IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789812810663_0012.html
   My bibliography  Save this book chapter

How To Use Self-Similarities To Discover Similarities Of Path-Dependent Options

In: Quantitative Analysis In Financial Markets Collected Papers of the New York University Mathematical Finance Seminar(Volume II)

Author

Listed:
  • ALEXANDER LIPTON

    (Deutsche Bank, Germany)

Abstract

It is well-known that self-similarity is a powerful concept which reveals the fundamental laws of physic. This concept has important financial applications as well. It allows one to study the properties of derivatives from a unified prospective and significantly simplifies their mathematical modelling and hedging. In the present paper, I show how the concept of self-similarity can be used in order to find similarities between various types of path-dependent options and price them in the unified framework. Specifically, I consider lookback, passport, Asian, and imperfectly hedged European options. I present some new important valuation formulas and rederive a few known ones by elementary means.

Suggested Citation

  • Alexander Lipton, 2001. "How To Use Self-Similarities To Discover Similarities Of Path-Dependent Options," World Scientific Book Chapters, in: Marco Avellaneda (ed.), Quantitative Analysis In Financial Markets Collected Papers of the New York University Mathematical Finance Seminar(Volume II), chapter 12, pages 317-334, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789812810663_0012
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789812810663_0012
    Download Restriction: Ebook Access is available upon purchase.

    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789812810663_0012
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

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

    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:wsi:wschap:9789812810663_0012. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    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.