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The freedom of information act and the race towards information acquisition

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  • Gargano, Antonio
  • Rossi, Alberto G.
  • Wermers, Russ

Abstract

We document a little-known source of information exploited by sophisticated institutional investors: the Freedom of Information Act (FOIA), a law that allows for the disclosure of previously unreleased information by the U.S. Government. Through FOIA requests, we identify several sophisticated institutional investors, chiefly hedge funds, that request information from the FDA. We explore the type of information commonly requested by funds and the types of firms that are targets of FDA-FOIA requests, and we show that FOIA requests allow these investors to generate abnormal returns. Thus, we illustrate a detailed mechanism through which costly information becomes incorporated into market prices.

Suggested Citation

  • Gargano, Antonio & Rossi, Alberto G. & Wermers, Russ, 2015. "The freedom of information act and the race towards information acquisition," CFR Working Papers 16-02, University of Cologne, Centre for Financial Research (CFR).
    • Handle: RePEc:zbw:cfrwps:1602
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    References listed on IDEAS

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    Cited by:

    1. Francesco D'Acunto & Alberto G. Rossi & Michael Weber & Michael Weber, 2019. "Crowdsourcing financial information to change spending behavior," CESifo Working Paper Series 7533, CESifo.
    2. Pei, Duo & Vasarhelyi, Miklos A., 2020. "Big data and algorithmic trading against periodic and tangible asset reporting: The need for U-XBRL," International Journal of Accounting Information Systems, Elsevier, vol. 37(C).
    3. Boone, Audra L. & Floros, Ioannis V. & Johnson, Shane A., 2016. "Redacting proprietary information at the initial public offering," Journal of Financial Economics, Elsevier, vol. 120(1), pages 102-123.
    4. Alan Crane & Kevin Crotty & Tarik Umar, 2023. "Hedge Funds and Public Information Acquisition," Management Science, INFORMS, vol. 69(6), pages 3241-3262, June.
    5. Kumar, Nitish & Mullally, Kevin & Ray, Sugata & Tang, Yuehua, 2020. "Prime (information) brokerage," Journal of Financial Economics, Elsevier, vol. 137(2), pages 371-391.
    6. Sumit Agarwal & Wenlan Qian & Xin Zou, 2021. "Disaggregated Sales and Stock Returns," Management Science, INFORMS, vol. 67(11), pages 7167-7183, November.
    7. Xiong, Yan, 2022. "Comments on “Information acquisition and expected returns: Evidence from EDGAR search traffic,” by Weikai Li and Chengzhu Sun," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    8. Eliezer Fich & Viktoriya Lantushenko & Clemens Sialm, 2019. "Institutional Trading Around M&A Announcements," NBER Working Papers 25814, National Bureau of Economic Research, Inc.
    9. David Kreitmeir & Nathan Lane & Paul A. Raschky, 2020. "The Value of Names - Civil Society, Information, and Governing Multinationals on the Global Periphery," SoDa Laboratories Working Paper Series 2020-10, Monash University, SoDa Laboratories.
    10. Liao Xu & Xiangkang Yin & Jing Zhao, 2022. "Are the flows of exchange‐traded funds informative?," Financial Management, Financial Management Association International, vol. 51(4), pages 1165-1200, December.
    11. Braiden Coleman & Kenneth Merkley & Brian Miller & Joseph Pacelli, 2021. "Does the Freedom of Information Act Foil the Securities and Exchange Commission’s Intent to Keep Investigations Confidential?," Management Science, INFORMS, vol. 67(6), pages 3419-3428, June.

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    More about this item

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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