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Coal price shocks, investor sentiment, and stock market returns

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  • Liu, Zhenhua
  • Chen, Shumin
  • Zhong, Hongyu
  • Ding, Zhihua

Abstract

The development of energy finance and the financialization of bulk commodities has deepened the financial attributes of coal, resulting in coal price shocks not only affecting the macroeconomy through the production sector, but also further affecting the financial market. This study investigates the dynamic impacts of coal price shocks on stock market returns accounting for the macroeconomic path by using a time-varying parameter vector autoregressive with stochastic volatility (TVP-SV-VAR) model, as well as examines the role of investor sentiment in the transmission of coal price shocks to the stock market. The results show that coal price shocks have a significant negative impact on Chinese stock market returns, but the impact degree is time-varying, particularly larger during economic downturns. Moreover, individual investor sentiment provides an important channel in the transmission of coal price shocks to the stock market. Insights gleaned from the findings in this study are useful for coal industry regulation policy formulation, market investment decision-making and energy market risk management.

Suggested Citation

  • Liu, Zhenhua & Chen, Shumin & Zhong, Hongyu & Ding, Zhihua, 2024. "Coal price shocks, investor sentiment, and stock market returns," Energy Economics, Elsevier, vol. 135(C).
  • Handle: RePEc:eee:eneeco:v:135:y:2024:i:c:s014098832400327x
    DOI: 10.1016/j.eneco.2024.107619
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    1. Ding, Zhihua & Liu, Zhenhua & Zhang, Yuejun & Long, Ruyin, 2017. "The contagion effect of international crude oil price fluctuations on Chinese stock market investor sentiment," Applied Energy, Elsevier, vol. 187(C), pages 27-36.
    2. Benkraiem, Ramzi & Lahiani, Amine & Miloudi, Anthony & Shahbaz, Muhammad, 2018. "New insights into the US stock market reactions to energy price shocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 169-187.
    3. Guo, Jiaqi & Long, Shaobo & Luo, Weijie, 2022. "Nonlinear effects of climate policy uncertainty and financial speculation on the global prices of oil and gas," International Review of Financial Analysis, Elsevier, vol. 83(C).
    4. Al-Nasseri, Alya & Menla Ali, Faek & Tucker, Allan, 2021. "Investor sentiment and the dispersion of stock returns: Evidence based on the social network of investors," International Review of Financial Analysis, Elsevier, vol. 78(C).
    5. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    6. Li, Jinfang, 2020. "The momentum and reversal effects of investor sentiment on stock prices," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    7. Liu, Tangyong & Gong, Xu, 2020. "Analyzing time-varying volatility spillovers between the crude oil markets using a new method," Energy Economics, Elsevier, vol. 87(C).
    8. Vozlyublennaia, Nadia, 2014. "Investor attention, index performance, and return predictability," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 17-35.
    9. Shen, Junyan & Yu, Jianfeng & Zhao, Shen, 2017. "Investor sentiment and economic forces," Journal of Monetary Economics, Elsevier, vol. 86(C), pages 1-21.
    10. Deng, Chuang & Zhao, Xiuyi & Xu, Man, 2022. "Financial cycle and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 47(PA).
    11. Apergis, Nicholas & Miller, Stephen M., 2009. "Do structural oil-market shocks affect stock prices?," Energy Economics, Elsevier, vol. 31(4), pages 569-575, July.
    12. R. David Mclean & Mengxin Zhao, 2014. "The Business Cycle, Investor Sentiment, and Costly External Finance," Journal of Finance, American Finance Association, vol. 69(3), pages 1377-1409, June.
    13. Veli Yilanci & Onder Ozgur & Muhammed Sehid Gorus, 2021. "Stock prices and economic activity nexus in OECD countries: new evidence from an asymmetric panel Granger causality test in the frequency domain," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-22, December.
    14. Kurov, Alexander, 2010. "Investor sentiment and the stock market's reaction to monetary policy," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 139-149, January.
    15. Marco Del Negro & Giorgio E. Primiceri, 2015. "Time Varying Structural Vector Autoregressions and Monetary Policy: A Corrigendum," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1342-1345.
    16. Guo, Jin & Zheng, Xinye & Chen, Zhan-Ming, 2016. "How does coal price drive up inflation? Reexamining the relationship between coal price and general price level in China," Energy Economics, Elsevier, vol. 57(C), pages 265-276.
    17. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    18. Haiyuan Yin & Xingying Wu & Sophie X Kong, 2022. "Daily investor sentiment, order flow imbalance and stock liquidity: evidence from the Chinese stock market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4816-4836, October.
    19. 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.
    20. Marco Del Negro & Giorgio E. Primiceri, 2015. "Time Varying Structural Vector Autoregressions and Monetary Policy: A Corrigendum," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1342-1345.
    21. Jinfang Li, 2015. "The asymmetric effects of investor sentiment and monetary policy on stock prices," Applied Economics, Taylor & Francis Journals, vol. 47(24), pages 2514-2522, May.
    22. Zheng, Gaoping & Wang, Shuxun & Xu, Yongxin, 2018. "Monetary stimulation, bank relationship and innovation: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 89(C), pages 237-248.
    23. Lin, Boqiang & Chen, Yufang, 2019. "Dynamic linkages and spillover effects between CET market, coal market and stock market of new energy companies: A case of Beijing CET market in China," Energy, Elsevier, vol. 172(C), pages 1198-1210.
    24. Weiguo Zhang & Xue Gong & Chao Wang & Xin Ye, 2021. "Predicting stock market volatility based on textual sentiment: A nonlinear analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1479-1500, December.
    25. Dashan Huang & Fuwei Jiang & Jun Tu & Guofu Zhou, 2015. "Investor Sentiment Aligned: A Powerful Predictor of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 791-837.
    26. Yunqi Fan & Fangzhao Zhou & Yunbi An & Jun Yang, 2021. "Investor Sentiment and Stock Price Crash Risk: Evidence from China," Global Economic Review, Taylor & Francis Journals, vol. 50(4), pages 310-339, October.
    27. 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.
    28. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    29. Chi-Wei Su & Jiao-Jiao Fan & Hsu-Ling Chang & Xiao-Lin Li, 2016. "Is there Causal Relationship between Money Supply Growth and Inflation in China? Evidence from Quantity Theory of Money," Review of Development Economics, Wiley Blackwell, vol. 20(3), pages 702-719, August.
    30. Cheong, Tsun Se & Wu, Yanrui, 2018. "Convergence and transitional dynamics of China's industrial output: A county-level study using a new framework of distribution dynamics analysis," China Economic Review, Elsevier, vol. 48(C), pages 125-138.
    31. Wang, Wenzhao & Su, Chen & Duxbury, Darren, 2022. "The conditional impact of investor sentiment in global stock markets: A two-channel examination," Journal of Banking & Finance, Elsevier, vol. 138(C).
    32. Jinfang Li, 2021. "The term structure effects of individual stock investor sentiment on excess returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1695-1705, April.
    33. Shuming Liu, 2015. "Investor Sentiment and Stock Market Liquidity," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 16(1), pages 51-67, January.
    34. Asadi, Mehrad & Roubaud, David & Tiwari, Aviral Kumar, 2022. "Volatility spillovers amid crude oil, natural gas, coal, stock, and currency markets in the US and China based on time and frequency domain connectedness," Energy Economics, Elsevier, vol. 109(C).
    35. Fenghua Wen & Feng Min & Yue‐Jun Zhang & Can Yang, 2019. "Crude oil price shocks, monetary policy, and China's economy," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(2), pages 812-827, April.
    36. Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
    37. Li, Yan & Li, Weiping, 2021. "Firm-specific investor sentiment for the Chinese stock market," Economic Modelling, Elsevier, vol. 97(C), pages 231-246.
    38. Wang, Gang-Jin & Xiong, Lu & Zhu, You & Xie, Chi & Foglia, Matteo, 2022. "Multilayer network analysis of investor sentiment and stock returns," Research in International Business and Finance, Elsevier, vol. 62(C).
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    2. Liu, Zhenhua & Wang, Yushu & Yuan, Xinting & Ding, Zhihua & Ji, Qiang, 2025. "Geopolitical risk and vulnerability of energy markets," Energy Economics, Elsevier, vol. 141(C).
    3. Jingye Lyu & Chong Li & Wenwen Zhou & Jinsuo Zhang, 2024. "Sensitivity Analysis of Factors Influencing Coal Prices in China," Mathematics, MDPI, vol. 12(24), pages 1-27, December.

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