IDEAS home Printed from https://ideas.repec.org/a/bla/mathfi/v25y2015i2p426-456.html
   My bibliography  Save this article

Correlation Under Stress In Normal Variance Mixture Models

Author

Listed:
  • Michael Kalkbrener
  • Natalie Packham

Abstract

No abstract is available for this item.

Suggested Citation

  • Michael Kalkbrener & Natalie Packham, 2015. "Correlation Under Stress In Normal Variance Mixture Models," Mathematical Finance, Wiley Blackwell, vol. 25(2), pages 426-456, April.
  • Handle: RePEc:bla:mathfi:v:25:y:2015:i:2:p:426-456
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/mafi.2015.25.issue-2
    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. Jeonggyu Huh, 2018. "Measuring Systematic Risk with Neural Network Factor Model," Papers 1809.04925, arXiv.org.
    2. Ansari, Jonathan & Shushi, Tomer & Vanduffel, Steven, 2024. "Up- and down-correlations in normal variance mixture models," Statistics & Probability Letters, Elsevier, vol. 205(C).
    3. Maugis, Pierre-André G., 2019. "Correlation extrapolated," Statistics & Probability Letters, Elsevier, vol. 145(C), pages 89-95.
    4. Huh, Jeonggyu, 2020. "Measuring systematic risk with neural network factor model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    5. Nils Bertschinger & Axel A. Araneda, 2021. "Cross-ownership as a structural explanation for rising correlations in crisis times," Papers 2112.04824, arXiv.org.

    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:bla:mathfi:v:25:y:2015:i:2:p:426-456. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0960-1627 .

    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.