IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/24346.html
   My bibliography  Save this paper

Chinese Capital Market: An Empirical Overview

Author

Listed:
  • Grace Xing Hu
  • Jun Pan
  • Jiang Wang

Abstract

The Chinese capital market, despite its relative short history in its modern form, has experienced a tremendous growth and is now the second largest in the world. Due to China's tight capital controls, the development of its capital market has mostly been isolated from and hence not been well understood by the rest of the world. Yet, this state of isolation is bound to change substantially as China becomes more integrated into the global financial system. In this paper, we provide an empirical overview of the Chinese capital market: its historical development and main empirical characteristics.

Suggested Citation

  • Grace Xing Hu & Jun Pan & Jiang Wang, 2018. "Chinese Capital Market: An Empirical Overview," NBER Working Papers 24346, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:24346
    Note: AP IFM
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w24346.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    2. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    3. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    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. Gu, Tianqi & Kim, Inhi & Currie, Graham, 2019. "To be or not to be dockless: Empirical analysis of dockless bikeshare development in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 122-147.
    2. Markus K Brunnermeier & Michael Sockin & Wei Xiong, 2022. "China’s Model of Managing the Financial System [Beauty Contests and Iterated Expectations in Asset Markets]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(6), pages 3115-3153.
    3. Tomasz Dziawgo, 2021. "Big Tech Influence on China Financial Sector," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 1110-1120.
    4. Zhong-Qiang Zhou & Jie Li & Wei Zhang & Xiong Xiong, 2022. "Government intervention model based on behavioral heterogeneity for China’s stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-19, December.
    5. Cong, Lin William & Lee, Charles M.C. & Qu, Yuanyu & Tao, Shen, 2020. "Financing Entrepreneurship and Innovation in China," Foundations and Trends(R) in Entrepreneurship, now publishers, vol. 16(1), pages 1-64, January.
    6. Markus K. Brunnermeier & Michael Sockin & Wei Xiong, 2020. "China’s Model of Managing the Financial System," Working Papers 2020-45, Princeton University. Economics Department..
    7. Liu, Chenye & Wu, Ying & Zhu, Dongming, 2022. "Price overreaction to up-limit events and revised momentum strategies in the Chinese stock market," Economic Modelling, Elsevier, vol. 114(C).
    8. Cheng, Hang & Shi, Yongdong, 2020. "Forecasting China's stock market variance," Pacific-Basin Finance Journal, Elsevier, vol. 64(C).
    9. David Blitz & Matthias X. Hanauer & Pim Vliet, 2021. "The Volatility Effect in China," Journal of Asset Management, Palgrave Macmillan, vol. 22(5), pages 338-349, September.

    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. Constantinos Antoniou & John A. Doukas & Avanidhar Subrahmanyam, 2016. "Investor Sentiment, Beta, and the Cost of Equity Capital," Management Science, INFORMS, vol. 62(2), pages 347-367, February.
    2. Eero Pätäri & Timo Leivo, 2017. "A Closer Look At Value Premium: Literature Review And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 79-168, February.
    3. Turan G. Bali & Robert F. Engle & Yi Tang, 2017. "Dynamic Conditional Beta Is Alive and Well in the Cross Section of Daily Stock Returns," Management Science, INFORMS, vol. 63(11), pages 3760-3779, November.
    4. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    5. Horowitz, Joel L. & Loughran, Tim & Savin, N. E., 2000. "The disappearing size effect," Research in Economics, Elsevier, vol. 54(1), pages 83-100, March.
    6. Zura Kakushadze, 2014. "4-Factor Model for Overnight Returns," Papers 1410.5513, arXiv.org, revised Jun 2015.
    7. Tim Bollerslev & Sophia Zhengzi Li & Viktor Todorov, 2014. "Roughing up Beta: Continuous vs. Discontinuous Betas, and the Cross-Section of Expected Stock Returns," CREATES Research Papers 2014-48, Department of Economics and Business Economics, Aarhus University.
    8. Tai, Chu-Sheng, 2003. "Are Fama-French and momentum factors really priced?," Journal of Multinational Financial Management, Elsevier, vol. 13(4-5), pages 359-384, December.
    9. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2017. "Research in finance: A review of influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 188-199.
    10. Guo, Hui, 2006. "Time-varying risk premia and the cross section of stock returns," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 2087-2107, July.
    11. Gikas Hardouvelis & George Papanastasopoulos & Dimitrios D. Thomakos & Tao Wang, 2007. "Accruals, Net Stock Issues and Value-Glamour Anomalies: New Evidence on their Relation," Working Paper series 47_07, Rimini Centre for Economic Analysis.
    12. Yu, Lin & Liu, Xiaoquan & Fung, Hung-Gay & Leung, Wai Kin, 2020. "Size and value effects in high-tech industries: The role of R&D investment," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    13. Hofmann, Daniel & Keiber, Karl Ludwig & Luczak, Adalbert, 2022. "Up and down together? On the linkage of momentum and reversal," Global Finance Journal, Elsevier, vol. 54(C).
    14. Keith Lam & Frank Li, 2008. "The risk premiums of the four-factor asset pricing model in the Hong Kong stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 18(20), pages 1667-1680.
    15. Cohen, Lauren & Diether, Karl & Malloy, Christopher, 2013. "Legislating stock prices," Journal of Financial Economics, Elsevier, vol. 110(3), pages 574-595.
    16. Lischewski, Judith & Voronkova, Svitlana, 2012. "Size, value and liquidity. Do They Really Matter on an Emerging Stock Market?," Emerging Markets Review, Elsevier, vol. 13(1), pages 8-25.
    17. Sabine Artmann & Philipp Finter & Alexander Kempf & Stefan Koch & Erik Theissen, 2012. "The Cross-Section of German Stock Returns: New Data and New Evidence," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 64(1), pages 20-43, January.
    18. Sebastian Lobe & Christian Walkshäusl, 2016. "Vice versus virtue investing around the world," Review of Managerial Science, Springer, vol. 10(2), pages 303-344, March.
    19. Andrey Pavlov & Eva Steiner & Susan Wachter, 2018. "The Consequences of REIT Index Membership for Return Patterns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 46(1), pages 210-250, March.
    20. Adam Zaremba & Przemys³aw Konieczka, 2016. "Paper profits from value, size and momentum: evidence from the Polish market," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 11(3), pages 58-69, February.

    More about this item

    JEL classification:

    • G00 - Financial Economics - - General - - - General
    • G1 - Financial Economics - - General Financial Markets
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:nbr:nberwo:24346. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.