IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v51y2019i43p4742-4756.html
   My bibliography  Save this article

Dynamic causality between the U.S. stock market, the Chinese stock market and the global gold market: implications for individual investors’ diversification strategies

Author

Listed:
  • Ganghua Mei
  • Robert McNown

Abstract

This paper proposes a generalization of the prior VAR and EGARCH model to explore the linkage between returns and volatility transmissions in the U.S. stock market, the Chinese stock market, and the global gold market from 10 July 1996 to 20 July 2018. We found that past returns of the U.S. stock market can predict the current returns of the other two markets, and that significant reciprocal volatility transmission existed within and across all three markets. We further implemented average out-of-sample (OOS) forecasting to show that a risk-adjusted portfolio, such as mean-variance with sample estimator, does not outperform an equal-weighted portfolio. This provides insights for individual investors and helps to explain the ongoing disagreement in the portfolio literature concerning the effectiveness of risk-adjusted portfolios and equal-weighted portfolios when the number of assets is small.

Suggested Citation

  • Ganghua Mei & Robert McNown, 2019. "Dynamic causality between the U.S. stock market, the Chinese stock market and the global gold market: implications for individual investors’ diversification strategies," Applied Economics, Taylor & Francis Journals, vol. 51(43), pages 4742-4756, September.
    • Handle: RePEc:taf:applec:v:51:y:2019:i:43:p:4742-4756
    DOI: 10.1080/00036846.2019.1601156
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2019.1601156
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2019.1601156?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hemant Manuj, 2021. "Is Gold a Hedge against Stock Price Risk in U.S. or Indian Markets?," Risks, MDPI, vol. 9(10), pages 1-14, September.
    2. Yun Shi & Lin Yang & Mei Huang & Jun Steed Huang, 2021. "Multi-Factorized Semi-Covariance of Stock Markets and Gold Price," JRFM, MDPI, vol. 14(4), pages 1-11, April.

    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:taf:applec:v:51:y:2019:i:43:p:4742-4756. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.