Impact of news sentiment and topics on IPO underpricing: US evidence

IF 4.3 Q2 MANAGEMENT
Elena Fedorova, S. Druchok, P. Drogovoz
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引用次数: 2

Abstract

Purpose The goal of the study is to examine the effects of news sentiment and topics dominating in the news field prior to the initial public offering (IPO) on the IPO underpricing. Design/methodology/approach The authors’ approach has several steps. The first is textual analysis. To detect the dominating topics in the news, the authors use Latent Dirichlet allocation. The authors use bidirectional encoder representations from transformers (BERT) pretrained on financial news corpus to evaluate the tonality of articles. The second is evaluation of feature importance. To this end, a linear regression with robust estimators and Classification and Regression Tree and Random Forest are used. The third is data. The text data consists of 345,731 news articles from Thomson Reuters related to the USA in the date range from 1 January 2011 to 31 May 2018. The data contains all the possible topics from the website, excluding anything related to sports. The sample of 386 initial public offerings completed in the USA from 1 January 2011 to 31 May 2018 was collected from Bloomberg Database. Findings The authors found that sentiment of the media regarding the companies going public influences IPO underpricing. Some topics, namely, the climate change and environmental policies and the trade war between the US and China, have influence on IPO underpricing if they appear in the media prior to the IPO day. Originality/value The puzzle of IPO underpricing is studied from the point of Narrative Economics theory for the first time. While most of the works cover only some specific news segment, we use Thomson Reuters news aggregator, which uses such sources The New York Post, CNN, Fox, Atlantic, The Washington Post ? Buzzfeed. To evaluate the sentiment of the articles, a state-of-the-art approach BERT is used. The hypothesis that some common narratives or topics in the public discussion may impose influence on such example of biased behaviour like IPO underpricing has also found confirmation.
新闻情绪和话题对IPO定价过低的影响:美国证据
目的研究首次公开发行(IPO)前新闻情绪和新闻领域主导话题对IPO抑价的影响。设计/方法论/方法作者的方法有几个步骤。首先是文本分析。为了检测新闻中的主导话题,作者使用了潜狄利克雷分配。作者使用在财经新闻语料库上预训练的变形器(BERT)双向编码器表示来评估文章的调性。二是特征重要性评价。为此,使用了具有鲁棒估计量的线性回归以及分类回归树和随机森林。第三是数据。文本数据由汤森路透在2011年1月1日至2018年5月31日期间与美国相关的345,731篇新闻文章组成。这些数据包含了网站上所有可能的话题,不包括任何与体育相关的话题。从彭博数据库中收集2011年1月1日至2018年5月31日在美国完成的386次首次公开募股的样本。研究发现,媒体对上市公司的态度影响了IPO的抑价。一些话题,如气候变化和环境政策、中美贸易战,如果在IPO日前出现在媒体上,就会对IPO的抑价产生影响。本文首次从叙事经济学理论的角度对IPO抑价之谜进行了研究。虽然大多数作品只覆盖某些特定的新闻片段,但我们使用汤森路透新闻聚合器,它使用纽约邮报,CNN,福克斯,大西洋,华盛顿邮报等来源。Buzzfeed。为了评估文章的情感,使用了最先进的BERT方法。公众讨论中的一些常见叙述或话题可能对IPO定价过低等偏见行为的例子产生影响,这一假设也得到了证实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.90
自引率
3.00%
发文量
28
期刊介绍: The International Journal of Accounting & Information Management focuses on publishing research in accounting, finance, and information management. It specifically emphasizes the interaction between these research areas on an international scale and within both the private and public sectors. The aim of the journal is to bridge the knowledge gap between researchers and practitioners by covering various issues that arise in the field. These include information systems, accounting information management, innovation and technology in accounting, accounting standards and reporting, and capital market efficiency.
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