并购研究中的事件研究方法

Veronika S. Vinogradova
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引用次数: 0

摘要

主题。本文介绍了事件研究方法的基本原理,事件研究方法是公司财务和并购中最流行的实证工具之一。本文介绍了计算预期收益和异常收益的主要方法,检验异常收益和测量结果统计显著性的主要方法,并指出了方法的优点和局限性。在对事件分析经典名著进行内容分析的基础上,提出了该方法的主要算法和研究途径。考虑到旨在改进方法的现代工作的结果,扩大了基本概念。通过对2015 - 2020年重点出版物的分析,验证了该方法的适用性和相关性。本文对并购研究的最新进展进行了综述。重点介绍了事件分析法在现代应用中的主要趋势。该方法易于使用,主要金融数据库中可提供用于分析的市场数据。这允许对大量证券样本进行实证研究。此外,股票价格反映了投资者的直接期望,与经常被误报的财务报表分析相比,最能反映事件创造的价值。结论和相关性。研究表明,事件分析法仍然是并购研究领域的关键方法论,并得到了研究者们的积极应用。改进的计量经济学方法允许增加统计显著性和更准确的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Event study methodology in M&A research
Subject. The article presents the basic principles of the event research methodology, which is one of the most popular empirical tools in corporate finance, and mergers and acquisitions. Objectives. The article introduces the main methodologies for calculating expected and abnormal returns, the main approaches for testing abnormal returns and measuring the statistical significance of the results, and it also notes the advantages and limitations of the methodology. Methods. Based on a content analysis of the top classical works in event analysis, the main algorithm and research approaches of the method are presented. The basic concept has been expanded taking into account the results of modern work aimed at improving the methodology. The applicability of the method and its relevance were verified based on the analysis of spotlight publications for 2015–2020. Results. The article provides a review of the latest developments in M&A research. It highlights the main modern trends in the application of the event analysis method. The methodology is shown to be easy to use, with market data used for analysis available in major financial databases. This allows for empirical research with a large sample of securities. In addition, stock prices reflect the direct expectations of investors and best reflect the value created by the event when compared to financial statement analyses that are often misstated. Conclusions and Relevance. It is concluded that the event analysis method remains the key methodology in the field of mergers and acquisitions and is actively used by researchers. Improved econometric approaches allow for increased statistical significance and more accurate results.
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