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Measuring Customer Churn and Interconnectedness

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  • Scott R. Baker
  • Brian Baugh
  • Marco C. Sammon

Abstract

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.

Suggested Citation

  • Scott R. Baker & Brian Baugh & Marco C. Sammon, 2020. "Measuring Customer Churn and Interconnectedness," NBER Working Papers 27707, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27707
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    References listed on IDEAS

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    1. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    2. Brian Baugh & Itzhak Ben‐David & Hoonsuk Park, 2018. "Can Taxes Shape an Industry? Evidence from the Implementation of the “Amazon Tax”," Journal of Finance, American Finance Association, vol. 73(4), pages 1819-1855, August.
    3. Scott R. Baker, 2018. "Debt and the Response to Household Income Shocks: Validation and Application of Linked Financial Account Data," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1504-1557.
    4. Eberly, Janice & Rebelo, Sergio & Vincent, Nicolas, 2012. "What explains the lagged-investment effect?," Journal of Monetary Economics, Elsevier, vol. 59(4), pages 370-380.
    5. Arna Olafsson & Michaela Pagel, 2018. "The Liquid Hand-to-Mouth: Evidence from Personal Finance Management Software," The Review of Financial Studies, Society for Financial Studies, vol. 31(11), pages 4398-4446.
    6. Peter Ganong & Pascal Noel, 2019. "Consumer Spending during Unemployment: Positive and Normative Implications," American Economic Review, American Economic Association, vol. 109(7), pages 2383-2424, July.
    7. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    8. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    9. Lauren Cohen & Andrea Frazzini, 2008. "Economic Links and Predictable Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1977-2011, August.
    10. Lorenz Kueng, 2018. "Excess Sensitivity of High-Income Consumers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(4), pages 1693-1751.
    11. Sumit Agarwal & Wenlan Qian, 2014. "Consumption and Debt Response to Unanticipated Income Shocks: Evidence from a Natural Experiment in Singapore," American Economic Review, American Economic Association, vol. 104(12), pages 4205-4230, December.
    12. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    13. Deniz Aydin, 2022. "Consumption Response to Credit Expansions: Evidence from Experimental Assignment of 45,307 Credit Lines," American Economic Review, American Economic Association, vol. 112(1), pages 1-40, January.
    14. Gerard Hoberg & Gordon Phillips, 2010. "Product Market Synergies and Competition in Mergers and Acquisitions: A Text-Based Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 23(10), pages 3773-3811, October.
    15. Novy-Marx, Robert, 2012. "Is momentum really momentum?," Journal of Financial Economics, Elsevier, vol. 103(3), pages 429-453.
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    Cited by:

    1. Morlacco, Monica & Zeke, David, 2021. "Monetary policy, customer capital, and market power," Journal of Monetary Economics, Elsevier, vol. 121(C), pages 116-134.

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    More about this item

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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