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The signaling effects of incremental information: Evidence from stacked US Food and Drug Administration designations

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  • Miller, Kathleen L.
  • Nardinelli, Clark
  • Pink, George
  • Reiter, Kristin

Abstract

The US Food and Drug Administration offers multiple designations for drugs under development, such as the fast-track designation (for drugs that treat serious conditions with unmet medical need) and the orphan drug designation (for drugs that treat rare diseases). In this study, we look at whether a stacked designation (a fast-track designation with a prior orphan designation) provides stronger positive signaling effects to investors than an unstacked designation (a fast-track alone). We examine differences in average cumulative abnormal returns (CARs) following “stacked” and “unstacked” announcements using daily stock data for individual firms and the S&P 500 Composite Index for the period of 1998–2015. Results show a substantial decline in average CARs over the study period for both stacked and unstacked designations. We hypothesize that this decline could be caused by the increased availability of information caused by the growth of the internet over the study period: as more information is more readily available, the value of each piece of incremental information may decrease. We also find evidence of substantially larger average CARs for small firms than large firms for both stacked and unstacked designations. We believe that this evidence supports the conclusion that there is a strong “dilution effect” for incremental information, as large pharmaceutical firms make more frequent announcements than smaller firms.

Suggested Citation

  • Miller, Kathleen L. & Nardinelli, Clark & Pink, George & Reiter, Kristin, 2018. "The signaling effects of incremental information: Evidence from stacked US Food and Drug Administration designations," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 219-226.
  • Handle: RePEc:eee:quaeco:v:67:y:2018:i:c:p:219-226
    DOI: 10.1016/j.qref.2017.07.005
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    References listed on IDEAS

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    1. Andreas Sturm & Michael J. Dowling & Klaus Röder, 2007. "FDA Drug Approvals: Time Is Money!," Journal of Entrepreneurial Finance, Pepperdine University, Graziadio School of Business and Management, vol. 12(2), pages 23-54, Fall.
    2. Thierry Foucault & Johan Hombert & Ioanid Roşu, 2016. "News Trading and Speed," Journal of Finance, American Finance Association, vol. 71(1), pages 335-382, February.
    3. Keith M. Drake & Martha A. Starr & Thomas McGuire, 2014. "Do "Reverse Payment" Settlements of Brand-Generic Patent Disputes in the Pharmaceutical Industry Constitute an Anticompetitive Pay for Delay?," NBER Working Papers 20292, National Bureau of Economic Research, Inc.
    4. Ashish Sood & Gerard J. Tellis, 2009. "Do Innovations Really Pay Off? Total Stock Market Returns to Innovation," Marketing Science, INFORMS, vol. 28(3), pages 442-456, 05-06.
    5. Parvez Ahmed & John Gardella & Sudhir Nanda, 2002. "Wealth Effect of Drug Withdrawals on Firms and Their Competitors," Financial Management, Financial Management Association, vol. 31(3), Fall.
    6. Austin, David H, 1993. "An Event-Study Approach to Measuring Innovative Output: The Case of Biotechnology," American Economic Review, American Economic Association, vol. 83(2), pages 253-258, May.
    7. Kathleen L. Miller & Clark Nardinelli & George Pink & Kristin Reiter, 2017. "The Signaling Effects of the US Food and Drug Administration Fast‐Track Designation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 38(4), pages 581-594, June.
    8. 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.
    9. Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
    10. Sarkar, Salil K. & de Jong, Pieter J., 2006. "Market response to FDA announcements," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(4), pages 586-597, September.
    11. Kolari, James W. & Pynnonen, Seppo, 2011. "Nonparametric rank tests for event studies," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 953-971.
    12. Michael Spence, 1976. "Symposium: The Economics of Information: Informational Aspects of Market Structure: An Introduction," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(4), pages 591-597.
    13. Janney, Jay J. & Folta, Timothy B., 2003. "Signaling through private equity placements and its impact on the valuation of biotechnology firms," Journal of Business Venturing, Elsevier, vol. 18(3), pages 361-380, May.
    14. Trueman, B & Wong, MHF & Zhang, XJ, 2000. "The eyeballs have it: Searching for the value in internet stocks," Journal of Accounting Research, Wiley Blackwell, vol. 38, pages 137-162.
    15. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
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