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Investors’ attention and overpricing of IPO: an empirical study on China’s growth enterprise market

Author

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  • Hailiang Huang

    (Shanghai University of Finance and Economics
    Shanghai Key Laboratory of Financial Information Technology)

  • Yanhong Li

    (Shanghai University of Finance and Economics
    Shanghai Key Laboratory of Financial Information Technology)

  • Yingying Zhang

    (Shanghai University of Finance and Economics
    Shanghai Key Laboratory of Financial Information Technology)

Abstract

In China, the Growth Enterprise Market (GEM) is a brand new market that provides an additional way of financing for firms with good growth potential. Whereas there has been a massive amount of stocks breaking on the first trading day since 2010, the risk of IPO’s overpricing in China’s GEM has drawn more and more attention in recent years. Based on the theory of behavioral finance and limited attention, investors’ attention may be a quite indicative determinant to the IPO overpricing. Accordingly, we collected data from Internet including online stock forums and search engines, then built multiple investors’ attention metrics that were distinct to the traditional metrics from the offline stock market. In the empirical study, we built regression models to dig out the determinants of IPO’s overpricing and found that the hybrid model containing both online metrics and financial metrics outperformed the others considerably. The adjusted R-square of the hybrid model containing both online metrics and financial metrics is as high as 82.8%, in contrast to 18.2% for the model containing only the financial metrics and 59.3% for that containing only investors’ attention.

Suggested Citation

  • Hailiang Huang & Yanhong Li & Yingying Zhang, 2018. "Investors’ attention and overpricing of IPO: an empirical study on China’s growth enterprise market," Information Systems and e-Business Management, Springer, vol. 16(4), pages 761-774, November.
    • Handle: RePEc:spr:infsem:v:16:y:2018:i:4:d:10.1007_s10257-017-0351-1
    DOI: 10.1007/s10257-017-0351-1
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    References listed on IDEAS

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    1. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    2. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    3. Aggarwal, Rajesh K. & Krigman, Laurie & Womack, Kent L., 2002. "Strategic IPO underpricing, information momentum, and lockup expiration selling," Journal of Financial Economics, Elsevier, vol. 66(1), pages 105-137, October.
    4. Thomas Dimpfl & Stephan Jank, 2016. "Can Internet Search Queries Help to Predict Stock Market Volatility?," European Financial Management, European Financial Management Association, vol. 22(2), pages 171-192, March.
    5. Gao, Yan, 2010. "What comprises IPO initial returns: Evidence from the Chinese market," Pacific-Basin Finance Journal, Elsevier, vol. 18(1), pages 77-89, January.
    6. Joseph Engelberg & Caroline Sasseville & Jared Williams, 2012. "Market Madness? The Case of Mad Money," Management Science, INFORMS, vol. 58(2), pages 351-364, February.
    7. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    8. Hsee, Christopher K, et al, 2003. "Medium Maximization," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(1), pages 1-14, June.
    9. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    10. Ibbotson, Roger G., 1975. "Price performance of common stock new issues," Journal of Financial Economics, Elsevier, vol. 2(3), pages 235-272, September.
    11. Zhong-guo Zhou & Janet Zhou, 2010. "Chinese IPO activity, pricing, and market cycles," Review of Quantitative Finance and Accounting, Springer, vol. 34(4), pages 483-503, May.
    12. repec:bla:jfinan:v:59:y:2004:i:3:p:1259-1294 is not listed on IDEAS
    13. Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
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