IDEAS home Printed from https://ideas.repec.org/p/pri/econom/2018-5.html
   My bibliography  Save this paper

Where Has All the Big Data Gone?

Author

Listed:
  • Maryam Farboodi

    (Princeton University)

  • Adrien Matray

    (Princeton University)

  • Laura Veldkamp

    (Columbia University)

Abstract

As ever more technology is deployed to process and transmit financial data, this could benefit society, by allowing capital to be allocated more efficiently. Recent work supports this notion. Bai, Philippon and Savov (2016) document an improvement in the ability of S&P 500 equity prices to predict firms' future earnings. We show that most of this "price informativeness" rise can be attributed to a size composition effect as S&P 500 firms are getting larger. In contrast, the average public firm's price information is deteriorating. Do these facts imply that big data failed to price assets more efficiently? To answer this question, we formulate a model of data-processing choices. We find that big data growth, in conjunction with a change in the relative size of firms, can trigger a decline in informativeness for smaller firms. The model also reveals how big data growth can masquerade itself as size composition. The implication is that ever-growing reams of financial data may be helping price assets more accurately. But this might not deliver financial efficiency benefits for the vast majority of firms.

Suggested Citation

  • Maryam Farboodi & Adrien Matray & Laura Veldkamp, 2018. "Where Has All the Big Data Gone?," Working Papers 2018-5, Princeton University. Economics Department..
  • Handle: RePEc:pri:econom:2018-5
    as

    Download full text from publisher

    File URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3164360
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gondhi, Naveen, 2023. "Rational inattention, misallocation, and the aggregate economy," Journal of Monetary Economics, Elsevier, vol. 136(C), pages 50-75.

    More about this item

    Keywords

    Data; Big Data; Financial Data;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:pri:econom:2018-5. 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: Bobray Bordelon (email available below). General contact details of provider: https://economics.princeton.edu/working-papers/ .

    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.