The Effect of Twitter Messages and Tone on Stock Return: The Case of Saudi Stock Market “Tadawul”

Q4 Business, Management and Accounting Journal of Risk and Financial Management Pub Date : 2024-09-09 DOI:10.3390/jrfm17090405
Mohammed S. Albarrak
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Abstract

This research aims to examine whether corporate Twitter messages and tone have an effect on corporate stock return (RET) for the Saudi Stock Exchange “Tadawul”. The study also investigates whether the association differs across large- and small-sized firms. We used a sample of 11,099 firm-daily observations for non-financial firms that were traded on the Saudi Stock Exchange “Tadawul” across the period 1 April 2020 to 31 December 2020. Using panel ordinary least square (OLS) and two-stage least square (2SLS), we found that corporate Twitter (currently renamed ‘X’) messages is positively and significantly associated with stock return (RET). The findings also suggest that the message tone increases the stock returns. Furthermore, our results show different effects of Twitter messages and tone on stock return across small- and large-sized firms. In addition, our findings show that Twitter tone is positively associated with RET when the firm is large in size. However, when the firm is small, Twitter messages has a stronger effect on RET. Our findings provide policy implications for regulators and investors. Regulators might monitor the information in accurate ways. Also, investors might start to show interest in Twitter channels to follow the firm’s news.
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推特信息和语气对股票回报的影响:沙特股票市场 "Tadawul "的案例
本研究旨在探讨企业 Twitter 消息和语气是否对沙特证券交易所 "Tadawul "的企业股票回报率(RET)有影响。本研究还探讨了这种关联在大型企业和小型企业之间是否存在差异。我们使用的样本是沙特证券交易所 "Tadawul "在 2020 年 4 月 1 日至 2020 年 12 月 31 日期间交易的 11,099 家非金融公司的每日观察数据。利用面板普通最小二乘法(OLS)和两阶段最小二乘法(2SLS),我们发现企业 Twitter(现更名为 "X")消息与股票回报率(RET)呈显著正相关。研究结果还表明,信息语气会提高股票回报率。此外,我们的研究结果表明,Twitter 消息和语气对小型企业和大型企业的股票回报率有不同的影响。此外,我们的研究结果表明,当公司规模较大时,推特语气与 RET 呈正相关。然而,当公司规模较小时,Twitter 消息对 RET 的影响更大。我们的研究结果为监管机构和投资者提供了政策启示。监管者可以通过准确的方式监控信息。此外,投资者可能会开始对 Twitter 渠道感兴趣,以关注公司的新闻。
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来源期刊
CiteScore
4.50
自引率
0.00%
发文量
512
审稿时长
11 weeks
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