分类销售和股票收益

Sumit Agarwal, Wenlan Qian, Xin Zou
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引用次数: 19

摘要

我们使用来自美国一家大型金融机构的交易级信用卡支出,展示了分类销售提供了与公司股票定价相关的客户需求的准确和持久的信号。在控制收益和销售意外之后,在公司的财政季度中,调整后的客户支出每增加五分之一,就会导致收益公布后60天累积异常回报增加1.5个百分点。这种可预测性集中在以消费者为导向的公司,尤其是那些更依赖于间接销售分销渠道的公司。我们还发现,高fico评分、高流动性和忠诚客户的支出回报反应更强。分类销售信息的传递速度比收益信息的传递速度慢,小企业或远离最终客户的企业表现出更延迟的价格反应。最后,调整后的客户支出的回报影响延伸到生产链上的公司。本文被财经朱浩翔接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disaggregated Sales and Stock Returns
Using transaction-level credit-card spending from a large U.S. financial institution, we show that disaggregated sales provide accurate and persistent signals of customer demand relevant to a firm’s stock pricing. After controlling for earnings and sales surprises, one interquintile increase in the adjusted customer spending during a firm’s fiscal quarter leads to a 1.5 percentage point increase in the 60-day post–earnings announcement cumulative abnormal return. The predictability concentrates in consumer-oriented firms, especially those relying more on indirect sales distribution channels. We also find a stronger return response to spending from high-FICO-score, high-liquidity, and loyal customers. The transmission speed of disaggregated sales information is slower than that of the earnings information, and small firms or firms far from their end customers exhibit a more delayed price response. Finally, the return implications of adjusted customer spending extend to firms along the production chain. This paper was accepted by Haoxiang Zhu, finance.
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