IDEAS home Printed from https://ideas.repec.org/p/bdi/wptemi/td_969_14.html
   My bibliography  Save this paper

Stock market efficiency in China: evidence from the split-share reform

Author

Listed:
  • Andrea Beltratti

    (Bocconi University)

  • Bernardo Bortolotti

    (Bocconi University and University of Turin)

  • Marianna Caccavaio

    (Bank of Italy)

Abstract

We perform an event study to investigate the efficiency of the Chinese stock market. We study the reaction of stock returns and trading volumes to the 2005-2006 structural reform which allowed the transformation of non-tradable shares (NTS) into tradable shares (TS) through payment of a compensation to holders of TS. We find evidence of positive abnormal returns in the few days before the announcement of which companies will undergo the reform process and in the ten days after the readmission to trading of participating companies following the determination of the compensation, but no abnormal returns after the payment itself. From a methodological viewpoint, our contribution is the introduction of a bootstrap procedure that is designed to replicate the actual degree of covariance across firms.

Suggested Citation

  • Andrea Beltratti & Bernardo Bortolotti & Marianna Caccavaio, 2014. "Stock market efficiency in China: evidence from the split-share reform," Temi di discussione (Economic working papers) 969, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:wptemi:td_969_14
    as

    Download full text from publisher

    File URL: http://www.bancaditalia.it/pubblicazioni/temi-discussione/2014/2014-0969/en_tema_969.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
    2. Chong, Terence Tai-Leung & Lam, Tau-Hing & Yan, Isabel Kit-Ming, 2012. "Is the Chinese stock market really inefficient?," China Economic Review, Elsevier, vol. 23(1), pages 122-137.
    3. Kai Li & Tan Wang & Yan-Leung Cheung & Ping Jiang, 2011. "Privatization and Risk Sharing: Evidence from the Split Share Structure Reform in China," The Review of Financial Studies, Society for Financial Studies, vol. 24(7), pages 2499-2525.
    4. Kim, Jae H. & Shamsuddin, Abul, 2008. "Are Asian stock markets efficient? Evidence from new multiple variance ratio tests," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 518-532, June.
    5. Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
    6. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    7. Asquith, Paul, 1983. "Merger bids, uncertainty, and stockholder returns," Journal of Financial Economics, Elsevier, vol. 11(1-4), pages 51-83, April.
    8. Hong, Harrison & Scheinkman, José & Xiong, Wei, 2008. "Advisors and asset prices: A model of the origins of bubbles," Journal of Financial Economics, Elsevier, vol. 89(2), pages 268-287, August.
    9. Ajinkya, Bipin B. & Jain, Prem C., 1989. "The behavior of daily stock market trading volume," Journal of Accounting and Economics, Elsevier, vol. 11(4), pages 331-359, November.
    10. Jianping Mei & Jose A. Scheinkman & Wei Xiong, 2009. "Speculative Trading and Stock Prices: Evidence from Chinese A-B Share Premia," Annals of Economics and Finance, Society for AEF, vol. 10(2), pages 225-255, November.
    11. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    12. Gabe J. de Bondt & Tuomas A. Peltonen & Daniel Santabárbara, 2010. "Booms and busts in China's stock market: Estimates based on fundamentals," Working Papers 1032, Banco de España.
    13. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    14. Alon Brav & Paul A. Gompers, 2003. "The Role of Lockups in Initial Public Offerings," The Review of Financial Studies, Society for Financial Studies, vol. 16(1), pages 1-29.
    15. Sun, Qian & Tong, Wilson H. S., 2003. "China share issue privatization: the extent of its success," Journal of Financial Economics, Elsevier, vol. 70(2), pages 183-222, November.
    16. Lei Gao & Gerhard Kling, 2005. "Calendar Effects in Chinese Stock Market," Annals of Economics and Finance, Society for AEF, vol. 6(1), pages 75-88, May.
    17. Galai, Dan & Schneller, Meir I, 1978. "Pricing of Warrants and the Value of the Firm," Journal of Finance, American Finance Association, vol. 33(5), pages 1333-1342, December.
    18. Charles, Amélie & Darné, Olivier, 2009. "The random walk hypothesis for Chinese stock markets: Evidence from variance ratio tests," Economic Systems, Elsevier, vol. 33(2), pages 117-126, June.
    19. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    20. Fei Lu & Maria Balatbat & Robert Czernkowski, 2012. "Does consideration matter to China’s split share structure reform?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(2), pages 439-466, June.
    21. Harrison Hong & José Scheinkman & Wei Xiong, 2006. "Asset Float and Speculative Bubbles," Journal of Finance, American Finance Association, vol. 61(3), pages 1073-1117, June.
    22. Dimson, Elroy, 1979. "Risk measurement when shares are subject to infrequent trading," Journal of Financial Economics, Elsevier, vol. 7(2), pages 197-226, June.
    23. Li Liao & Bibo Liu & Hao Wang, 2011. "Information Discovery in Share Lockups: Evidence from the Split‐Share Structure Reform in China," Financial Management, Financial Management Association International, vol. 40(4), pages 1001-1027, December.
    24. Fang Huang & Jun Su & Terence Tai-Leung Chong, 2008. "Testing for Structural Change in the Nontradable Share Reform of the Chinese Stock Market," Chinese Economy, Taylor & Francis Journals, vol. 41(2), pages 24-33, March.
    25. John D. Lyon & Brad M. Barber & Chih‐Ling Tsai, 1999. "Improved Methods for Tests of Long‐Run Abnormal Stock Returns," Journal of Finance, American Finance Association, vol. 54(1), pages 165-201, February.
    26. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    27. Lynch, Anthony W & Mendenhall, Richard R, 1997. "New Evidence on Stock Price Effects Associated with Changes in the S&P 500 Index," The Journal of Business, University of Chicago Press, vol. 70(3), pages 351-383, July.
    28. Chen, Xuanjuan & Kim, Kenneth A. & Yao, Tong & Yu, Tong, 2010. "On the predictability of Chinese stock returns," Pacific-Basin Finance Journal, Elsevier, vol. 18(4), pages 403-425, September.
    29. McNichols, Maureen & Dravid, Ajay, 1990. "Stock Dividends, Stock Splits, and Signaling," Journal of Finance, American Finance Association, vol. 45(3), pages 857-879, July.
    30. Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    31. David L. Ikenberry & Sundaresh Ramnath, 2002. "Underreaction to Self-Selected News Events: The Case of Stock Splits," The Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 489-526, March.
    32. Scott E. Hein, 2004. "Improving Tests of Abnormal Returns by Bootstrapping the Multivariate Regression Model with Event Parameters," Journal of Financial Econometrics, Oxford University Press, vol. 2(3), pages 451-471.
    33. Groenewold, Nicolaas & Tang, Sam Hak Kan & Wu, Yanrui, 2003. "The efficiency of the Chinese stock market and the role of the banks," Journal of Asian Economics, Elsevier, vol. 14(4), pages 593-609, August.
    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. Fung, Joseph K.W. & Girardin, Eric & Hua, Jian, 2022. "How does the exchange-rate regime affect dual-listed share price parity? Evidence from China’s A- and H-share markets," Journal of International Money and Finance, Elsevier, vol. 129(C).
    2. Yang, Baochen & Ye, Tao & Ma, Yao, 2022. "Financing anomaly, mispricing and cross-sectional return predictability," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 579-598.
    3. Yingyi Hu, 2019. "Short-horizon market efficiency, order imbalance, and speculative trading: evidence from the Chinese stock market," Annals of Operations Research, Springer, vol. 281(1), pages 253-274, October.
    4. Fang, Sheng & Egan, Paul, 2018. "Measuring contagion effects between crude oil and Chinese stock market sectors," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 31-38.
    5. Al-Shboul, Mohammad & Alsharari, Nizar, 2019. "The dynamic behavior of evolving efficiency: Evidence from the UAE stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 119-135.
    6. Adedoyin Isola Lawal & Russel O Somoye & Abiola Ayopo Babajide, 2017. "Are African stock markets efficient? Evidence from wavelet unit root test for random walk," Economics Bulletin, AccessEcon, vol. 37(4), pages 2665-2679.
    7. Siva Kiran & Prabhakar Rao.R, 2019. "Analysis of Stock Market Efficiency in Emerging Markets: Evidence from BRICS," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 22(72), pages 60-77, June.
    8. Hong, Hui & Chen, Naiwei & O’Brien, Fergal & Ryan, James, 2018. "Stock return predictability and model instability: Evidence from mainland China and Hong Kong," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 132-142.
    9. Tingting Zhang & Shunbo Yao & Jinna Yu & Assem Abu Hatab & Zhen Liu, 2020. "Effects of China’s Collective Forestland Tenure Reform Policies on Forest Product Firm Values," Land, MDPI, vol. 9(4), pages 1-20, April.

    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. Liu, Clark & Wang, Shujing & Wei, K.C. John, 2021. "Demand shock, speculative beta, and asset prices: Evidence from the Shanghai-Hong Kong Stock Connect program," Journal of Banking & Finance, Elsevier, vol. 126(C).
    2. Jennifer N. Carpenter & Fangzhou Lu & Robert F. Whitelaw, 2015. "The Real Value of China's Stock Market," NBER Working Papers 20957, National Bureau of Economic Research, Inc.
    3. Liu, Jianan & Stambaugh, Robert F. & Yuan, Yu, 2019. "Size and value in China," Journal of Financial Economics, Elsevier, vol. 134(1), pages 48-69.
    4. Jiang, Danling & Peterson, David R. & Doran, James S., 2014. "Short-sale constraints and the idiosyncratic volatility puzzle: An event study approach," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 36-59.
    5. Kiran Thapa, 2013. "Stock Message Board Recommendations and Share Trading Activity," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 3-2013, January-A.
    6. Stefan Nagel, 2013. "Empirical Cross-Sectional Asset Pricing," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 167-199, November.
    7. Wagner, Niklas & Winter, Elisabeth, 2013. "A new family of equity style indices and mutual fund performance: Do liquidity and idiosyncratic risk matter?," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 69-85.
    8. Carpenter, Jennifer N. & Lu, Fangzhou & Whitelaw, Robert F., 2018. "The real value of China's stock market," BOFIT Discussion Papers 2/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    9. Frömmel, Michael & Han, Xing & Li, Youwei & Vigne, Samuel A., 2022. "Low liquidity beta anomaly in China," Emerging Markets Review, Elsevier, vol. 50(C).
    10. Penasse, J.N.G. & Renneboog, L.D.R., 2014. "Bubbles and Trading Frenzies : Evidence from the Art Market," Other publications TiSEM bf0d8984-df7f-4f02-afc7-3, Tilburg University, School of Economics and Management.
    11. Bucher, Melk C., 2017. "Investor Attention and Sentiment: Risk or Anomaly?," Working Papers on Finance 1712, University of St. Gallen, School of Finance.
    12. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar & Ramlakhan, Prakash, 2020. "Herding in the Singapore stock Exchange," Journal of Economics and Business, Elsevier, vol. 109(C).
    13. Yan Zeng & Josie McLaren, 2015. "The impact of large public sales of Government assets: empirical evidence from the Chinese stock markets on a gradual and offer-to-get approach," Review of Quantitative Finance and Accounting, Springer, vol. 45(1), pages 137-173, July.
    14. Carpenter, Jennifer N. & Lu, Fangzhou & Whitelaw, Robert F., 2018. "The real value of China’s stock market," BOFIT Discussion Papers 2/2018, Bank of Finland, Institute for Economies in Transition.
    15. Fu, Fangjian, 2009. "Idiosyncratic risk and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 91(1), pages 24-37, January.
    16. Yi, Li & Liu, Zilan & He, Lei & Qin, Zilong & Gan, Shunli, 2018. "Do Chinese mutual funds time the market?," Pacific-Basin Finance Journal, Elsevier, vol. 47(C), pages 1-19.
    17. repec:zbw:bofitp:2018_002 is not listed on IDEAS
    18. Tomislav Globan & Tihana Skrinjaric, 2020. "Penny wise and pound foolish: capital gains tax and trading volume on the Zagreb Stock Exchange," Public Sector Economics, Institute of Public Finance, vol. 44(3), pages 299-329.
    19. Han, Xing & Li, Kai & Li, Youwei, 2020. "Investor overconfidence and the security market line: New evidence from China," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    20. David C. Ling & Andy Naranjo & Benjamin Scheick, 2014. "Investor Sentiment, Limits to Arbitrage and Private Market Returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(3), pages 531-577, September.
    21. Feng, Xunan & Johansson, Anders C. & Wei, Dengxi, 2023. "Judging a book by its cover: Analysts and attention-driven price patterns in China's IPO market," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).

    More about this item

    Keywords

    Chinese stock market; market efficiency; event study; bootstrap;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • N25 - Economic History - - Financial Markets and Institutions - - - Asia including Middle East

    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:bdi:wptemi:td_969_14. 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/bdigvit.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.