IDEAS home Printed from https://ideas.repec.org/a/spr/stmapp/v32y2023i5d10.1007_s10260-023-00702-4.html
   My bibliography  Save this article

Pre-selection in cointegration-based pairs trading

Author

Listed:
  • Marianna Brunetti

    (University of Rome Tor Vergata, CEFIN & CEIS)

  • Roberta De Luca

    (Bank of Italy)

Abstract

The paper compares the final profitability of a cointegration-based pairs trading strategy when pairs of stocks are pre-selected by means of seven different measures. Some of the measures considered have been extensively used in the pairs trading literature, while others represent a novelty in this type of application. We find that pre-selection matters, since the excess returns remarkably vary, in terms of both average and variability, depending on the metrics used. Differences in profitability by pre-selection metrics are retrieved even after considering commissions and cut rules, market impact, a stricter definition of the Spread reversion to the equilibrium and alternative cointegration tests. Besides, the pairs trading profitability is found to be heterogeneous across the different pre-selection metrics also in terms of exposure to the systematic stock-market risk factors.

Suggested Citation

  • Marianna Brunetti & Roberta De Luca, 2023. "Pre-selection in cointegration-based pairs trading," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(5), pages 1611-1640, December.
  • Handle: RePEc:spr:stmapp:v:32:y:2023:i:5:d:10.1007_s10260-023-00702-4
    DOI: 10.1007/s10260-023-00702-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10260-023-00702-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10260-023-00702-4?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.

    More about this item

    Keywords

    Pairs trading; Pre-selection; Cointegration; Spectral coherence; Risk factors;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

    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:stmapp:v:32:y:2023:i:5:d:10.1007_s10260-023-00702-4. 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.