IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v47y2015i19p1997-2011.html
   My bibliography  Save this article

Corporate yield curves as predictors of future economic and financial indicators

Author

Listed:
  • Dan Saar
  • Yossi Yagil

Abstract

The government yield curve is known for its ability to predict the future growth rate of the economy. Later studies showed that credit spreads can assist in predicting macroeconomic behaviour as well. We extend this notion by utilizing corporate yield curves and demonstrating that corporate yield curve spreads can predict future economic growth, the future state of the economy and stock market behaviour. In addition, our sample covers the most recent data available, and it also includes the crash year of 2008 and the recovery period following it. Our results reveal a trade-off effect between the government yield curve, which is a better predictor for long-term forecasting, and the corporate yield curves, which are better predictors for short-term predictions. In addition, we show that both the government and corporate yield curves are more effective in predicting negative rather than positive economic changes.

Suggested Citation

  • Dan Saar & Yossi Yagil, 2015. "Corporate yield curves as predictors of future economic and financial indicators," Applied Economics, Taylor & Francis Journals, vol. 47(19), pages 1997-2011, April.
  • Handle: RePEc:taf:applec:v:47:y:2015:i:19:p:1997-2011
    DOI: 10.1080/00036846.2014.1002898
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2014.1002898
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2014.1002898?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. Harri Ponka, 2017. "The Role of Credit in Predicting US Recessions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 469-482, August.

    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:47:y:2015:i:19:p:1997-2011. 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.