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The limited role of stock market in financing new energy development in China: An investigation using firms’ high-frequency data

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  • Zheng, Biao
  • Zhang, Yuquan W.
  • Yin, Haitao
  • Geng, Yong

Abstract

China has set ambitious goals to peak carbon emissions by 2030 and to achieve carbon neutrality by 2060, which will inevitably accelerate the transition from conventional fossil energy to new energy. However, the financing problem may be a major concern for the development of new energy. In this study, by employing the asymmetric spillover measurement, the financing performance of new energy stock market in China is investigated. Specifically, 5-minute intraday high-frequency data of 66 listed firms, selected to represent the field, are used. The new energy stocks are also divided into six categories, including photovoltaic power, nuclear power, new energy vehicles, lithium batteries, wind power, and new energy equipment and materials. The results suggest that the new energy stock market in China is much riskier than the large cap stock market. The investors in this stock market are sensitive to negative news and tend to be speculative in short-term, rather than to focus on the development of new energy sector in the long run. Policy implications and suggestions are thereupon derived for different types of stakeholders.

Suggested Citation

  • Zheng, Biao & Zhang, Yuquan W. & Yin, Haitao & Geng, Yong, 2021. "The limited role of stock market in financing new energy development in China: An investigation using firms’ high-frequency data," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 651-667.
    • Handle: RePEc:eee:ecanpo:v:72:y:2021:i:c:p:651-667
    DOI: 10.1016/j.eap.2021.10.004
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    as
    1. Andersen T. G & Bollerslev T. & Diebold F. X & Labys P., 2001. "The Distribution of Realized Exchange Rate Volatility," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 42-55, March.
    2. Segal, Gill & Shaliastovich, Ivan & Yaron, Amir, 2015. "Good and bad uncertainty: Macroeconomic and financial market implications," Journal of Financial Economics, Elsevier, vol. 117(2), pages 369-397.
    3. 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).
    4. Wang, Xunxiao & Wu, Chongfeng, 2018. "Asymmetric volatility spillovers between crude oil and international financial markets," Energy Economics, Elsevier, vol. 74(C), pages 592-604.
    5. 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.
    6. He, Zhifang, 2020. "Dynamic impacts of crude oil price on Chinese investor sentiment: Nonlinear causality and time-varying effect," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 131-153.
    7. Geng, Jiang-Bo & Du, Ya-Juan & Ji, Qiang & Zhang, Dayong, 2021. "Modeling return and volatility spillover networks of global new energy companies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    8. Yu, Chin-Hsien & Wu, Xiuqin & Zhang, Dayong & Chen, Shi & Zhao, Jinsong, 2021. "Demand for green finance: Resolving financing constraints on green innovation in China," Energy Policy, Elsevier, vol. 153(C).
    9. Chen, Yufeng & Zheng, Biao & Qu, Fang, 2020. "Modeling the nexus of crude oil, new energy and rare earth in China: An asymmetric VAR-BEKK (DCC)-GARCH approach," Resources Policy, Elsevier, vol. 65(C).
    10. Hulshof, Daan & Jepma, Catrinus & Mulder, Machiel, 2019. "Performance of markets for European renewable energy certificates," Energy Policy, Elsevier, vol. 128(C), pages 697-710.
    11. Wang, Ying & Zhang, Dayong & Ji, Qiang & Shi, Xunpeng, 2020. "Regional renewable energy development in China: A multidimensional assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    12. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2016. "Asymmetric connectedness on the U.S. stock market: Bad and good volatility spillovers," Journal of Financial Markets, Elsevier, vol. 27(C), pages 55-78.
    13. 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).
    14. Xu, Weiju & Ma, Feng & Chen, Wang & Zhang, Bing, 2019. "Asymmetric volatility spillovers between oil and stock markets: Evidence from China and the United States," Energy Economics, Elsevier, vol. 80(C), pages 310-320.
    15. 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.
    16. Ole E. Barndorff‐Nielsen & Neil Shephard, 2002. "Econometric analysis of realized volatility and its use in estimating stochastic volatility models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(2), pages 253-280, May.
    17. Shen, Jianfei & Luo, Chen, 2015. "Overall review of renewable energy subsidy policies in China – Contradictions of intentions and effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1478-1488.
    18. Correia-da-Silva, João & Soares, Isabel & Fernández, Raquel, 2020. "Impact of dynamic pricing on investment in renewables," Energy, Elsevier, vol. 202(C).
    19. 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.
    20. Xi Lu & Michael B. McElroy & Wei Peng & Shiyang Liu & Chris P. Nielsen & Haikun Wang, 2016. "Challenges faced by China compared with the US in developing wind power," Nature Energy, Nature, vol. 1(6), pages 1-6, June.
    21. Hung, Pi-Hsia, 2016. "Investor sentiment, order submission, and investment performance on the Taiwan Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 124-140.
    22. Zhang, Sufang & Andrews-Speed, Philip & Zhao, Xiaoli & He, Yongxiu, 2013. "Interactions between renewable energy policy and renewable energy industrial policy: A critical analysis of China's policy approach to renewable energies," Energy Policy, Elsevier, vol. 62(C), pages 342-353.
    23. Ji, Qiang & Zhang, Dayong, 2019. "How much does financial development contribute to renewable energy growth and upgrading of energy structure in China?," Energy Policy, Elsevier, vol. 128(C), pages 114-124.
    24. Ng, Thiam Hee & Tao, Jacqueline Yujia, 2016. "Bond financing for renewable energy in Asia," Energy Policy, Elsevier, vol. 95(C), pages 509-517.
    25. Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2019. "Firm-specific investor sentiment and daily stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    26. Xu, Weiju & Wang, Jiqian & Ma, Feng & Lu, Xinjie, 2019. "Forecast the realized range-based volatility: The role of investor sentiment and regime switching," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C).
    27. Bohl, Martin T. & Kaufmann, Philipp & Stephan, Patrick M., 2013. "From hero to zero: Evidence of performance reversal and speculative bubbles in German renewable energy stocks," Energy Economics, Elsevier, vol. 37(C), pages 40-51.
    28. 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.
    29. Alam, Md. Samsul & Shahzad, Syed Jawad Hussain & Ferrer, Román, 2019. "Causal flows between oil and forex markets using high-frequency data: Asymmetries from good and bad volatility," Energy Economics, Elsevier, vol. 84(C).
    30. Wen, Xiaoqian & Guo, Yanfeng & Wei, Yu & Huang, Dengshi, 2014. "How do the stock prices of new energy and fossil fuel companies correlate? Evidence from China," Energy Economics, Elsevier, vol. 41(C), pages 63-75.
    31. 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.
    32. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    33. Luo, Jiawen & Wang, Shengquan, 2019. "The asymmetric high-frequency volatility transmission across international stock markets," Finance Research Letters, Elsevier, vol. 31(C), pages 104-109.
    34. Song, Yingjie & Ji, Qiang & Du, Ya-Juan & Geng, Jiang-Bo, 2019. "The dynamic dependence of fossil energy, investor sentiment and renewable energy stock markets," Energy Economics, Elsevier, vol. 84(C).
    35. Apergis, Nicholas & Baruník, Jozef & Lau, Marco Chi Keung, 2017. "Good volatility, bad volatility: What drives the asymmetric connectedness of Australian electricity markets?," Energy Economics, Elsevier, vol. 66(C), pages 108-115.
    36. Reboredo, Juan C. & Ugolini, Andrea, 2018. "The impact of Twitter sentiment on renewable energy stocks," Energy Economics, Elsevier, vol. 76(C), pages 153-169.
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