IDEAS home Printed from https://ideas.repec.org/a/kap/rqfnac/v26y2006i4p391-408.html
   My bibliography  Save this article

R&D Progress, stock price volatility, and post-announcement drift: An empirical investigation into biotech firms

Author

Listed:
  • Bixia Xu

Abstract

I investigate the effects of R&D progress on the dynamics of stock price volatility and the post announcement drift to provide insights into whether or not and how capital markets react to corporate R&D progress in the context of the biotech industry. I find both stock price volatility and the post announcement drift decrease in R&D progress. More importantly, the decrease is proportional to the increase in the drug development success rate driven by R&D progress. Findings suggest that R&D progress conveys useful risk-relevant information, and plays an important role in explaining stock price volatility change and market anomalies. Copyright Springer Science + Business Media, LLC 2006

Suggested Citation

  • Bixia Xu, 2006. "R&D Progress, stock price volatility, and post-announcement drift: An empirical investigation into biotech firms," Review of Quantitative Finance and Accounting, Springer, vol. 26(4), pages 391-408, June.
    • Handle: RePEc:kap:rqfnac:v:26:y:2006:i:4:p:391-408
    DOI: 10.1007/s11156-006-7439-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11156-006-7439-x
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11156-006-7439-x?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Joon Chae, 2005. "Trading Volume, Information Asymmetry, and Timing Information," Journal of Finance, American Finance Association, vol. 60(1), pages 413-442, February.
    2. Francis, Jennifer & LaFond, Ryan & Olsson, Per & Schipper, Katherine, 2003. "Accounting Anomalies and Information Uncertainty," SIFR Research Report Series 13, Institute for Financial Research.
    3. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    4. Baruch Lev & Theodore Sougiannis, 1999. "Penetrating the Book-to-Market Black Box: The R&D Effect," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(3-4), pages 419-449.
    5. Partha Dasgupta & Joseph Stiglitz, 1980. "Uncertainty, Industrial Structure, and the Speed of R&D," Bell Journal of Economics, The RAND Corporation, vol. 11(1), pages 1-28, Spring.
    6. Bernard, Vl & Thomas, Jk, 1989. "Post-Earnings-Announcement Drift - Delayed Price Response Or Risk Premium," Journal of Accounting Research, Wiley Blackwell, vol. 27, pages 1-36.
    7. Kim, Dongcheol & Kim, Myungsun, 2003. "A Multifactor Explanation of Post-Earnings Announcement Drift," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(2), pages 383-398, June.
    8. 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.
    9. Louis K. C. Chan & Josef Lakonishok & Theodore Sougiannis, 2001. "The Stock Market Valuation of Research and Development Expenditures," Journal of Finance, American Finance Association, vol. 56(6), pages 2431-2456, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Cheng Jiang & Kose John & David Larsen, 2021. "R&D investment intensity and jump volatility of stock price," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 235-277, July.
    2. Pervaiz Alam & Min Liu & Xiaofeng Peng, 2014. "R&D expenditures and implied equity risk premiums," Review of Quantitative Finance and Accounting, Springer, vol. 43(3), pages 441-462, October.
    3. Michael T. Dugan & John E. McEldowney & Elizabeth H. Turner & Clark M. Wheatley, 2016. "The Impact of Different Accounting Reporting Methods on the Informativeness of Research and Development Costs: IFRS Compared to U.S. GAAP," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(04), pages 1-36, December.
    4. Mustafa Ciftci & Nan Zhou, 2016. "Capitalizing R&D expenses versus disclosing intangible information," Review of Quantitative Finance and Accounting, Springer, vol. 46(3), pages 661-689, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Josef Fink, 2020. "A Review of the Post-Earnings-Announcement Drift," Working Paper Series, Social and Economic Sciences 2020-04, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    2. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    3. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors," The Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1673-1736.
    4. Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2019. "Which Factors?," Review of Finance, European Finance Association, vol. 23(1), pages 1-35.
    5. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    6. Sadka, Ronnie, 2006. "Momentum and post-earnings-announcement drift anomalies: The role of liquidity risk," Journal of Financial Economics, Elsevier, vol. 80(2), pages 309-349, May.
    7. Hou, Kewei & Xue, Chen & Zhang, Lu, 2017. "Replicating Anomalies," Working Paper Series 2017-10, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    8. Qi Zhang & Charlie Cai & Kevin Keasey, 2014. "The profitability, costs and systematic risk of the post-earnings-announcement-drift trading strategy," Review of Quantitative Finance and Accounting, Springer, vol. 43(3), pages 605-625, October.
    9. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    10. Li, Zhaochu & Lytvynenko, Iryna P., 2021. "Currency fluctuations and the post-earnings announcement drift," Finance Research Letters, Elsevier, vol. 40(C).
    11. Wang, Weimin & (Frank) Wang, Xu, 2014. "Predicting earnings in a poor information environment," Journal of Contemporary Accounting and Economics, Elsevier, vol. 10(1), pages 46-58.
    12. Zhang, Yeqing & Zhang, Xueyong, 2020. "Patent growth and the long-run performance of VC-backed IPOs," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 33-47.
    13. Fernando Rubio, 2005. "Estrategias Cuantitativas De Valor Y Retornos Por Accion De Largo," Finance 0503029, University Library of Munich, Germany.
    14. Lu Zhang, 2019. "Q-factors and Investment CAPM," NBER Working Papers 26538, National Bureau of Economic Research, Inc.
    15. Erica X. N. Li & Dmitry Livdan & Lu Zhang, 2009. "Anomalies," The Review of Financial Studies, Society for Financial Studies, vol. 22(11), pages 4301-4334, November.
    16. Chen, Linda H. & Jiang, George J. & Zhu, Kevin X., 2018. "Total attention: The effect of macroeconomic news on market reaction to earnings news," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 142-156.
    17. Qin Lei & Xuewu Wang, 2014. "Time†Varying Liquidity Trading, Private Information and Insider Trading," European Financial Management, European Financial Management Association, vol. 20(2), pages 321-351, March.
    18. Lin, Xiaoji, 2012. "Endogenous technological progress and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 103(2), pages 411-427.
    19. Leonid Kogan & Mary Tian, 2012. "Firm characteristics and empirical factor models: a data-mining experiment," International Finance Discussion Papers 1070, Board of Governors of the Federal Reserve System (U.S.).
    20. Juwon Jang & Eunju Lee, 2021. "Do record earnings affect market reactions to earnings news?," Review of Quantitative Finance and Accounting, Springer, vol. 56(4), pages 1259-1287, May.

    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:kap:rqfnac:v:26:y:2006:i:4:p:391-408. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://springer.com .

    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.