基于信息不对称、媒介和制度的IPO抑价回归模型研究

Liang-Yn Liu, Zixuan Zhang, Kexin Lyu
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引用次数: 1

摘要

本文以中国股票市场为研究对象,对IPO抑价问题的实证研究进行了回顾。运用拟合回归分析和分解模型对IPO定价过低的驱动因素进行了研究。这些研究被分为三类:信息不对称、媒体报道和制度因素。本文从信息不对称出发,回顾了五种信息不对称理论,并以“赢家的诅咒”实证分析为基础。本文还列举了一些信息不对称理论对经济各个领域的影响。在媒体报道方面,我们使用控制变量模型来分析各因素的影响。研究发现,媒体关注度和媒体语气都会影响投资者情绪,从而影响IPO抑价。因此,为了降低IPO抑价率,企业可以进行媒体信息管理,增加媒体报道中负面语气的比例。在最后一节,我们运用线性回归模型,发现IPO抑价现象与机构控制和投机行为显著相关。
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A Study of IPO Underpricing Using Regression Model Based on Information Asymmetry, Media, and Institution
This paper reviews the empirical studies of IPO underpricing, with an emphasis on Chinese stock market. It surveys the driving factors of IPO underpricing using the fitting regression analysis and disaggregate model. The studies have been sorted into three categories: information asymmetry, media coverage, and institutional factors. From the information asymmetry, this paper reviews five information asymmetry theories and uses the empirical analysis of the Winner’s Curse as the basis. It also lists the implications of some information asymmetry theories on various fields in the economy. In terms of media coverage, we used control variate model to analyse influence of each factor. It has been found that both media attention and media tone will affect investor sentiment and thus affect IPO underpricing. Therefore, to reduce the IPO underpricing rate, enterprises can carry out media information management to increase the proportion of negative tone in media reports. In the last section, we use linear regression model and discovered that IPO underpricing phenomenon was significantly correlated with institutional control and speculation behavior.
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