IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v8y2020i6p952-d369511.html
   My bibliography  Save this article

Did Institutional Investors’ Behavior Affect U.S.-China Equity Market Sentiment? Evidence from the U.S.-China Trade Turbulence

Author

Listed:
  • Shu-Ling Lin

    (Department of Information and Finance Management, College of Management, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Jun Lu

    (College of Management, National Taipei University of Technology, Taipei 10608, Taiwan)

Abstract

In the current situation of U.S.-China trade turbulence, this study focuses on quarterly panel data from May 2016 to September 2019 in order to verify the effectiveness of feedback trading strategy and smart money theory in stabilizing U.S.-China securities markets and to understand the role of institutional investors’ behavior, to come up with suggestions for improving and perfecting the market mechanism in stabilizing the U.S.-China securities markets. In this study, we adopt the generalized method of moments (GMM) to perform dynamic panel data analysis and discuss the changes in professional institutional investors’ behavior and equity market sentiment in the U.S. and China during the trade turbulence, and then analyze whether that behavior will suppress local stock market sentiment. Through empirical research, we found that institutional investors on both sides of the trade turbulence have a different impact on the stability of the local securities market. The behavior of institutional investors in the United States has played a role in stabilizing equity market sentiment in accordance with feedback trading strategy and smart money theory. However, the behavior of institutional investors in China is the opposite.

Suggested Citation

  • Shu-Ling Lin & Jun Lu, 2020. "Did Institutional Investors’ Behavior Affect U.S.-China Equity Market Sentiment? Evidence from the U.S.-China Trade Turbulence," Mathematics, MDPI, vol. 8(6), pages 1-17, June.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:6:p:952-:d:369511
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/8/6/952/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/8/6/952/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Korkeamäki, Timo & Virk, Nader & Wang, Haizhi & Wang, Peng, 2019. "Learning Chinese? The changing investment behavior of foreign institutions in the Chinese stock market," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 190-203.
    2. Feng, Xunan & Zhou, Mingshan & Chan, Kam C., 2014. "Smart money or dumb money? A study on the selection ability of mutual fund investors in China," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 154-170.
    3. West, Kenneth D, 1988. "Dividend Innovations and Stock Price Volatility," Econometrica, Econometric Society, vol. 56(1), pages 37-61, January.
    4. Li, Donghui & Nguyen, Quang N. & Pham, Peter K. & Wei, Steven X., 2011. "Large Foreign Ownership and Firm-Level Stock Return Volatility in Emerging Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(4), pages 1127-1155, August.
    5. Baur, Dirk G. & McDermott, Thomas K., 2010. "Is gold a safe haven? International evidence," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1886-1898, August.
    6. Lu Zheng, 1999. "Is Money Smart? A Study of Mutual Fund Investors' Fund Selection Ability," Journal of Finance, American Finance Association, vol. 54(3), pages 901-933, June.
    7. Ron Kaniel & Gideon Saar & Sheridan Titman, 2008. "Individual Investor Trading and Stock Returns," Journal of Finance, American Finance Association, vol. 63(1), pages 273-310, February.
    8. Travis Sapp & Ashish Tiwari, 2004. "Does Stock Return Momentum Explain the "Smart Money" Effect?," Journal of Finance, American Finance Association, vol. 59(6), pages 2605-2622, December.
    9. Zhijun Feng & Wen Zhou & Qian Ming, 2019. "Embodied Energy Flow Patterns of the Internal and External Industries of Manufacturing in China," Sustainability, MDPI, vol. 11(2), pages 1-24, January.
    10. Renault, Thomas, 2017. "Intraday online investor sentiment and return patterns in the U.S. stock market," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 25-40.
    11. Dirk G. Baur & Brian M. Lucey, 2010. "Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold," The Financial Review, Eastern Finance Association, vol. 45(2), pages 217-229, May.
    12. Thomas Renault, 2017. "Intraday online investor sentiment and return patterns in the U.S. stock market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03205113, HAL.
    13. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    14. Muñoz, Fernando & Vargas, María & Vicente, Ruth, 2014. "Fund flow bias in market timing skill. Evidence of the clientele effect," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 257-269.
    15. Zhang, Yongjie & Cao, Xing & He, Feng & Zhang, Wei, 2017. "Network topology analysis approach on China’s QFII stock investment behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 77-88.
    16. Monique Carvalho & André Azevedo & Angélica Massuquetti, 2019. "Emerging Countries and the Effects of the Trade War between US and China," Economies, MDPI, vol. 7(2), pages 1-21, May.
    17. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    18. Feng, Xunan & Hu, Na & Johansson, Anders C., 2016. "Ownership, analyst coverage, and stock synchronicity in China," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 79-96.
    19. Arindam Bandopadhyaya & Anne Leah Jones, 2006. "Measuring investor sentiment in equity markets," Journal of Asset Management, Palgrave Macmillan, vol. 7(3), pages 208-215, September.
    20. David Hirshleifer & Siew Hong Teoh, 2003. "Herd Behaviour and Cascading in Capital Markets: a Review and Synthesis," European Financial Management, European Financial Management Association, vol. 9(1), pages 25-66, March.
    21. Zou, Liping & Tang, Tiantian & Li, Xiaoming, 2016. "The stock preferences of domestic versus foreign investors: Evidence from Qualified Foreign Institutional Investors (QFIIs) in China," Journal of Multinational Financial Management, Elsevier, vol. 37, pages 12-28.
    22. Hirshleifer, David & Subrahmanyam, Avanidhar & Titman, Sheridan, 1994. "Security Analysis and Trading Patterns When Some Investors Receive Information before Others," Journal of Finance, American Finance Association, vol. 49(5), pages 1665-1698, December.
    23. Grinblatt, Mark & Keloharju, Matti, 2000. "The investment behavior and performance of various investor types: a study of Finland's unique data set," Journal of Financial Economics, Elsevier, vol. 55(1), pages 43-67, January.
    24. Aggarwal, Reena & Erel, Isil & Ferreira, Miguel & Matos, Pedro, 2011. "Does governance travel around the world? Evidence from institutional investors," Journal of Financial Economics, Elsevier, vol. 100(1), pages 154-181, April.
    25. Walid M.A. Ahmed, 2014. "The trading patterns and performance of individualvis-à-visinstitutional investors in the Qatar Exchange," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 13(1), pages 24-42, February.
    26. Baek, In-Mee & Bandopadhyaya, Arindam & Du, Chan, 2005. "Determinants of market-assessed sovereign risk: Economic fundamentals or market risk appetite?," Journal of International Money and Finance, Elsevier, vol. 24(4), pages 533-548, June.
    27. Shu Ling Lin & Jun Lu & Jung-Bin Su & Wei-Peng Chen, 2018. "Sustainable Returns: The Effect of Regional Industrial Development Policy on Institutional Investors’ Behavior in China," Sustainability, MDPI, vol. 10(8), pages 1-28, August.
    28. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    29. Barry Eichengreen & Ashoka Mody, 1998. "Interest Rates in the North and Capital Flows to the South: Is There a Missing Link?," International Finance, Wiley Blackwell, vol. 1(1), pages 35-57, October.
    30. Shu-Ling Lin & Jun Lu, 2019. "Institutional Investors and Corporate Performance: Insights from China," Sustainability, MDPI, vol. 11(21), pages 1-26, October.
    31. Ferreira, Miguel A. & Matos, Pedro, 2008. "The colors of investors' money: The role of institutional investors around the world," Journal of Financial Economics, Elsevier, vol. 88(3), pages 499-533, June.
    32. Zhang, Dayong & Lei, Lei & Ji, Qiang & Kutan, Ali M., 2019. "Economic policy uncertainty in the US and China and their impact on the global markets," Economic Modelling, Elsevier, vol. 79(C), pages 47-56.
    33. Lin, Ji-Chai & Lee, Yi-Tsung & Liu, Yu-Jane, 2007. "IPO auctions and private information," Journal of Banking & Finance, Elsevier, vol. 31(5), pages 1483-1500, May.
    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. Shu-Ling Lin & Jun Lu, 2019. "Institutional Investors and Corporate Performance: Insights from China," Sustainability, MDPI, vol. 11(21), pages 1-26, October.
    2. Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
    3. Masahiro Watanabe, 2002. "Price Volatility and Investor Behavior in an Overlapping Generations Model with Information Asymmetry," Yale School of Management Working Papers amz2636, Yale School of Management, revised 01 Jul 2002.
    4. Matthijs Lof, 2015. "Rational Speculators, Contrarians, and Excess Volatility," Management Science, INFORMS, vol. 61(8), pages 1889-1901, August.
    5. Charteris, Ailie & Kallinterakis, Vasileios, 2021. "Feedback trading in retail-dominated assets: Evidence from the gold bullion coin market," International Review of Financial Analysis, Elsevier, vol. 75(C).
    6. Hirshleifer, David & Teoh, Siew Hong, 2008. "Thought and Behavior Contagion in Capital Markets," MPRA Paper 9164, University Library of Munich, Germany.
    7. Guo, Liang, 2016. "Are U.S. investors blindly chasing returns in foreign countries?," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 309-334.
    8. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    9. Goldbaum, David, 2008. "Coordinated investing with feedback and learning," Journal of Economic Behavior & Organization, Elsevier, vol. 65(2), pages 202-223, February.
    10. Ødegaard, Bernt Arne, 2009. "Who moves stock prices? Monthly evidence," UiS Working Papers in Economics and Finance 2009/4, University of Stavanger.
    11. Stephen Foerster, 2011. "Double then Nothing: Why Stock Investments Relying on Simple Heuristics May Disappoint," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 3(2), pages 115-140, September.
    12. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    13. He, Lerong & Huang, Liying & Fang, Liting, 2022. "Institutional conditions, economic policy uncertainty and foreign institutional investment in China," Emerging Markets Review, Elsevier, vol. 50(C).
    14. Che, Limei, 2018. "Investor types and stock return volatility," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 139-161.
    15. Economou, Fotini & Gavriilidis, Konstantinos & Goyal, Abhinav & Kallinterakis, Vasileios, 2015. "Herding dynamics in exchange groups: Evidence from Euronext," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 228-244.
    16. Hung, Weifeng, 2014. "Institutional trading and attention bias," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 71-91.
    17. Simões Vieira, Elisabete F. & Valente Pereira, Márcia S., 2015. "Herding behaviour and sentiment: Evidence in a small European market," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(1), pages 78-86.
    18. Kremer, Stephanie & Nautz, Dieter, 2013. "Causes and consequences of short-term institutional herding," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1676-1686.
    19. Zhang, Jinhua & Mao, Rui & Wang, Jieyu & Xing, Mengying, 2021. "The way back home: Trading behaviours of foreign institutional investors in China amid the COVID-19 pandemic," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    20. Lof, Matthijs, 2013. "Essays on Expectations and the Econometrics of Asset Pricing," MPRA Paper 59064, University Library of Munich, Germany.

    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:gam:jmathe:v:8:y:2020:i:6:p:952-:d:369511. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.