Can textual analysis solve the underpricing puzzle? A US REIT study

IF 1.6 Q3 BUSINESS, FINANCE
Nino Martin Paulus, M. Koelbl, Wolfgang Schaefers
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引用次数: 2

Abstract

PurposeAlthough many theories aim to explain initial public offering (IPO) underpricing, initial-day returns of US Real Estate Investment Trust (REIT) IPOs remain a “puzzle”. The literature on REIT IPOs has focused on indirect quantitative proxies for information asymmetries between REITs and investors to determine IPO underpricing. This study, however, proposes textual analysis to exploit the qualitative information, revealed through one of the most important documents during the IPO process – Form S-11 – as a direct measure of information asymmetries.Design/methodology/approachThis study determines the level of uncertain language in the prospectus, as well as its similarity to recently filed registration statements, to assess whether textual features can solve the underpricing puzzle. It assumes that uncertain language makes it more difficult for potential investors to price the issue and thus increases underpricing. Furthermore, it is hypothesized that a higher similarity to previous filings indicates that the prospectus provides little useful information and thus does not resolve existing information asymmetries, leading to increased underpricing.FindingsContrary to expectations, this research does not find a statistically significant association between uncertain language in Form S-11 and initial-day returns. This result is interpreted as suggesting that uncertain language in the prospectus does not reflect the issuer's expectations about the company's future prospects, but rather is necessary because of forecasting difficulties and litigation risk. Analyzing disclosure similarity instead, this study finds a statistically and economically significant impact of qualitative information on initial-day returns. Thus, REIT managers may reduce underpricing by voluntarily providing more information to potential investors in Form S-11.Practical implicationsThe results demonstrate that textual analysis can in fact help to explain underpricing of US REIT IPOs, as qualitative information in Forms S-11 decreases information asymmetries between US REIT managers and investors, thus reducing underpricing. Consequently, REIT managers are incentivized to provide as much information as possible to reduce underpricing, while investors could use textual analysis to identify offerings that promise the highest returns.Originality/valueThis is the first study which applies textual analysis to corporate disclosures of US REITs in order to explain IPO underpricing.
文本分析能解决定价偏低的难题吗?美国房地产投资信托基金研究
目的尽管许多理论都试图解释首次公开募股(IPO)定价偏低的原因,但美国房地产投资信托(REIT)IPO的首日回报率仍然是一个“谜”。关于REIT IPO的文献集中在REITs和投资者之间信息不对称的间接定量代理上,以确定IPO抑价。然而,这项研究提出了文本分析,以利用IPO过程中最重要的文件之一——表S-11所揭示的定性信息,作为信息不对称的直接衡量标准。设计/方法/方法这项研究确定了招股说明书中不确定语言的水平,以及它与最近提交的注册声明的相似性,以评估文本特征是否可以解决定价偏低的问题。它假设不确定的语言会使潜在投资者更难为发行定价,从而增加抑价。此外,据推测,与之前提交的文件更高的相似性表明,招股说明书提供的有用信息很少,因此无法解决现有的信息不对称问题,从而导致定价偏低的情况增加。结果与预期相反,这项研究没有发现S-11中不确定的语言与最初的一天回报之间存在统计学上的显著关联。这一结果被解释为表明,招股说明书中的不确定语言并不能反映发行人对公司未来前景的预期,而是由于预测困难和诉讼风险而有必要的。相反,通过分析披露的相似性,本研究发现定性信息对首日回报的影响在统计学和经济上都具有显著意义。因此,房地产投资信托基金经理可以通过自愿在表格S-11中向潜在投资者提供更多信息来减少抑价。实际含义研究结果表明,文本分析实际上有助于解释美国房地产投资基金IPO的抑价,因为表格S-11的定性信息减少了美国房地产信托基金经理和投资者之间的信息不对称,从而减少了抑价。因此,房地产投资信托基金经理被激励提供尽可能多的信息来减少定价过低,而投资者可以使用文本分析来确定承诺最高回报的产品。原创性/价值这是第一项将文本分析应用于美国REITs公司披露以解释IPO抑价的研究。
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来源期刊
CiteScore
3.50
自引率
23.10%
发文量
33
期刊介绍: Fully refereed papers on practice and methodology in the UK, continental Western Europe, emerging markets of Eastern Europe, China, Australasia, Africa and the USA, in the following areas: ■Academic papers on the latest research, thinking and developments ■Law reports assessing new legislation ■Market data for a comprehensive review of current research ■Practice papers - a forum for the exchange of ideas and experiences
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