IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v532y2019ics037843711931026x.html
   My bibliography  Save this article

Merton’s equation and the quantum oscillator II: Option pricing

Author

Listed:
  • Baaquie, Belal Ehsan

Abstract

Merton has proposed a model for contingent claims on a firm as an option on the firms value, and is based on a generalization of the Black–Scholes stochastic equation (Merton, 1974). A special case of Merton’s model is proposed – based on the quantum oscillator – for pricing options. Two cases of the option price are obtained: both these cases yield possible candidates for the generalization of the Black–Scholes option pricing formula. However, one of the proposed option prices does not obey the martingale condition and the other does not yield the correct discounting of future cash flows. For these reasons, the option prices do not obey put–call parity. The options can, however, be used to approximately price market traded options. The oscillator model for the option price has an extra parameter that is absent for the Black–Scholes case. Similar to the model studied by Baaquie et al. (2014), which that does not obey put–call parity, the option’s price can be studied empirically and the extra parameter in the model could, in principal, generate implied volatility.

Suggested Citation

  • Baaquie, Belal Ehsan, 2019. "Merton’s equation and the quantum oscillator II: Option pricing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 532(C).
  • Handle: RePEc:eee:phsmap:v:532:y:2019:i:c:s037843711931026x
    DOI: 10.1016/j.physa.2019.121792
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843711931026X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2019.121792?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.

    Citations

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


    Cited by:

    1. Baaquie, Belal Ehsan, 2020. "Merton’s equation and the quantum oscillator: Pricing risky corporate coupon bonds," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).

    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:eee:phsmap:v:532:y:2019:i:c:s037843711931026x. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.