IDEAS home Printed from
   My bibliography  Save this article

The Relation between Option Mispricing and Volume in the Black-Scholes Option Model


  • Long, D Michael
  • Officer, Dennis T


We investigate the relation between mispricing in the Black-Scholes option pricing (BSOP) model and volume in the option market. Our results indicate heavily traded call options are priced more efficiently and have lower mispricing errors than thinly traded options. However, this relation shifts significantly on days when call option trading is high. On high-volume days, the BSOP model mispricing errors are significantly larger than mispricing errors on normal-volume days. We believe large increases in volume may reflect new and changing market information, thus making pricing less efficient in the BSOP model.

Suggested Citation

  • Long, D Michael & Officer, Dennis T, 1997. "The Relation between Option Mispricing and Volume in the Black-Scholes Option Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(1), pages 1-12, Spring.
  • Handle: RePEc:bla:jfnres:v:20:y:1997:i:1:p:1-12

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    1. Pettengill, Glenn N. & Sundaram, Sridhar & Mathur, Ike, 1995. "The Conditional Relation between Beta and Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(01), pages 101-116, March.
    2. repec:bla:joares:v:31:y:1993:i:2:p:216-230 is not listed on IDEAS
    3. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    4. Lucy F. Ackert & William C. Hunter, 1994. "Rational Expectations And The Dynamic Adjustment Of Security Analysts' Forecasts To New Information," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 17(3), pages 387-401, September.
    5. repec:bla:joares:v:29:y:1991:i:1:p:170-179 is not listed on IDEAS
    6. Bhardwaj, Ravinder K & Brooks, LeRoy D, 1992. " The January Anomaly: Effects of Low Share Price, Transaction Costs, and Bid-Ask Bias," Journal of Finance, American Finance Association, vol. 47(2), pages 553-575, June.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Wen-chung Guo & Ying-huei Chen, 2014. "Pricing of put warrants and competition among issuers," Economics Bulletin, AccessEcon, vol. 34(4), pages 2315-2323.
    2. Panayiotis Andreou & Chris Charalambous & Spiros Martzoukos, 2006. "Robust Artificial Neural Networks for Pricing of European Options," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 329-351, May.
    3. Robert E.J. Hibbard & Rob Brown & Keith R. McLaren, 2002. "Nonsimultaneity and Futures Option Pricing: Simulation and Empirical Evidence," Monash Econometrics and Business Statistics Working Papers 13/02, Monash University, Department of Econometrics and Business Statistics.

    More about this item


    Access and download statistics


    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:bla:jfnres:v:20:y:1997:i:1:p:1-12. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.