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China-U.S. Trade Frictions, Opinion Divergence, and Stock Volatilities

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  • Wenjia Zhang

Abstract

China-US economic relation is of particular significance to the world economy. This paper aims to investigate how trade frictions influence Chinese stock market volatilities. Overall, trade frictions significantly increase large stocks' volatilities, whereas influences the SMEs differently before and after the 301 investigation. For the big caps (SSE50), opinion divergence has a partial mediation effect between trade frictions and market volatilities. Trade frictions lead to higher opinion divergence, and opinion divergence reduces market volatility before the 301 investigation and increases market volatility in Stages IV and V. This result is robust after controlling the endogeneity of opinion divergence. For the small caps (SMEs), the mediation effect has not been founddetected, but opinion divergence significantly influences stock volatility, negative before the Section 301 investigation, whereas positive after that.

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  • Wenjia Zhang, 2021. "China-U.S. Trade Frictions, Opinion Divergence, and Stock Volatilities," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(6), pages 1-19, June.
    • Handle: RePEc:ibn:ijefaa:v:13:y:2021:i:6:p:19
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    References listed on IDEAS

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    1. Shalen, Catherine T, 1993. "Volume, Volatility, and the Dispersion of Beliefs," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 405-434.
    2. Cao, Melanie & Wei, Jason, 2005. "Stock market returns: A note on temperature anomaly," Journal of Banking & Finance, Elsevier, vol. 29(6), pages 1559-1573, June.
    3. Lopatta, Kerstin & Kaspereit, Thomas, 2014. "The cross-section of returns, benchmark model parameters, and idiosyncratic volatility of nuclear energy firms after Fukushima Daiichi," Energy Economics, Elsevier, vol. 41(C), pages 125-136.
    4. Joel Peress, 2014. "The Media and the Diffusion of Information in Financial Markets: Evidence from Newspaper Strikes," Journal of Finance, American Finance Association, vol. 69(5), pages 2007-2043, October.
    5. Jiaxing You & Bohui Zhang & Le Zhang, 2018. "Who Captures the Power of the Pen?," The Review of Financial Studies, Society for Financial Studies, vol. 31(1), pages 43-96.
    6. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    7. Tarun K. Mukherjee & Atsuyuki Naka, 1995. "Dynamic Relations Between Macroeconomic Variables And The Japanese Stock Market: An Application Of A Vector Error Correction Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 18(2), pages 223-237, June.
    8. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
    9. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    10. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    11. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    12. Eric C. Chang & Joseph W. Cheng & Yinghui Yu, 2007. "Short‐Sales Constraints and Price Discovery: Evidence from the Hong Kong Market," Journal of Finance, American Finance Association, vol. 62(5), pages 2097-2121, October.
    13. Arin, K. Peren & Ciferri, Davide & Spagnolo, Nicola, 2008. "The price of terror: The effects of terrorism on stock market returns and volatility," Economics Letters, Elsevier, vol. 101(3), pages 164-167, December.
    14. Capelle-Blancard, Gunther & Laguna, Marie-Aude, 2010. "How does the stock market respond to chemical disasters?," Journal of Environmental Economics and Management, Elsevier, vol. 59(2), pages 192-205, March.
    15. John R. Nofsinger & Richard W. Sias, 1999. "Herding and Feedback Trading by Institutional and Individual Investors," Journal of Finance, American Finance Association, vol. 54(6), pages 2263-2295, December.
    16. Mukherjee, Tarun K & Naka, Atsuyuki, 1995. "Dynamic Relations between Macroeconomic Variables and the Japanese Stock Market: An Application of a Vector Error Correction Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 18(2), pages 223-237, Summer.
    17. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    18. Maysami, Ramin Cooper & Koh, Tiong Sim, 2000. "A vector error correction model of the Singapore stock market," International Review of Economics & Finance, Elsevier, vol. 9(1), pages 79-96, February.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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