IDEAS home Printed from https://ideas.repec.org/a/wsi/gejxxx/v21y2021i03ns2194565921500160.html
   My bibliography  Save this article

The Spillover, Risk And Leverage Effects Of Smart Beta Management Exchange-Traded Fund (Etf)

Author

Listed:
  • JO-HUI CHEN

    (Department of Finance, Chung Yuan Christian University, Zhongli 32023, Taiwan)

  • NICHOLAS EDWARDS

    (College of Business, Chung Yuan Christian University, Zhongli 32023, Taiwan)

Abstract

This research uses two different GARCH models to measure spillover, risk, and leverage effects of active, passive, and smart beta management Exchange-traded Funds (ETFs). The increase in popularity of ETFs and new categories within them, specifically the growth of smart beta management, means asset managers and investors have new metrics to account for when determining portfolio exposure following the Adaptive Investment Approach (AIA). The results show significant relationships among all groups regarding the spillover. A trend of positive multi-lateral spillover of returns among the three management types including passive, active and small beta is observed with smart beta showing the highest percentage of a bi-lateral positive effect. The strongest spillover of volatility effects is among the actively managed ETFs. The testing of risk results is insignificant, but the leverage effect results are consistent with the past studies showing the significant negative bi-lateral effect.

Suggested Citation

  • Jo-Hui Chen & Nicholas Edwards, 2021. "The Spillover, Risk And Leverage Effects Of Smart Beta Management Exchange-Traded Fund (Etf)," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 21(03), pages 1-24, September.
  • Handle: RePEc:wsi:gejxxx:v:21:y:2021:i:03:n:s2194565921500160
    DOI: 10.1142/S2194565921500160
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S2194565921500160
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S2194565921500160?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.

    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:gejxxx:v:21:y:2021:i:03:n:s2194565921500160. 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: https://www.worldscientific.com/worldscinet/gej .

    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.