IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v21y2008i6p2635-2676.html
   My bibliography  Save this article

Information Quality and Options

Author

Listed:
  • Joel M. Vanden

Abstract

Microstructure researchers have long understood that information quality has an effect on price formation in the underlying asset market. However, option researchers have largely ignored the fact that information quality might also impact the options market. This article characterizes the nature of the impact by showing how option prices and implied volatility levels are related to the forward looking information quality path. This result follows from a noisy rational expectations model that abandons the normal distribution in favor of the gamma distribution, but maintains the standard assumption of exponential utility. Thus the new model bridges the gap between the microstructure literature that relies so heavily on the normal-exponential framework, and the options literature that relies exclusively on models that are consistent with the limited liability of stock prices. The model's tractability allows for a robustness check against the standard framework and provides a viable setting for analyzing the empirical implications of information quality for the options market. The Author 2007. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org., Oxford University Press.

Suggested Citation

  • Joel M. Vanden, 2008. "Information Quality and Options," The Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2635-2676, November.
  • Handle: RePEc:oup:rfinst:v:21:y:2008:i:6:p:2635-2676
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhl040
    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. William Arrata & Alejandro Bernales & Virginie Coudert, 2013. "The effects of Derivatives on Underlying Financial Markets: Equity Options, Commodity Futures and Credit Default Swaps," Post-Print hal-01410748, HAL.
    2. Rey, Hélène & Jamilov, Rustam & Tahoun, Ahmed, 2021. "The Anatomy of Cyber Risk," CEPR Discussion Papers 16217, C.E.P.R. Discussion Papers.
    3. Georgy Chabakauri & Kathy Yuan & Konstantinos E Zachariadis, 2022. "Multi-asset Noisy Rational Expectations Equilibrium with Contingent Claims," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(5), pages 2445-2490.
    4. Joel Vanden, 2015. "Noisy information and the size effect in stock returns," Annals of Finance, Springer, vol. 11(1), pages 77-107, February.
    5. Bernales, Alejandro & Cañón, Carlos & Verousis, Thanos, 2018. "Bid–ask spread and liquidity searching behaviour of informed investors in option markets," Finance Research Letters, Elsevier, vol. 25(C), pages 96-102.
    6. Rainer Baule & Bart Frijns & Milena E. Tieves, 2018. "Volatility discovery and volatility quoting on markets for options and warrants," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(7), pages 758-774, July.
    7. Condie, Scott & Ganguli, Jayant, 2017. "The pricing effects of ambiguous private information," Journal of Economic Theory, Elsevier, vol. 172(C), pages 512-557.
    8. Alexandridis, Antonios K. & Apergis, Iraklis & Panopoulou, Ekaterini & Voukelatos, Nikolaos, 2023. "Equity premium prediction: The role of information from the options market," Journal of Financial Markets, Elsevier, vol. 64(C).
    9. Rainer Baule & Olaf Korn & Sven Saßning, 2016. "Which Beta Is Best? On the Information Content of Option†implied Betas," European Financial Management, European Financial Management Association, vol. 22(3), pages 450-483, June.
    10. Pablo Neudorfer, 2022. "Tail risk in the fossil fuel industry: an option implied analysis around the unburnable carbon news," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(1), pages 493-511, March.
    11. Alexander Kempf & Olaf Korn & Sven Saßning, 2015. "Portfolio Optimization Using Forward-Looking Information," Review of Finance, European Finance Association, vol. 19(1), pages 467-490.
    12. Alejandro Bernales & Massimo Guidolin, 2013. "The Effects of Information Asymmetries on the Success of Stock Option Listings," Working Papers 484, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    13. Emiliano Pagnotta, 2016. "Chasing Private Information," 2016 Meeting Papers 1673, Society for Economic Dynamics.
    14. Bernales, Alejandro, 2017. "The success of option listings," Journal of Empirical Finance, Elsevier, vol. 40(C), pages 139-161.
    15. DeMiguel, Victor & Plyakha, Yuliya & Uppal, Raman & Vilkov, Grigory, 2013. "Improving Portfolio Selection Using Option-Implied Volatility and Skewness," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(6), pages 1813-1845, December.
    16. Niels C. Thygesen & Robert N. McCauley & Guonan Ma & William R. White & Jakob de Haan & Willem van den End & Jon Frost & Christiaan Pattipeilohy & Mostafa Tabbae & Ernest Gnan & Morten Balling & Paul , 2013. "50 Years of Money and Finance: Lessons and Challenges," SUERF 50th Anniversary Volume - 50 Years of Money and Finance: Lessons and Challenges, SUERF - The European Money and Finance Forum, number 1 edited by Morten Balling & Ernest Gnan, March.
    17. A. Bernales, 2014. "The Effects of Information Asymmetries on the Ex-Post Success of Stock Option Listings," Working papers 495, Banque de France.
    18. Kempf, Alexander & Korn, Olaf & Saßning, Sven, 2011. "Portfolio optimization using forward-looking information," CFR Working Papers 11-10, University of Cologne, Centre for Financial Research (CFR).
    19. Kempf, Alexander & Korn, Olaf & Saßning, Sven, 2014. "Portfolio optimization using forward-looking information," CFR Working Papers 11-10 [rev.], University of Cologne, Centre for Financial Research (CFR).
    20. Baule, Rainer & Korn, Olaf & Saßning, Sven, 2013. "Which beta is best? On the information content of option-implied betas," CFR Working Papers 13-11, University of Cologne, Centre for Financial Research (CFR).
    21. Peter Cziraki & Jordi Mondria & Thomas Wu, 2021. "Asymmetric Attention and Stock Returns," Management Science, INFORMS, vol. 67(1), pages 48-71, January.

    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:21:y:2008:i:6:p:2635-2676. 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.