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Exploring the investment value of retail sales growth: Evidence from the China Retailer Alliance

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  • Zhou, Zhenkun
  • Wu, Danni
  • Su, Zhi
  • Ren, Tao

Abstract

This study investigates the investment value of retail sales growth using a unique dataset obtained from the China Ants Alliance, a retailer alliance in China. Leveraging this dataset, we construct a weekly retail sales growth rate index (SG) and draw significant conclusions about consumer-oriented firms. The hedge portfolios constructed based on this index earn a 0.206% excess weekly return. The predictability of the returns from the index persists after controlling for various firm characteristics. Sales growth also positively predicts firms’ fundamentals, such as revenue growth and cash flow surprises, highlighting the investment value of retail sales in predicting future cash flows and a firm’s revenue. Overall, we enrich the literature on consumer behavior information and stock pricing. We further expand the exploration of the investment value of nonfinancial information and provide a valuable reference for investors and the capital market.

Suggested Citation

  • Zhou, Zhenkun & Wu, Danni & Su, Zhi & Ren, Tao, 2024. "Exploring the investment value of retail sales growth: Evidence from the China Retailer Alliance," Finance Research Letters, Elsevier, vol. 63(C).
    • Handle: RePEc:eee:finlet:v:63:y:2024:i:c:s1544612324003945
    DOI: 10.1016/j.frl.2024.105364
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    as
    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    3. Xiafei Li & Di Luo, 2017. "Investor Sentiment, Limited Arbitrage, and the Cash Holding Effect," Review of Finance, European Finance Association, vol. 21(6), pages 2141-2168.
    4. Novy-Marx, Robert, 2013. "The other side of value: The gross profitability premium," Journal of Financial Economics, Elsevier, vol. 108(1), pages 1-28.
    5. R. David Mclean & Jeffrey Pontiff, 2016. "Does Academic Research Destroy Stock Return Predictability?," Journal of Finance, American Finance Association, vol. 71(1), pages 5-32, February.
    6. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    7. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    8. Huang, Jiekun, 2018. "The customer knows best: The investment value of consumer opinions," Journal of Financial Economics, Elsevier, vol. 128(1), pages 164-182.
    9. 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.
    10. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    11. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    12. Michael Firth & Kailong (Philip) Wang & Sonia ML Wong, 2015. "Corporate Transparency and the Impact of Investor Sentiment on Stock Prices," Management Science, INFORMS, vol. 61(7), pages 1630-1647, July.
    13. Zhang, Xinyue & Bissoondoyal-Bheenick, Emawtee & Zhong, Angel, 2023. "Investor sentiment and stock market anomalies in Australia," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 284-303.
    14. Ye Liu & Xindan Li & Haijian Zeng & Yunbi An, 2017. "Political connections, auditor choice and corporate accounting transparency: evidence from private sector firms in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(4), pages 1071-1099, December.
    15. Bhattacharya, Utpal & Daouk, Hazem & Welker, Michael, 2003. "The World Price of Earnings Opacity," Working Papers 127185, Cornell University, Department of Applied Economics and Management.
    16. Jiang, Fuwei & Qi, Xinlin & Tang, Guohao, 2018. "Q-theory, mispricing, and profitability premium: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 135-149.
    17. 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).
    18. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    19. Michael J. Cooper & Huseyin Gulen & Michael J. Schill, 2008. "Asset Growth and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1609-1651, August.
    20. Chung, San-Lin & Hung, Chi-Hsiou & Yeh, Chung-Ying, 2012. "When does investor sentiment predict stock returns?," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 217-240.
    21. Green, T. Clifton & Huang, Ruoyan & Wen, Quan & Zhou, Dexin, 2019. "Crowdsourced employer reviews and stock returns," Journal of Financial Economics, Elsevier, vol. 134(1), pages 236-251.
    22. Brian Boyer & Todd Mitton & Keith Vorkink, 2010. "Expected Idiosyncratic Skewness," The Review of Financial Studies, Society for Financial Studies, vol. 23(1), pages 169-202, January.
    23. Zhenkun Zhou & Zikun Song & Tao Ren, 2023. "A New Weighted Food CPI from Scanner Big Data in China," Papers 2310.04242, arXiv.org, revised Oct 2023.
    24. Jegadeesh, Narasimhan & Livnat, Joshua, 2006. "Revenue surprises and stock returns," Journal of Accounting and Economics, Elsevier, vol. 41(1-2), pages 147-171, April.
    25. Sumit Agarwal & Wenlan Qian & Xin Zou, 2021. "Disaggregated Sales and Stock Returns," Management Science, INFORMS, vol. 67(11), pages 7167-7183, November.
    26. Liu, Shangqun & Wang, Jiamin & Li, Qian, 2023. "Alternative data and trade credit financing: Evidence from third-party online sales disclosure," Finance Research Letters, Elsevier, vol. 58(PB).
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