不止文字:消费者产品评论的语气能否帮助预测公司基本面?

More than words: Can tone of consumer product reviews help predict firms’ fundamentals?

Journal of Business Finance & Accounting · 2022
被引 4
人大 A-ABS 3

中文导读

研究了亚马逊消费者评论的总体语气能否预测公司未来销售、盈利、股票回报和风险,发现负面语气比正面语气更具预测力。

Abstract

Abstract Although financial market participants are increasingly interested in the financial value of unstructured qualitative information regarding the prospects of a firm, empirical evidence remains sparse on the properties of qualitative content in consumer product reviews and their capital market implications. Using a broad sample of consumer reviews posted on Amazon.com, I examine whether the linguistic tone of aggregate consumer product reviews conveys information that is associated with firms’ sales, earnings, stock returns and risk. I find that aggregate review tone successfully predicts a firm's forthcoming quarterly sales. Moderating analyses show that this predictability is stronger for firms operating in a highly competitive environment. I further find that review tone predicts a firm's quarterly earnings surprises, abnormal stock returns and risk. A path analysis shows that the effect of review tone on stock prices is partially channeled through its effect on firms’ earnings. I finally find that negative review tone is more informative and useful than positive tone in predicting a firm's fundamentals. Importantly, these results hold after controlling for other review characteristics, including review rating, review volumeand review dispersion. Overall, my findings highlight the importance of considering the tone of consumer reviews when evaluating a firm's prospects and value.

消费者评论语气企业基本面预测销售预测股票收益