IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/2mpwh.html
   My bibliography  Save this paper

The Pearson Correlation Model – Work of the Devil?

Author

Listed:
  • Huyền, Nguyễn Thanh Thanh

Abstract

While by far the most applied correlation model in finance, the Pearson correlation model is – due to its simplicity and linearity – also the most heavily criticised: “Anything that relies on correlation is charlatanism” (Nassim Taleb) and “Instruments whose pricing requires the input of correlation … are accidents waiting to happen” (Paul Wilmott). In this chapter we address this contradiction and evaluate whether the Pearson correlation approach is rigorous and suitable for modelling associations in finance.

Suggested Citation

  • Huyền, Nguyễn Thanh Thanh, 2015. "The Pearson Correlation Model – Work of the Devil?," OSF Preprints 2mpwh, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:2mpwh
    DOI: 10.31219/osf.io/2mpwh
    as

    Download full text from publisher

    File URL: https://osf.io/download/61d98db7da632012fefe6f5c/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/2mpwh?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
    ---><---

    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:osf:osfxxx:2mpwh. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.