首页> 外文学位 >Systematic risk, general market factors and underpricing of the IPOs.
【24h】

Systematic risk, general market factors and underpricing of the IPOs.

机译:系统性风险,一般市场因素和IPO定价偏低。

获取原文
获取原文并翻译 | 示例

摘要

This dissertation focuses on two main areas pertaining to the underpricing of initial public offerings (IPOs). First, the study examines the problem of IPOs' underpricing and its relation to the ex ante uncertainty. In this study, two more factors are introduced as proxies for ex ante uncertainty: systematic risk and the range in the preliminary offering prices. But systematic risk cannot be computed for private firms; hence, two variables are used as proxies for systematic risk: accounting beta and debt ratio. The results of the simple regression show a positive relationship between accounting beta and the degree of IPOs' underpricing. On the other hand, using a sample of 1053 IPOs, the results show insignificant association between systematic risk when represented by IPOs' debt ratio and the IPOs' underpricing. The second factor introduced in this study as a proxy for ex ante uncertainty is the range in the preliminary offering prices. The results of the simple regression using 1053 IPOS do not support the hypothesis that there is a positive relationship between the range of the preliminary offering prices and the initial return of the IPOs.; The second area examined in this study concerning the IPOs' underpricing is the variations in underpricing over time and among industries. Because of these variations, we argue that the underwriter's intentional underpricing, which is due to firms' specific risks, is not the only justification for underpricing the IPOs. The study argues that in addition to the underwriter's intentional underpricing, which is related to ex ante uncertainty, general market factors pertaining to all IPOs are major contributors in explaining IPOs' underpricing. Industry performance is used as a proxy for the general market factors. All firms in the NASDAQ and in the S&P Super Composite Index are classified into industries based on their two-digit SIC code. Performance for each industry using the NASDAQ and the S&P Super Composite Index is then computed for the six months preceding the public offering of any firm in these industries. Using a sample of 1053 firms, the results of the simple regression show a positive relationship between industry performance and initial return of IPOs whether we use industry performance based on the NASDAQ or on the S&P Super Composite Index. The results imply that the degree of IPOs' underpricing not only is justified by the degree of ex ante uncertainty but also is explained by the general market factors that are common to all IPOs.; Finally, a multiple regression is performed where the initial return is regressed with respect to six independent variables: accounting beta as a proxy for systematic risk, industry performance as a proxy for general market factors, IPO size, IPO age, underwriter prestige and the proportion of stocks retained by the entrepreneur in the IPO after the public offering. The results using White Heteroscedasticity-Consistent Covariance Matrix Estimator show that systematic risk and general market factors hold significant explanatory powers similar to those attained in the simple regression. (Abstract shortened by UMI.)
机译:本文主要研究两个与首次公开发行(IPO)定价过低有关的主要领域。首先,该研究考察了IPO定价偏低的问题及其与事前不确定性的关系。在这项研究中,引入了另外两个因素作为事前不确定性的代理:系统风险和初始发行价格的范围。但是不能为私人公司计算系统风险。因此,有两个变量被用作系统风险的代理:会计贝塔系数和债务比率。简单回归的结果显示,会计贝塔值与IPO定价偏低之间存在正相关关系。另一方面,使用1053个IPO样本,结果表明,以IPO债务比率表示的系统风险与IPO定价偏低之间没有显着关联。本研究中引入的第二个因素是事前不确定性的替代指标,是初步发行价格的范围。使用1053 IPOS进行简单回归的结果不支持以下假设,即初始发行价格的范围与IPO的初始回报之间存在正相关关系。在这项研究中,与IPO定价偏低有关的第二个领域是随着时间的推移以及各行业之间定价偏低的变化。由于存在这些差异,我们认为,由于公司的特定风险,承销商的故意过低定价并不是对IPO进行过低定价的唯一理由。该研究认为,除了承销商的故意定价过低(与事前不确定性相关)外,与所有IPO相关的一般市场因素也是解释IPO定价偏低的主要因素。行业绩效可代替一般市场因素。纳斯达克和标准普尔超级综合指数中的所有公司均根据其两位数的SIC代码分类为行业。然后,使用纳斯达克和标准普尔超级综合指数计算每个行业的业绩,然后计算该行业任何公司公开发行前六个月的业绩。使用1053家公司的样本,简单回归的结果表明,无论我们使用基于纳斯达克或标准普尔超级综合指数的行业绩效,行业绩效与IPO初始回报之间都存在正相关关系。结果表明,IPO定价偏低的程度不仅可以通过事前不确定性程度来证明,而且可以用所有IPO共有的一般市场因素来解释。最后,执行多元回归,其中初始收益相对于六个自变量进行回归:会计贝塔值作为系统风险的代名词,行业绩效作为一般市场因素的代名词,IPO规模,IPO年龄,承销商信誉和比例公开募股后企业家保留在IPO中的股票数量。使用White Heteroscedasticity-Consistent Covariance Matrix Estimator的结果表明,系统风险和一般市场因素具有与简单回归相似的强大解释力。 (摘要由UMI缩短。)

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号