IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v232y2021ics036054422101269x.html
   My bibliography  Save this article

Are oil-clean energy and high technology stock prices in the same straits? Bubbles speculation and time-varying perspectives

Author

Listed:
  • Kassouri, Yacouba
  • Kacou, Kacou Yves Thierry
  • Alola, Andrew Adewale

Abstract

Motivated by the drive to improve the performance and growth of clean energy technology amidst related high-tech innovations, the vulnerability of clean energy and high-tech stock prices to oil shocks is examined, by illustrating the potential bubbles and time-varying interactions among the commodities over the period from January 2004 to December 2017. In this regard, we contribute to the literature in two aspects. First, we analyze an empirically important issue with the SADF (Supremum Augmented Dickey-Fuller) approach for explosive bubbles in oil price, clean energy, and high-tech stock prices. Second, the Markov Chain Monte Carlo (MCMC) approach of the Bayesian time-varying parameter Vector Autoregressions model with stochastic volatility (TVP-SVAR) technique is used to account for time-varying and state dependent interactions between commodities. We found that the time varying behavior of the dependence among clean energy, high technology stocks and oil prices is mainly due to major bubbles identified in the underlying series. We established contrasting evidence between the responses of clean energy and high-tech stocks to oil disruption shocks. Moreover, the stock return volatilities of high technology stocks have no effect on investors’ expectations of clean energy returns across different time horizons. Overall, this study presents significantly relevant policy guideline.

Suggested Citation

  • Kassouri, Yacouba & Kacou, Kacou Yves Thierry & Alola, Andrew Adewale, 2021. "Are oil-clean energy and high technology stock prices in the same straits? Bubbles speculation and time-varying perspectives," Energy, Elsevier, vol. 232(C).
  • Handle: RePEc:eee:energy:v:232:y:2021:i:c:s036054422101269x
    DOI: 10.1016/j.energy.2021.121021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422101269X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2021.121021?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. Peter C. B. Phillips & Yangru Wu & Jun Yu, 2011. "EXPLOSIVE BEHAVIOR IN THE 1990s NASDAQ: WHEN DID EXUBERANCE ESCALATE ASSET VALUES?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(1), pages 201-226, February.
    2. Kocaarslan, Baris & Soytas, Ugur, 2019. "Dynamic correlations between oil prices and the stock prices of clean energy and technology firms: The role of reserve currency (US dollar)," Energy Economics, Elsevier, vol. 84(C).
    3. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    4. 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.
    5. Brem, Alexander & Nylund, Petra & Viardot, Eric, 2020. "The impact of the 2008 financial crisis on innovation: A dominant design perspective," Journal of Business Research, Elsevier, vol. 110(C), pages 360-369.
    6. Zhang, Guofu & Du, Ziping, 2017. "Co-movements among the stock prices of new energy, high-technology and fossil fuel companies in China," Energy, Elsevier, vol. 135(C), pages 249-256.
    7. Christiane Baumeister & Lutz Kilian, 2016. "Understanding the Decline in the Price of Oil since June 2014," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 3(1), pages 131-158.
    8. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    9. Hofman, Daan M. & Huisman, Ronald, 2012. "Did the financial crisis lead to changes in private equity investor preferences regarding renewable energy and climate policies?," Energy Policy, Elsevier, vol. 47(C), pages 111-116.
    10. 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.
    11. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2017. "Oil shocks and stock markets: Dynamic connectedness under the prism of recent geopolitical and economic unrest," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 1-26.
    12. Ansari, Dawud, 2017. "OPEC, Saudi Arabia, and the shale revolution: Insights from equilibrium modelling and oil politics," Energy Policy, Elsevier, vol. 111(C), pages 166-178.
    13. Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
    14. Sheng, Xin & Gupta, Rangan & Ji, Qiang, 2020. "The impacts of structural oil shocks on macroeconomic uncertainty: Evidence from a large panel of 45 countries," Energy Economics, Elsevier, vol. 91(C).
    15. Sadorsky, Perry, 2012. "Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies," Energy Economics, Elsevier, vol. 34(1), pages 248-255.
    16. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    17. 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.
    18. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
    19. Pham, Linh, 2019. "Do all clean energy stocks respond homogeneously to oil price?," Energy Economics, Elsevier, vol. 81(C), pages 355-379.
    20. Jouchi Nakajima & Toshiaki Watanabe, 2011. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model with the Ordering of Variables for the Japanese Economy and Monetary Policy," Global COE Hi-Stat Discussion Paper Series gd11-196, Institute of Economic Research, Hitotsubashi University.
    21. Sadorsky, Perry, 2003. "The macroeconomic determinants of technology stock price volatility," Review of Financial Economics, Elsevier, vol. 12(2), pages 191-205.
    22. Toshiaki Watanabe, 2004. "A multi-move sampler for estimating non-Gaussian time series models: Comments on Shephard & Pitt (1997)," Biometrika, Biometrika Trust, vol. 91(1), pages 246-248, March.
    23. Enders, Walter & Lee, Junsoo, 2012. "The flexible Fourier form and Dickey–Fuller type unit root tests," Economics Letters, Elsevier, vol. 117(1), pages 196-199.
    24. Elsayed, Ahmed H. & Nasreen, Samia & Tiwari, Aviral Kumar, 2020. "Time-varying co-movements between energy market and global financial markets: Implication for portfolio diversification and hedging strategies," Energy Economics, Elsevier, vol. 90(C).
    25. Andrew Adewale Alola & Uju Violet Alola, 2018. "Agricultural land usage and tourism impact on renewable energy consumption among Coastline Mediterranean Countries," Energy & Environment, , vol. 29(8), pages 1438-1454, December.
    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. Kassouri, Yacouba, 2022. "Fiscal decentralization and public budgets for energy RD&D: A race to the bottom?," Energy Policy, Elsevier, vol. 161(C).
    2. Alola, Andrew Adewale, 2022. "The nexus of renewable energy equity and agricultural commodities in the United States: Evidence of regime-switching and price bubbles," Energy, Elsevier, vol. 239(PD).
    3. Kassouri, Yacouba, 2022. "Boom-bust cycles in oil consumption: The role of explosive bubbles and asymmetric adjustments," Energy Economics, Elsevier, vol. 111(C).
    4. 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).
    5. Xiao, Jihong & Wen, Fenghua & He, Zhifang, 2023. "Impact of geopolitical risks on investor attention and speculation in the oil market: Evidence from nonlinear and time-varying analysis," Energy, Elsevier, vol. 267(C).
    6. Dinçer, Hasan & Yüksel, Serhat & Hacioglu, Umit & Yilmaz, Mustafa K. & Delen, Dursun, 2023. "Development of a sustainable corporate social responsibility index for performance evaluation of the energy industry: A hybrid decision-making methodology," Resources Policy, Elsevier, vol. 85(PA).
    7. Kassouri, Yacouba & Altıntaş, Halil, 2022. "The quantile dependence of the stock returns of “clean” and “dirty” firms on oil demand and supply shocks," Journal of Commodity Markets, Elsevier, vol. 28(C).
    8. 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).
    9. Alola, Andrew Adewale & Özkan, Oktay & Usman, Ojonugwa, 2023. "Examining crude oil price outlook amidst substitute energy price and household energy expenditure in the USA: A novel nonparametric multivariate QQR approach," Energy Economics, Elsevier, vol. 120(C).
    10. Zeyi Fu & Hongli Niu & Weiqing Wang, 2023. "Market Efficiency and Cross-Correlations of Chinese New Energy Market with Other Assets: Evidence from Multifractality Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 1287-1311, October.
    11. Xiaohong Qi & Guofu Zhang & Yuqi Wang, 2022. "Distributional Predictability and Quantile Connectedness of New Energy, Steam Coal, and High-Tech in China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.

    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. Kassouri, Yacouba & Altıntaş, Halil, 2022. "The quantile dependence of the stock returns of “clean” and “dirty” firms on oil demand and supply shocks," Journal of Commodity Markets, Elsevier, vol. 28(C).
    3. 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).
    4. Si Mohammed, Kamel & Khalfaoui, Rabeh & Doğan, Buhari & Sharma, Gagan Deep & Mentel, Urszula, 2023. "The reaction of the metal and gold resource planning in the post-COVID-19 era and Russia-Ukrainian conflict: Role of fossil fuel markets for portfolio hedging strategies," Resources Policy, Elsevier, vol. 83(C).
    5. 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.
    6. 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).
    7. Coşkun Akdeniz, 2021. "Construction of the Monetary Conditions Index with TVP-VAR Model: Empirical Evidence for Turkish Economy," Springer Books, in: Burcu Adıgüzel Mercangöz (ed.), Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics, edition 1, pages 215-228, Springer.
    8. Kang, Sang Hoon & Islam, Faridul & Kumar Tiwari, Aviral, 2019. "The dynamic relationships among CO2 emissions, renewable and non-renewable energy sources, and economic growth in India: Evidence from time-varying Bayesian VAR model," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 90-101.
    9. Jebabli, Ikram & Arouri, Mohamed & Teulon, Frédéric, 2014. "On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVP-VAR models with stochastic volatility," Energy Economics, Elsevier, vol. 45(C), pages 66-98.
    10. Jiang, Yonghong & Wang, Jieru & Lie, Jiayi & Mo, Bin, 2021. "Dynamic dependence nexus and causality of the renewable energy stock markets on the fossil energy markets," Energy, Elsevier, vol. 233(C).
    11. Hemrit, Wael & Benlagha, Noureddine, 2021. "Does renewable energy index respond to the pandemic uncertainty?," Renewable Energy, Elsevier, vol. 177(C), pages 336-347.
    12. Geng, Jiang-Bo & Liu, Changyu & Ji, Qiang & Zhang, Dayong, 2021. "Do oil price changes really matter for clean energy returns?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    13. Degiannakis, Stavros & Filis, George & Panagiotakopoulou, Sofia, 2018. "Oil price shocks and uncertainty: How stable is their relationship over time?," Economic Modelling, Elsevier, vol. 72(C), pages 42-53.
    14. Morita, Hiroshi, 2015. "Japanese Fiscal Policy under the Zero Lower Bound of Nominal Interest Rates: Time-Varying Parameters Vector Autoregression," Discussion Paper Series 627, Institute of Economic Research, Hitotsubashi University.
    15. Dutta, Anupam & Dutta, Probal, 2022. "Geopolitical risk and renewable energy asset prices: Implications for sustainable development," Renewable Energy, Elsevier, vol. 196(C), pages 518-525.
    16. Rehman, Mobeen Ur & Raheem, Ibrahim D. & Zeitun, Rami & Vo, Xuan Vinh & Ahmad, Nasir, 2023. "Do oil shocks affect the green bond market?," Energy Economics, Elsevier, vol. 117(C).
    17. 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).
    18. Iiboshi, Hirokuni & Iwata, Yasuharu & Kajita, Yuto & Soma, Naoto, 2019. "Time-varying Fiscal Multipliers Identified by Systematic Component: A Bayesian Approach to TVP-SVAR model," MPRA Paper 92631, University Library of Munich, Germany.
    19. 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.
    20. Azhgaliyeva, Dina & Mishra, Ranjeeta & Kapsalyamova, Zhanna, 2021. "Oil Price Shocks and Green Bonds: A Longitudinal Multilevel Model," ADBI Working Papers 1278, Asian Development Bank Institute.

    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:energy:v:232:y:2021:i:c:s036054422101269x. 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.journals.elsevier.com/energy .

    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.