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来源类型Working Paper
规范类型报告
DOI10.3386/w27707
来源IDWorking Paper 27707
Measuring Customer Churn and Interconnectedness
Scott R. Baker; Brian Baugh; Marco C. Sammon
发表日期2020-08-17
出版年2020
语种英语
摘要This paper demonstrates that it is possible to construct accurate pictures of firm revenue, growth, geographic dispersion, and customer base characteristics using an increasingly accessible class of consumer financial transaction data. We develop two new measures which characterize firms' customer bases: the rate of churn in a firm's customer base and a metric of the pairwise similarity between firms' customer bases. We show that these measures provide important insights into the behavior of both real firm decisions and firm asset prices. Rates of customer churn affect the level and volatility of firm-level investment, markups, and profits. Churn also affects how quickly firms respond to shocks in the value of their growth options (i.e. Tobin's~Q). Moreover, high churn firms tended to face steeper declines in consumer spending during the recent COVID-19 outbreak. Similarity between firms' customer bases highlights one under-explored type of predictability among stock returns -- we demonstrate that significant alpha can be generated using a trading strategy that exploits our index of customer base similarity across firms.
主题Microeconomics ; Households and Firms ; Macroeconomics ; Consumption and Investment ; Financial Economics ; Corporate Finance
URLhttps://www.nber.org/papers/w27707
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/585379
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GB/T 7714
Scott R. Baker,Brian Baugh,Marco C. Sammon. Measuring Customer Churn and Interconnectedness. 2020.
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