IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-662-65827-7_3.html
   My bibliography  Save this book chapter

Asymmetric Jump-Telegraph Processes

In: Telegraph Processes and Option Pricing

Author

Listed:
  • Nikita Ratanov

    (Chelyabinsk State University)

  • Alexander D. Kolesnik

    (Institute of Mathematics and Computer Science)

Abstract

The concepts and results of Chap. 2 are generalised, first, to asymmetric processes equipped with jumps (of deterministic amplitudes) and having different alternating speeds and switching intensities, and then to other versions of piecewise deterministic processes. Processes with sequentially taken arbitrary states (self-exciting and self-fading processes) are studied. Further, various memory modes are considered, such as the case where the renewable state depends on the time elapsed in the previous state, or fully resumable restart. We introduce several more complicated modes of distribution of time intervals between successive switchings, which can be considered as a kind of self-exciting Hawkes process. First, there are double telegraph processes based on a doubly stochastic Poisson process, that is, on a point process with the switching intensity accumulated by the telegraph process. Second, we study piecewise linear processes, the regimes of which are switched at Poisson-modulated exponential time intervals. Finally, we present a process that is defined in an arbitrary topological space and follows two alternating patterns. A self-similar telegraph process is also built. With applications in mind, we supply all models with various types of jump components. Martingality and the Girsanov transform are also studied.

Suggested Citation

  • Nikita Ratanov & Alexander D. Kolesnik, 2022. "Asymmetric Jump-Telegraph Processes," Springer Books, in: Telegraph Processes and Option Pricing, edition 2, chapter 3, pages 65-188, Springer.
  • Handle: RePEc:spr:sprchp:978-3-662-65827-7_3
    DOI: 10.1007/978-3-662-65827-7_3
    as

    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
    for a similarly titled item that would be available.

    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:spr:sprchp:978-3-662-65827-7_3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.