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.
Similar content being viewed by others
References
Aggarwal RK, Krigman L, Womack KL (2002) Strategic IPO underpricing, Information momentum, and lockup expiration selling. J Financ Econ 66(1):105–137
Antweiler W, Frank MZ (2004) Is all that talk just noise? The information content of Internet stock message boards. J Financ 59(3):1259–1294
Black F (1986) Noise. J Financ 41(3):529–543
Cogliati GM, Paleari S, Vismara S (2011) IPO pricing: growth rates implied in offer prices. Ann Financ 7(1):53–82
Da Z, Engelberg J, Gao P (2011) In search of attention. J Financ 6(5):1461–1499
De Long JB, Shleifer A, Summers LH, Waldmann RJ (1990) Noise trader risk in financial markets. J Politi Econ 98(4):703–738
DellaVigna S (2007) Psychology and economics: evidence from the field. J Econ Lit 47(2):315–372
Dimpfl T, Jank S (2016) Can Internet Search Queries Help to Predict Stock Market Volatility? Eur Financ Manag 22(2):171–192
Engelberg J, Sasseville C, Williams J (2012) Market madness? The case of mad money. Manage Sci 58(2):351–364
Fama EF (1970) Efficient capital markets: a review of theory and empirical work. J Financ 25(2):383–417
Gao Yan (2010) What comprises IPO initial returns:Evidence from the Chinese market. Pacific-Basin Finance J 18(1):77–89
Hsee CK, Yu F, Zhang J, Zhang Y (2003) Medium maximization. J Consum Res 30(1):1–14
Husnan S, Hanafi MM, Munandar M (2014) Price stabilization and IPO underpricing: an empirical study in the Indonesian stock exchange. J Indones Econ Bus: JIEB 29(2):129
Ibbotson RG (1975) Price performance of common stock new issues. J Financ Econ 2(3):235–272
Kahneman D (1973) Attention and effort. Prentice-Hall, Englewood Cliffs, p 246
Kim M, Ritter JR (1999) Valuing IPOs. J Financ Econ 53(3):409–437
Lintner G (1998) Behavioral finance: why investors make bad decisions. Plan. 13(1):7–8
Thaler RH (ed) (2005) Advances in behavioral finance, vol 2. Princeton University Press
Vlastakis N, Markellos RN (2012) Information demand and stock market volatility. J Bank Financ 36(6):1808–1821
Wysocki PD (1998) Cheap talk on the web: the determinants of postings on stock message boards. University of michigan business school working paper (98025)
Zhou Z, Zhou J (2010) Chinese IPO activity, pricing, and market cycles. Rev Quant Financ Account 34(4):483–503
Acknowledgements
This work was supported partly by the National Science Foundation of China (NSFC No. 71601106) and Shanghai Science & Technology Innovation Project (No. 16511102900).
Author information
Authors and Affiliations
Corresponding author
Additional information
Hailiang Huang, Yanhong Li and Yingying Zhang made equal contribution to this paper.
Appendix
Appendix
See Table 10.
Rights and permissions
About this article
Cite this article
Huang, H., Li, Y. & Zhang, Y. Investors’ attention and overpricing of IPO: an empirical study on China’s growth enterprise market. Inf Syst E-Bus Manage 16, 761–774 (2018). https://doi.org/10.1007/s10257-017-0351-1
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10257-017-0351-1