
    24. Henriques, Irene & Sadorsky, Perry, 2008. "Oil prices and the stock prices of alternative energy companies," Energy Economics, Elsevier, vol. 30(3), pages 998-1010, May.
    25. Umar, Muhammad & Su, Chi-Wei & Rizvi, Syed Kumail Abbas & Lobonţ, Oana-Ramona, 2021. "Driven by fundamentals or exploded by emotions: Detecting bubbles in oil prices," Energy, Elsevier, vol. 231(C).
    26. Stijn Claessens & Neeltje van Horen, 2015. "The Impact of the Global Financial Crisis on Banking Globalization," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 63(4), pages 868-918, November.
    27. Fayrouz Souissi & Yousra Trichilli & Mouna Boujelbène-Abbes, 2020. "Googling investor's sentiment, financial stress and dynamics of European market indexes: a Markov chain analysis," International Journal of Bonds and Derivatives, Inderscience Enterprises Ltd, vol. 4(2), pages 152-178.
    28. Bouri, Elie & Gupta, Rangan & Lau, Chi Keung Marco & Roubaud, David & Wang, Shixuan, 2018. "Bitcoin and global financial stress: A copula-based approach to dependence and causality in the quantiles," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 297-307.
    29. Tao, Ran & Su, Chi-Wei & Naqvi, Bushra & Rizvi, Syed Kumail Abbas, 2022. "Can Fintech development pave the way for a transition towards low-carbon economy: A global perspective," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    30. Ahmad, Wasim, 2017. "On the dynamic dependence and investment performance of crude oil and clean energy stocks," Research in International Business and Finance, Elsevier, vol. 42(C), pages 376-389.
    31. Naeem, Muhammad Abubakr & Nguyen, Thi Thu Ha & Nepal, Rabindra & Ngo, Quang-Thanh & Taghizadeh–Hesary, Farhad, 2021. "Asymmetric relationship between green bonds and commodities: Evidence from extreme quantile approach," Finance Research Letters, Elsevier, vol. 43(C).
    32. Blix Grimaldi, Marianna, 2010. "Detecting and interpreting financial stress in the euro area," Working Paper Series 1214, European Central Bank.
    33. Polat, Onur & Ozkan, Ibrahim, 2019. "Transmission mechanisms of financial stress into economic activity in Turkey," Journal of Policy Modeling, Elsevier, vol. 41(2), pages 395-415.
    34. Sun, Yanpeng & Mirza, Nawazish & Qadeer, Abdul & Hsueh, Hsin-Pei, 2021. "Connectedness between oil and agricultural commodity prices during tranquil and volatile period. Is crude oil a victim indeed?," Resources Policy, Elsevier, vol. 72(C).
    35. Basher, Syed Abul & Sadorsky, Perry, 2016. "Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH," Energy Economics, Elsevier, vol. 54(C), pages 235-247.
    36. Wang, Kai-Hua & Su, Chi-Wei & Lobonţ, Oana-Ramona & Moldovan, Nicoleta-Claudia, 2020. "Chinese renewable energy industries’ boom and recession: Evidence from bubble detection procedure," Energy Policy, Elsevier, vol. 138(C).
    37. Das, Debojyoti & Kannadhasan, M. & Bhattacharyya, Malay, 2019. "Do the emerging stock markets react to international economic policy uncertainty, geopolitical risk and financial stress alike?," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 1-19.
    38. Hussain Shahzad, Syed Jawad & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav, 2020. "Safe haven, hedge and diversification for G7 stock markets: Gold versus bitcoin," Economic Modelling, Elsevier, vol. 87(C), pages 212-224.
    39. Dogan, Eyup & Altinoz, Buket & Madaleno, Mara & Taskin, Dilvin, 2020. "The impact of renewable energy consumption to economic growth: A replication and extension of Inglesi-Lotz (2016)," Energy Economics, Elsevier, vol. 90(C).
    40. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    41. Uddin, Gazi Salah & Rahman, Md Lutfur & Hedström, Axel & Ahmed, Ali, 2019. "Cross-quantilogram-based correlation and dependence between renewable energy stock and other asset classes," Energy Economics, Elsevier, vol. 80(C), pages 743-759.
    42. Donggyu Lee & Jungho Baek, 2018. "Stock Prices of Renewable Energy Firms: Are There Asymmetric Responses to Oil Price Changes?," Economies, MDPI, vol. 6(4), pages 1-8, November.
    43. Hu, Jinyan & Wang, Kai-Hua & Su, Chi Wei & Umar, Muhammad, 2022. "Oil price, green innovation and institutional pressure: A China's perspective," Resources Policy, Elsevier, vol. 78(C).
    44. Ferrer, Román & Shahzad, Syed Jawad Hussain & López, Raquel & Jareño, Francisco, 2018. "Time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices," Energy Economics, Elsevier, vol. 76(C), pages 1-20.
    45. 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.
    46. Bondia, Ripsy & Ghosh, Sajal & Kanjilal, Kakali, 2016. "International crude oil prices and the stock prices of clean energy and technology companies: Evidence from non-linear cointegration tests with unknown structural breaks," Energy, Elsevier, vol. 101(C), pages 558-565.
    47. Dawar, Ishaan & Dutta, Anupam & Bouri, Elie & Saeed, Tareq, 2021. "Crude oil prices and clean energy stock indices: Lagged and asymmetric effects with quantile regression," Renewable Energy, Elsevier, vol. 163(C), pages 288-299.
    48. Umar, Muhammad & Ji, Xiangfeng & Mirza, Nawazish & Li, Haiping, 2022. "Crypto swings and the performance of carbon-intensive equity funds in China," Resources Policy, Elsevier, vol. 78(C).
    49. Ravi Balakrishnan & Stephan Danninger & Selim Elekdag & Irina Tytell, 2011. "The Transmission of Financial Stress from Advanced to Emerging Economies," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(0), pages 40-68, May.
    50. Liu, Xueyong & An, Haizhong & Li, Huajiao & Chen, Zhihua & Feng, Sida & Wen, Shaobo, 2017. "Features of spillover networks in international financial markets: Evidence from the G20 countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 265-278.
    51. Stijn Claessens & Neeltje van Horen, 2015. "The Impact of the Global Financial Crisis on Banking Globalization," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 63(4), pages 868-918, November.
    Full references (including those not matched with items on IDEAS)

    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. Tan, Xueping & Geng, Yong & Vivian, Andrew & Wang, Xinyu, 2021. "Measuring risk spillovers between oil and clean energy stocks: Evidence from a systematic framework," Resources Policy, Elsevier, vol. 74(C).
    2. Liu, Yongtuan & Wang, Kewei, 2024. "Asymmetric impacts of coal prices, fintech, and financial stress on clean energy stocks," Resources Policy, Elsevier, vol. 92(C).
    3. Urom, Christian & Mzoughi, Hela & Ndubuisi, Gideon & Guesmi, Khaled, 2022. "Directional predictability and time-frequency spillovers among clean energy sectors and oil price uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 326-341.
    4. Si Mohammed, K. & Mellit, A., 2023. "The relationship between oil prices and the indices of renewable energy and technology companies based on QQR and GCQ techniques," Renewable Energy, Elsevier, vol. 209(C), pages 97-105.
    5. Ahmed, Walid M.A. & Sleem, Mohamed A.E., 2023. "Short- and long-run determinants of the price behavior of US clean energy stocks: A dynamic ARDL simulations approach," Energy Economics, Elsevier, vol. 124(C).
    6. He, Xiaojuan & Mishra, Shekhar & Aman, Ameenullah & Shahbaz, Muhammad & Razzaq, Asif & Sharif, Arshian, 2021. "The linkage between clean energy stocks and the fluctuations in oil price and financial stress in the US and Europe? Evidence from QARDL approach," Resources Policy, Elsevier, vol. 72(C).
    7. Tareq Saeed & Elie Bouri & Dang Khoa Tran, 2020. "Hedging Strategies of Green Assets against Dirty Energy Assets," Energies, MDPI, vol. 13(12), pages 1-17, June.
    8. Matteo Foglia & Eliana Angelini, 2020. "Volatility Connectedness between Clean Energy Firms and Crude Oil in the COVID-19 Era," Sustainability, MDPI, vol. 12(23), pages 1-22, November.
    9. Yahya, Muhammad & Kanjilal, Kakali & Dutta, Anupam & Uddin, Gazi Salah & Ghosh, Sajal, 2021. "Can clean energy stock price rule oil price? New evidences from a regime-switching model at first and second moments," Energy Economics, Elsevier, vol. 95(C).
    10. Capucine Nobletz, 2021. "Return spillovers between green energy indexes and financial markets: a first sectoral approach," EconomiX Working Papers 2021-24, University of Paris Nanterre, EconomiX.
    11. Ferreira, Paulo & Almeida, Dora & Dionísio, Andreia & Bouri, Elie & Quintino, Derick, 2022. "Energy markets – Who are the influencers?," Energy, Elsevier, vol. 239(PA).
    12. Zhang, Jiahao & Chen, Xiaodan & Wei, Yu & Bai, Lan, 2023. "Does the connectedness among fossil energy returns matter for renewable energy stock returns? Fresh insights from the Cross-Quantilogram analysis," International Review of Financial Analysis, Elsevier, vol. 88(C).
    13. Fahmy, Hany, 2022. "The rise in investors’ awareness of climate risks after the Paris Agreement and the clean energy-oil-technology prices nexus," Energy Economics, Elsevier, vol. 106(C).
    14. 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).
    15. Dutta, Anupam & Bouri, Elie & Rothovius, Timo & Uddin, Gazi Salah, 2023. "Climate risk and green investments: New evidence," Energy, Elsevier, vol. 265(C).
    16. Fernanda Fuentes & Rodrigo Herrera, 2020. "Dynamics of Connectedness in Clean Energy Stocks," Energies, MDPI, vol. 13(14), pages 1-19, July.
    17. Samir Cedic & Alwan Mahmoud & Matteo Manera & Gazi Salah Uddin, 2021. "Information Diffusion and Spillover Dynamics in Renewable Energy Markets," Working Papers 2021.10, Fondazione Eni Enrico Mattei.
    18. 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).
    19. Farid, Saqib & Karim, Sitara & Naeem, Muhammad A. & Nepal, Rabindra & Jamasb, Tooraj, 2023. "Co-movement between dirty and clean energy: A time-frequency perspective," Energy Economics, Elsevier, vol. 119(C).
    20. Asl, Mahdi Ghaemi & Canarella, Giorgio & Miller, Stephen M., 2021. "Dynamic asymmetric optimal portfolio allocation between energy stocks and energy commodities: Evidence from clean energy and oil and gas companies," Resources Policy, Elsevier, vol. 71(C).

    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:jrpoli:v:78:y:2022:i:c:s0301420722003063. 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/inca/30467 .

    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.