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“赢者诅咒”及风险假说对中国A股市场IPO抑价有效性的实证研究
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  • 英文篇名:Empirical Tests of the “Winner's Curse”and Risk Hypotheses for IPO Underpricing in the Chinese A-Share Market
  • 作者:张矢的 ; 卢月辉
  • 英文作者:Zhang Shidi;Lu Yuehui;Management School,Graduate University of the Chinese Academy of Sciences;
  • 关键词:IPO抑价 ; 风险 ; 赢者诅咒 ; IPO中签率
  • 英文关键词:IPO underpricing,risks,winner's curse hypothesis,lottery winning ratios
  • 中文刊名:ZWGD
  • 英文刊名:Management Review
  • 机构:中国科学院大学管理学院;
  • 出版日期:2014-08-31
  • 出版单位:管理评论
  • 年:2014
  • 期:v.26
  • 语种:中文;
  • 页:ZWGD201408006
  • 页数:11
  • CN:08
  • ISSN:11-5057/F
  • 分类号:45-55
摘要
本文以中国市场2000年至2010年5月计859家IPO为样本,在控制IPO首日总体市场市盈率及总体市场回报率的条件下,以首日分笔回报率标准差作为企业IPO前市风险的代理变量,中签率为IPO一级市场供需失衡的代理变量,通过建立简约的多元回归实证模型,对Rock首次提出的"赢者诅咒"假说及Ritter、Beatty基于"赢者诅咒"假设提出的风险假说进行了实证检验。实证结果显示,"赢者诅咒"假说及风险假说整体上对解释中国A股市场数据期间的IPO抑价率有效。
        With a sample of 859 IPOs in the Chinese A share market between 2000 and May 2010,this paper proposes parsimonious empirical models to test the validities of the"winner's curse"hypothesis first proposed by Rock and the risk hypothesis proposed by Ritter,and Beatty & Ritter by using the standard deviation derived from tick-by-tick returns of the first IPO trading day as a proxy for the ex ante risk of the IPO company,and the lottery winning ratio as an indication of imbalance between new share supply and demand in the primary IPO market,while controlling for overall market valuation level and overall market return of the IPO day. In general,both hypotheses are supported by the empirical results.
引文
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    1 对该领域相关研究较为全面的回顾见Ritter和Welch [1]以及Ljungqvist [2]。
    2 该模型的基本思路为:假定知情投资者为获得相关信息而发生的成本为固定,则该固定成本相当于投资者为获得出现IPO抑价时购买股份的权利所支付的期权费。根据标准期权分析,给定其它影响因素,IPO定价时公司价值的不确定性越高,该期权的实际价值就越高,选择成为知情投资者的人数也越多。而所有知情投资者固定成本的总和则与IPO抑价高低相关。见Beatty和Ritter[6]文附录。
    3 Beatty和Ritter认为后市日交易数据标准差是一个更理想的风险代理变量,但因为总体实证设计的原因,该文并没有采用这一指标。具体见Beatty和Ritter [6]文脚注13。
    4 通常IPO抑价率的计算为:(首日或其它后市收盘价/IPO发行价-1),而融资额则为发行股本数与IPO发行价之积,故在解释变量中引入IPO发行价及融资额均不成立。
    5 作者在前期探索性研究中同时采用了分钟时序数据作为企业风险的代理变量,但解释力度不及分笔数据。
    6 抑价率的计算方法包括两种,一种是直接使用后市收盘价除以发行价,再减1即为抑价率,如Johnson等[21];另一种为第一种方法计算结果减去同期市场指数收益率,主要基于去除同期市场波动影响的考虑,如靳云汇等[29]。实际上,这种计算方法暗含了公司贝塔值为1的假设,因此并不合理。
    7 本文对模型数据进行了异方差、共线性和自相关检验。对全样本及各阶段子样本使用White统计量进行异方差检验的结果表明全样本模型可能存在异方差,但各阶段模型不存在明显的异方差,故本文跨阶段全样本模型将使用加权最小二乘估计(WLS)。使用CI病态指数和VIF方差膨胀因子检测自变量共线性的结果表明全样本及各阶段上述指标均在可接受范围内,不存在明显共线性。使用DW统计量检验结果显示样本不存在明显自相关。

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