Abstract
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.
Original language | English |
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Pages (from-to) | 7167-7183 |
Number of pages | 17 |
Journal | Management Science |
Volume | 67 |
Issue number | 11 |
Early online date | 19 Feb 2021 |
DOIs | |
Publication status | Published - Nov 2021 |
User-Defined Keywords
- Big data
- Consumption
- Credit cards
- Customer demand
- Disaggregated sales
- Financial institution
- Household finance
- Informed investors
- Return predictability