IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v32y2019i2p646-687..html
   My bibliography  Save this article

Option Pricing of Earnings Announcement Risks

Author

Listed:
  • Andrew Dubinsky
  • Michael Johannes
  • Andreas Kaeck
  • Norman J Seeger

Abstract

This paper uses option prices to learn about the equity price uncertainty surrounding information released on earnings announcement dates. To do this, we introduce reduced-form models and estimators to separate price uncertainty about earnings announcements from normal day-to-day volatility. Empirically, we find strong support for the importance of earnings announcements. We find that the anticipated price uncertainty is quantitatively large, varies across time, and is informative about the future return volatility. Finally, we quantify the impact of earnings announcements on formal option pricing models. Received April 13, 2017; editorial decision February 5, 2018 by Editor Stijn Van Nieuwerburgh. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Suggested Citation

  • Andrew Dubinsky & Michael Johannes & Andreas Kaeck & Norman J Seeger, 2019. "Option Pricing of Earnings Announcement Risks," The Review of Financial Studies, Society for Financial Studies, vol. 32(2), pages 646-687.
  • Handle: RePEc:oup:rfinst:v:32:y:2019:i:2:p:646-687.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhy060
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Srivastava, Pranjal & Jacob, Joshy, 2022. "Risk information - normal markets and the COVID-19 pandemic period," IIMA Working Papers WP 2022-10-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    2. Darsh Kachhara & John K. E Markin & Astha Singh, 2023. "Option Smile Volatility and Implied Probabilities: Implications of Concavity in IV Curves," Papers 2307.15718, arXiv.org, revised Nov 2023.
    3. Li, Yubin & Zhao, Chen & Zhong, Zhaodong, 2019. "Price discrimination against retail Investors: Evidence from mini options," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 50-64.
    4. Derek Lemoine & Sarah Kapnick, 2024. "Financial markets value skillful forecasts of seasonal climate," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    5. Crego, Julio & Gider, Jasmin, 2024. "The dynamic informativeness of scheduled news," Other publications TiSEM d4538ed2-3aeb-4259-b1f1-2, Tilburg University, School of Economics and Management.
    6. An N. Q. Cao & Michel A. Robe, 2022. "Market uncertainty and sentiment around USDA announcements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(2), pages 250-275, February.
    7. David Weinbaum & Andrew Fodor & Dmitriy Muravyev & Martijn Cremers, 2023. "Option Trading Activity, News Releases, and Stock Return Predictability," Management Science, INFORMS, vol. 69(8), pages 4810-4827, August.
    8. Yasser Alhenawi & M. Kabir Hassan, 2023. "How do investors price accrual risk during crises?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4684-4706, October.
    9. Zdeněk Drábek & Miloš Kopa & Matúš Maciak & Michal Pešta & Sebastiano Vitali, 2023. "Investment disputes and their explicit role in option market uncertainty and overall risk instability," Computational Management Science, Springer, vol. 20(1), pages 1-25, December.
    10. Sobhesh Kumar Agarwalla & Sumit Saurav & Jayanth R. Varma, 2022. "Lottery and bubble stocks and the cross‐section of option‐implied tail risks," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(2), pages 231-249, February.
    11. Augustin, Patrick & Brenner, Menachem & Grass, Gunnar & Orłowski, Piotr & Subrahmanyam, Marti G., 2022. "Informed options strategies before corporate events," LawFin Working Paper Series 39, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin).
    12. Zhanyu Chen & Kai Zhang & Hongbiao Zhao, 2022. "A Skellam market model for loan prime rate options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 525-551, March.
    13. Chen, Bei & Gan, Quan & Vasquez, Aurelio, 2023. "Anticipating jumps: Decomposition of straddle price," Journal of Banking & Finance, Elsevier, vol. 149(C).
    14. Crego, Julio A., 2020. "Why does public news augment information asymmetries?," Journal of Financial Economics, Elsevier, vol. 137(1), pages 72-89.
    15. Rebecca N. Hann & Heedong Kim & Yue Zheng, 2019. "Intra-industry information transfers: evidence from changes in implied volatility around earnings announcements," Review of Accounting Studies, Springer, vol. 24(3), pages 927-971, September.
    16. Suresh Govindaraj & Yubin Li & Chen Zhao, 2020. "The effect of option transaction costs on informed trading in the options market around earnings announcements," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(5-6), pages 615-644, May.
    17. Chen, Ding & Guo, Biao & Zhou, Guofu, 2023. "Firm fundamentals and the cross-section of implied volatility shapes," Journal of Financial Markets, Elsevier, vol. 63(C).
    18. Thaddeus Neururer, 2020. "Past managerial guidance and returns to variance trading around earnings announcements," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 2995-3031, September.
    19. Dorn, Daniel & Strobl, Günter, 2023. "Rational disposition effects: Theory and evidence," Journal of Banking & Finance, Elsevier, vol. 153(C).
    20. Ramachandran, Lakshmi Shankar & Tayal, Jitendra, 2021. "Mispricing, short-sale constraints, and the cross-section of option returns," Journal of Financial Economics, Elsevier, vol. 141(1), pages 297-321.
    21. Augustin, Patrick & Brenner, Menachem & Grass, Gunnar & Orłowski, Piotr & Subrahmanyam, Marti G., 2023. "Informed options strategies before corporate events," Journal of Financial Markets, Elsevier, vol. 63(C).
    22. Tom Adams & Thaddeus Neururer, 2020. "Earnings announcement timing, uncertainty, and volatility risk premiums," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1603-1630, October.
    23. Byounghyun Jeon & Sung Won Seo & Jun Sik Kim, 2020. "Uncertainty and the volatility forecasting power of option‐implied volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1109-1126, July.

    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:oup:rfinst:v:32:y:2019:i:2:p:646-687.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sfsssea.html .

    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.