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Fundamental anomalies and the size puzzle in China: A data mining approach

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  • Chang, Danting

Abstract

The paper documents the profitable fundamental-based anomalies in China's A-share market and proposes the fundamental-related size puzzle which is converse to prior literature on the US stock market: these anomalies are systematically more pronounced among big stocks than among small stocks. Using the bootstrap approach to control for data mining, the fundamental-related size puzzle strengthens. Further evidence points to the widely perceived view about China's A-share market that for small stocks subject to severe shell-value fluctuations due to IPO constraints, fundamental information is less relevant and hardly incorporated into prices even upon earnings arrival.

Suggested Citation

  • Chang, Danting, 2021. "Fundamental anomalies and the size puzzle in China: A data mining approach," Finance Research Letters, Elsevier, vol. 42(C).
    • Handle: RePEc:eee:finlet:v:42:y:2021:i:c:s1544612320317219
    DOI: 10.1016/j.frl.2020.101907
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    References listed on IDEAS

    as
    1. Liu, Jianan & Stambaugh, Robert F. & Yuan, Yu, 2019. "Size and value in China," Journal of Financial Economics, Elsevier, vol. 134(1), pages 48-69.
    2. Zheng Song & Kjetil Storesletten & Fabrizio Zilibotti, 2011. "Growing Like China," American Economic Review, American Economic Association, vol. 101(1), pages 196-233, February.
    3. Lee, Charles M.C. & Qu, Yuanyu & Shen, Tao, 2019. "Going public in China: Reverse mergers versus IPOs," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 92-111.
    4. R. David Mclean & Jeffrey Pontiff, 2016. "Does Academic Research Destroy Stock Return Predictability?," Journal of Finance, American Finance Association, vol. 71(1), pages 5-32, February.
    5. Nartea, Gilbert V. & Kong, Dongmin & Wu, Ji, 2017. "Do extreme returns matter in emerging markets? Evidence from the Chinese stock market," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 189-197.
    6. Allen, Franklin & Qian, Jun & Qian, Meijun, 2005. "Law, finance, and economic growth in China," Journal of Financial Economics, Elsevier, vol. 77(1), pages 57-116, July.
    7. Robert Kosowski & Allan Timmermann & Russ Wermers & Hal White, 2006. "Can Mutual Fund “Stars” Really Pick Stocks? New Evidence from a Bootstrap Analysis," Journal of Finance, American Finance Association, vol. 61(6), pages 2551-2595, December.
    8. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    9. Jeffrey Pontiff, 1996. "Costly Arbitrage: Evidence from Closed-End Funds," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(4), pages 1135-1151.
    10. Pontiff, Jeffrey, 2006. "Costly arbitrage and the myth of idiosyncratic risk," Journal of Accounting and Economics, Elsevier, vol. 42(1-2), pages 35-52, October.
    11. Mashruwala, Christina & Rajgopal, Shivaram & Shevlin, Terry, 2006. "Why is the accrual anomaly not arbitraged away? The role of idiosyncratic risk and transaction costs," Journal of Accounting and Economics, Elsevier, vol. 42(1-2), pages 3-33, October.
    12. Lee, Charles M. C. & Qu, Yuanyu & Shen, Tao, 2017. "Reverse Mergers, Shell Value, and Regulation Risk in Chinese Equity Markets," Research Papers repec:ecl:stabus:3604, Stanford University, Graduate School of Business.
    13. Cakici, Nusret & Fabozzi, Frank J. & Tan, Sinan, 2013. "Size, value, and momentum in emerging market stock returns," Emerging Markets Review, Elsevier, vol. 16(C), pages 46-65.
    14. Grace Xing Hu & Can Chen & Yuan Shao & Jiang Wang, 2019. "Fama–French in China: Size and Value Factors in Chinese Stock Returns," International Review of Finance, International Review of Finance Ltd., vol. 19(1), pages 3-44, March.
    15. Nicholas Barberis & Ming Huang, 2008. "Stocks as Lotteries: The Implications of Probability Weighting for Security Prices," American Economic Review, American Economic Association, vol. 98(5), pages 2066-2100, December.
    16. Duan, Ying & Hu, Gang & McLean, R. David, 2010. "Costly arbitrage and idiosyncratic risk: Evidence from short sellers," Journal of Financial Intermediation, Elsevier, vol. 19(4), pages 564-579, October.
    17. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    18. 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.
    19. Gul, Ferdinand A. & Kim, Jeong-Bon & Qiu, Annie A., 2010. "Ownership concentration, foreign shareholding, audit quality, and stock price synchronicity: Evidence from China," Journal of Financial Economics, Elsevier, vol. 95(3), pages 425-442, March.
    20. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    21. Joseph Engelberg & R. David Mclean & Jeffrey Pontiff, 2018. "Anomalies and News," Journal of Finance, American Finance Association, vol. 73(5), pages 1971-2001, October.
    22. David Hirshleifer & Sonya S. Lim & Siew Hong Teoh, 2011. "Limited Investor Attention and Stock Market Misreactions to Accounting Information," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 1(1), pages 35-73.
    23. Hanauer, Matthias X. & Lauterbach, Jochim G., 2019. "The cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 38(C), pages 265-286.
    24. Xuemin (Sterling) Yan & Lingling Zheng, 2017. "Fundamental Analysis and the Cross-Section of Stock Returns: A Data-Mining Approach," The Review of Financial Studies, Society for Financial Studies, vol. 30(4), pages 1382-1423.
    25. Zaremba, Adam & Maydybura, Alina, 2019. "The cross-section of returns in frontier equity markets: Integrated or segmented pricing?," Emerging Markets Review, Elsevier, vol. 38(C), pages 219-238.
    26. G. Andrew Karolyi, 2016. "Home Bias, an Academic Puzzle," Review of Finance, European Finance Association, vol. 20(6), pages 2049-2078.
    27. Eugene F. Fama & Kenneth R. French, 2010. "Luck versus Skill in the Cross‐Section of Mutual Fund Returns," Journal of Finance, American Finance Association, vol. 65(5), pages 1915-1947, October.
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    Cited by:

    1. Chang, Danting & Li, Feng, 2023. "Uncovering the information content in abnormal institutional visits," Finance Research Letters, Elsevier, vol. 55(PB).
    2. Kuan, Chung-Huei & Chen, Dar-Zen & Huang, Mu-Hsuan, 2024. "Dubious cross-national affiliations obscure the assessment of international research collaboration," Journal of Informetrics, Elsevier, vol. 18(2).

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    More about this item

    Keywords

    Anomaly; Fundamental analysis; Data mining; Bootstrap; Earnings announcement; Mispricing;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G40 - Financial Economics - - Behavioral Finance - - - General

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