IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v44y2023i6p3056-3076.html
   My bibliography  Save this article

Information gain in alternative data: Evidence from e‐commerce sales and analyst earnings forecasts

Author

Listed:
  • Ruiyang Niu
  • Guanghua Xie
  • Lin Chen
  • Longfeng Zhao
  • Meijun Wu

Abstract

Based on the e‐commerce sales data of A‐share listed firms in China, we explore how e‐commerce sales information affects analyst earnings forecasts. We find that firms' e‐commerce sales information is related to firms' value, increases firms' information transparency, broadens analysts' information channels, and thus improves analyst forecast behavior. Further analysis shows that e‐commerce sales information's positive effect is more significant in firms with high growth ability, low financial information transparency, and without management earnings forecasting. We also find that the positive effect is more salient in the bull market. The findings provide new insights for improving the analyst earnings forecast and offer evidence for the positive significance of e‐commerce sales of alternative data for the capital market in the information era.

Suggested Citation

  • Ruiyang Niu & Guanghua Xie & Lin Chen & Longfeng Zhao & Meijun Wu, 2023. "Information gain in alternative data: Evidence from e‐commerce sales and analyst earnings forecasts," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(6), pages 3056-3076, September.
  • Handle: RePEc:wly:mgtdec:v:44:y:2023:i:6:p:3056-3076
    DOI: 10.1002/mde.3863
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.3863
    Download Restriction: no

    File URL: https://libkey.io/10.1002/mde.3863?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:mgtdec:v:44:y:2023:i:6:p:3056-3076. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.