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The benefits of transaction-level data: The case of NielsenIQ scanner data

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  • Dichev, Ilia D.
  • Qian, Jingyi

Abstract

This study explores whether NielsenIQ scanner data from U.S. retailers contain incremental information about the GAAP revenue of corresponding manufacturers. Using retail product/store/week data from 2006 to 2018, we construct a measure of aggregated consumer purchases at the manufacturer/quarter level, and find that it strongly predicts GAAP revenues. In addition, analyst forecasts of revenues have predictable errors, which implies that analysts do not fully incorporate the information in consumer purchases. Exploring investment implications, we find that hedge portfolios that buy (sell) stocks of firms with high (low) abnormal consumer purchases generate annualized returns on the magnitude of 14%–19%, depending on specification. Overall, these findings suggest that scanner data on consumer purchases provide an information edge over GAAP revenue, shedding light on the benefits of using transactional data.

Suggested Citation

  • Dichev, Ilia D. & Qian, Jingyi, 2022. "The benefits of transaction-level data: The case of NielsenIQ scanner data," Journal of Accounting and Economics, Elsevier, vol. 74(1).
    • Handle: RePEc:eee:jaecon:v:74:y:2022:i:1:s0165410122000180
    DOI: 10.1016/j.jacceco.2022.101495
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    as
    1. Ittner, CD & Larcker, DF, 1998. "Are nonfinancial measures leading indicators of financial performance? An analysis of customer satisfaction," Journal of Accounting Research, Wiley Blackwell, vol. 36, pages 1-35.
    2. Ryan Kim, 2021. "The Effect of the Credit Crunch on Output Price Dynamics: The Corporate Inventory and Liquidity Management Channel," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(1), pages 563-619.
    3. Huang, Jiekun, 2018. "The customer knows best: The investment value of consumer opinions," Journal of Financial Economics, Elsevier, vol. 128(1), pages 164-182.
    4. Froot, Kenneth & Kang, Namho & Ozik, Gideon & Sadka, Ronnie, 2017. "What do measures of real-time corporate sales say about earnings surprises and post-announcement returns?," Journal of Financial Economics, Elsevier, vol. 125(1), pages 143-162.
    5. Scott R. Baker & Stephen Teng Sun & Constantine Yannelis, 2020. "Corporate Taxes and Retail Prices," NBER Working Papers 27058, National Bureau of Economic Research, Inc.
    6. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    7. Richardson, Scott A. & Sloan, Richard G. & Soliman, Mark T. & Tuna, Irem, 2005. "Accrual reliability, earnings persistence and stock prices," Journal of Accounting and Economics, Elsevier, vol. 39(3), pages 437-485, September.
    8. Bernard, Vl, 1987. "Cross-Sectional Dependence And Problems In Inference In Market-Based Accounting Research," Journal of Accounting Research, Wiley Blackwell, vol. 25(1), pages 1-48.
    9. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    10. Christopher A Parsons & Riccardo Sabbatucci & Sheridan Titman, 2020. "Geographic Lead-Lag Effects," The Review of Financial Studies, Society for Financial Studies, vol. 33(10), pages 4721-4770.
    11. Sundaresh Ramnath, 2002. "Investor and Analyst Reactions to Earnings Announcements of Related Firms: An Empirical Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 40(5), pages 1351-1376, December.
    12. Konchitchki, Yaniv & Patatoukas, Panos N., 2014. "Accounting earnings and gross domestic product," Journal of Accounting and Economics, Elsevier, vol. 57(1), pages 76-88.
    13. Lauren Cohen & Andrea Frazzini, 2008. "Economic Links and Predictable Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1977-2011, August.
    14. Argente, David & Lee, Munseob & Moreira, Sara, 2018. "Innovation and product reallocation in the great recession," Journal of Monetary Economics, Elsevier, vol. 93(C), pages 1-20.
    15. Jung Koo Kang & Lorien Stice‐Lawrence & Yu Ting Forester Wong, 2021. "The Firm Next Door: Using Satellite Images to Study Local Information Advantage," Journal of Accounting Research, Wiley Blackwell, vol. 59(2), pages 713-750, May.
    16. Rouen, Ethan & So, Eric C. & Wang, Charles C.Y., 2021. "Core earnings: New data and evidence," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1068-1091.
    17. Matthew Harding & Ephraim Leibtag & Michael F. Lovenheim, 2012. "The Heterogeneous Geographic and Socioeconomic Incidence of Cigarette Taxes: Evidence from Nielsen Homescan Data," American Economic Journal: Economic Policy, American Economic Association, vol. 4(4), pages 169-198, November.
    18. Bernard, Victor L. & Thomas, Jacob K., 1990. "Evidence that stock prices do not fully reflect the implications of current earnings for future earnings," Journal of Accounting and Economics, Elsevier, vol. 13(4), pages 305-340, December.
    19. Hunt Allcott & Rebecca Diamond & Jean-Pierre Dubé & Jessie Handbury & Ilya Rahkovsky & Molly Schnell, 2019. "Food Deserts and the Causes of Nutritional Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 1793-1844.
    20. Bernard, Vl & Thomas, Jk, 1989. "Post-Earnings-Announcement Drift - Delayed Price Response Or Risk Premium," Journal of Accounting Research, Wiley Blackwell, vol. 27, pages 1-36.
    21. Dichev, Ilia D. & Graham, John R. & Harvey, Campbell R. & Rajgopal, Shiva, 2013. "Earnings quality: Evidence from the field," Journal of Accounting and Economics, Elsevier, vol. 56(2), pages 1-33.
    22. Han, Jcy & Wild, Jj, 1990. "Unexpected Earnings And Intraindustry Information Transfers - Further Evidence," Journal of Accounting Research, Wiley Blackwell, vol. 28(1), pages 211-219.
    23. Ali, Usman & Hirshleifer, David, 2020. "Shared analyst coverage: Unifying momentum spillover effects," Journal of Financial Economics, Elsevier, vol. 136(3), pages 649-675.
    24. Christina Zhu, 2019. "Big Data as a Governance Mechanism," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 2021-2061.
    25. Piotroski, JD, 2000. "Value investing: The use of historical financial statement information to separate winners from losers," Journal of Accounting Research, Wiley Blackwell, vol. 38, pages 1-41.
    26. Lee, Charles M. C., 2001. "Market efficiency and accounting research: a discussion of 'capital market research in accounting' by S.P. Kothari," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 233-253, September.
    27. Richardson, Scott & Tuna, Irem & Wysocki, Peter, 2010. "Accounting anomalies and fundamental analysis: A review of recent research advances," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 410-454, December.
    28. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    29. Xavier Jaravel, 2019. "The Unequal Gains from Product Innovations: Evidence from the U.S. Retail Sector," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 715-783.
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    More about this item

    Keywords

    Transactional data; Consumer purchase; Equity valuation; Market efficiency;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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