IDEAS home Printed from https://ideas.repec.org/a/pal/imfstp/v41y1994i3p517-525.html
   My bibliography  Save this article

The Use of Financial Spreads as Indicator Variables: Evidence for the United Kingdom and Germany

Author

Listed:
  • E. P. Davis

    (International Monetary Fund)

  • S. G. B. Henry

    (International Monetary Fund)

Abstract

There has been growing interest in the use of financial spreads as advance indicators of real activity and inflation. Empirical evidence is marshalled on a range of spreads when these are used in vector autoregressive models of the U.K. and German economies. It is found that they do provide significant information, even after allowing for the effects of other influences upon macroeconomic activity.

Suggested Citation

  • E. P. Davis & S. G. B. Henry, 1994. "The Use of Financial Spreads as Indicator Variables: Evidence for the United Kingdom and Germany," IMF Staff Papers, Palgrave Macmillan, vol. 41(3), pages 517-525, September.
  • Handle: RePEc:pal:imfstp:v:41:y:1994:i:3:p:517-525
    as

    Download full text from publisher

    File URL: http://www.jstor.org/stable/3867439?origin=pubexport
    File Function: main text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Norbert Funke, 1997. "Predicting recessions: Some evidence for Germany," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 133(1), pages 90-102, March.
    2. Arturo Estrella & Frederic S. Mishkin, 1998. "Predicting U.S. Recessions: Financial Variables As Leading Indicators," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 45-61, February.
    3. Estrella, Arturo & Mishkin, Frederic S., 1997. "The predictive power of the term structure of interest rates in Europe and the United States: Implications for the European Central Bank," European Economic Review, Elsevier, vol. 41(7), pages 1375-1401, July.
    4. Esther Fernández Galar & Javier Gómez Biscarri, 2003. "Revisiting the Ability of Interest Rate Spreads to Predict Recessions: Evidence for a," Faculty Working Papers 04/03, School of Economics and Business Administration, University of Navarra.
    5. Arturo Estrella & Frederic S. Mishkin, 1995. "The term structure of interest rates and its role in monetary policy for the European Central Bank," Research Paper 9526, Federal Reserve Bank of New York.
    6. Harald Grech, 2004. "What Do German Short-Term Interest Rates Tell Us About Future Inflation?," Working Papers 94, Oesterreichische Nationalbank (Austrian Central Bank).
    7. Hamilton, James D & Kim, Dong Heon, 2002. "A Reexamination of the Predictability of Economic Activity Using the Yield Spread," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 340-360, May.
    8. Arturo Estrella & Anthony P. Rodrigues & Sebastian Schich, 2003. "How Stable is the Predictive Power of the Yield Curve? Evidence from Germany and the United States," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 629-644, August.
    9. Fernando Barran & Virginie Coudert & Benoît Mojon, 1995. "Taux d'intérêt, spreads, comportement bancaire : les effets sur l'activité réelle," Revue Économique, Programme National Persée, vol. 46(3), pages 625-634.
    10. Joseph G. Haubrich, 2021. "Does the Yield Curve Predict Output?," Annual Review of Financial Economics, Annual Reviews, vol. 13(1), pages 341-362, November.
    11. repec:onb:oenbwp:y::i:94:b:1 is not listed on IDEAS
    12. Michael J. Dueker, 1997. "Strengthening the case for the yield curve as a predictor of U.S. recessions," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 41-51.
    13. Tom Stark, 1998. "A Bayesian vector error corrections model of the U.S. economy," Working Papers 98-12, Federal Reserve Bank of Philadelphia.
    14. Nii Ayi Armah & Norman Swanson, 2011. "Some variables are more worthy than others: new diffusion index evidence on the monitoring of key economic indicators," Applied Financial Economics, Taylor & Francis Journals, vol. 21(1-2), pages 43-60.
    15. Fabio ALESSANDRINI, 2003. "Do Financial Variables Provide Information about the Swiss Business Cycle ?," Cahiers de Recherches Economiques du Département d'économie 03.02, Université de Lausanne, Faculté des HEC, Département d’économie.
    16. Leo Krippner, 2005. "Investigating the Relationships between the Yield Curve, Output and Inflation using an Arbitrage-Free Version of the Nelson and Siegel Class of Yield Curve Models," Working Papers in Economics 05/02, University of Waikato.
    17. Andrea Nobili, 2007. "Assessing the predictive power of financial spreads in the euro area: does parameters instability matter?," Empirical Economics, Springer, vol. 33(1), pages 177-195, July.
    18. Smets, Frank & Tsatsaronis, Kostas, 1997. "Why Does the Yield Curve Predict Economic Activity? Dissecting the Evidence for Germany and the United States," CEPR Discussion Papers 1758, C.E.P.R. Discussion Papers.
    19. Gebhardt Kirschgässner & Marcel Savioz, 2001. "Monetary Policy and Forecasts for Real GDP Growth: An Empirical Investigation for the Federal Republic of Germany," German Economic Review, Verein für Socialpolitik, vol. 2(4), pages 339-365, November.
    20. Valadkhani, Abbas, 2004. "Does the Term Structure Predict Australia's Future Output Growth?," Economic Analysis and Policy, Elsevier, vol. 34(2), pages 121-144, September.
    21. Hanns Hagen & Gebhard Kirchgässner, 1996. "Interest rate-based forecasts of german economic growth: A note," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 132(4), pages 763-773, December.
    22. Abdul Majid, Muhamed Zulkhibri, 2011. "Predicting Output and Inflation in Less Developed Financial Markets Using the Yield Curve: Evidence from Malaysia," MPRA Paper 29039, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    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:pal:imfstp:v:41:y:1994:i:3:p:517-525. 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.palgrave-journals.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.