企业相关网络论坛的利益相关者分析:在股票收益预测中的应用

David Zimbra, Hsinchun Chen, R. Lusch
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引用次数: 18

摘要

在这项研究中,我们提出了与公司相关的网络论坛的利益相关者分析。先前对公司相关论坛的分析考虑了所有参与者的总体情况,未能认识到人口内部的多样性潜力。然而,论坛参与者的不同群体可能代表着值得考虑的公司的各种利益和利害关系。为了进行利益相关者分析,本文遵循信息系统研究的设计科学范式,开发了企业相关网络论坛的利益相关者分析系统。该系统的设计及其利益相关者分析方法以企业利益相关者理论和系统功能语言学理论两个核心理论为指导。利益相关者分析确定论坛参与者的不同群体,他们在讨论中表达了共同的特征,并评估他们在公司中的具体意见和利益。在三个月的时间里,在雅虎财经主办的六个主要公司相关论坛上进行了利益相关者分析。使用多元线性回归模型检验了从论坛中提取的度量与随后的公司股票日收益之间的关系,揭示了各公司利益相关者群体讨论中公司股票收益的统计显著指标,利益相关者模型调整后的R2值达到0.83。每日股票收益预测也进行了31个交易日,利益相关者模型正确预测了67%的交易日的回报方向,并在模拟交易中产生了令人印象深刻的17%的回报。这些评估表明,利益相关者分析提供了对公司相关论坛的更精细的评估,产生了利益相关者群体层面的措施,比汇总论坛层面的信息更好地解释和预测公司股票的日常回报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stakeholder Analyses of Firm-Related Web Forums: Applications in Stock Return Prediction
In this study, we present stakeholder analyses of firm-related web forums. Prior analyses of firm-related forums have considered all participants in the aggregate, failing to recognize the potential for diversity within the populations. However, distinctive groups of forum participants may represent various interests and stakes in a firm worthy of consideration. To perform the stakeholder analyses, the Stakeholder Analyzer system for firm-related web forums is developed following the design science paradigm of information systems research. The design of the system and its approach to stakeholder analysis is guided by two kernel theories, the stakeholder theory of the firm and the systemic functional linguistic theory. A stakeholder analysis identifies distinctive groups of forum participants with shared characteristics expressed in discussion and evaluates their specific opinions and interests in the firm. Stakeholder analyses are performed in six major firm-related forums hosted on Yahoo Finance over a 3-month period. The relationships between measures extracted from the forums and subsequent daily firm stock returns are examined using multiple linear regression models, revealing statistically significant indicators of firm stock returns in the discussions of the stakeholder groups of each firm with stakeholder-model-adjusted R2 values reaching 0.83. Daily stock return prediction is also performed for 31 trading days, and stakeholder models correctly predicted the direction of return on 67% of trading days and generated an impressive 17% return in simulated trading of the six firm stocks. These evaluations demonstrate that the stakeholder analyses provided more refined assessments of the firm-related forums, yielding measures at the stakeholder group level that better explain and predict daily firm stock returns than aggregate forum-level information.
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