IDEAS home Printed from https://ideas.repec.org/a/rre/publsh/v32y2002i2p151-170.html
   My bibliography  Save this article

Predicting Regional Recessions Via the Yield Spread

Author

Listed:
  • Gauger, Jean

    (The University of Tennessee, Knoxville)

  • Schunk, Don

    (University of South Carolina)

Abstract

This paper examines the ability of the slope of the yield curve to serve as a predictor of regional recessions. The ability of interest rate spreads to predict recessions has received considerable attention at the aggregate level. This paper offers evidence on the usefulness of rate spreads in predicting economic downturns at the regional level. The evidence points to regional differences in the ability of the U.S. yield curve to predict regional recessions. These differences are highlighted in the context of differing regional economic structures.

Suggested Citation

  • Gauger, Jean & Schunk, Don, 2002. "Predicting Regional Recessions Via the Yield Spread," The Review of Regional Studies, Southern Regional Science Association, vol. 32(2), pages 151-170, Summer/Fa.
  • Handle: RePEc:rre:publsh:v:32:y:2002:i:2:p:151-170
    as

    Download full text from publisher

    File URL: http://journal.srsa.org/ojs/index.php/RRS/article/view/32.2.1/pdf
    File Function: To View On Journal Page
    Download Restriction: no

    File URL: http://journal.srsa.org/ojs/index.php/RRS/article/download/32.2.1/266
    File Function: To Download Article
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Christopher J. Neely, 2000. "What is the slope of the yield curve telling us?," Monetary Trends, Federal Reserve Bank of St. Louis, issue Aug.
    3. Charles B. Garrison & Hui S. Chang, 1979. "The Effect of Monetary and Fiscal Policies on Regional Business Cycles," International Regional Science Review, , vol. 4(2), pages 167-180, December.
    4. Estrella, Arturo, 1998. "A New Measure of Fit for Equations with Dichotomous Dependent Variables," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 198-205, April.
    5. Gerald A. Carlino & Robert H. DeFina, 1997. "The differential regional effects of monetary policy: evidence from the U.S. States," Working Papers 97-12, Federal Reserve Bank of Philadelphia.
    6. Estrella, Arturo & Hardouvelis, Gikas A, 1991. "The Term Structure as a Predictor of Real Economic Activity," Journal of Finance, American Finance Association, vol. 46(2), pages 555-576, June.
    7. Gerald Carlino & Robert Defina, 1998. "The Differential Regional Effects Of Monetary Policy," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 572-587, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ibarra-Ramírez Raúl, 2021. "The Yield Curve as a Predictor of Economic Activity in Mexico: The Role of the Term Premium," Working Papers 2021-07, Banco de México.
    2. , & Stein, Tobias, 2021. "Equity premium predictability over the business cycle," CEPR Discussion Papers 16357, C.E.P.R. Discussion Papers.
    3. Fabio Moneta, 2005. "Does the Yield Spread Predict Recessions in the Euro Area?," International Finance, Wiley Blackwell, vol. 8(2), pages 263-301, August.
    4. Fernandez-Perez, Adrian & Fernández-Rodríguez, Fernando & Sosvilla-Rivero, Simón, 2014. "The term structure of interest rates as predictor of stock returns: Evidence for the IBEX 35 during a bear market," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 21-33.
    5. Javier Gómez, 2007. "Changes in the Informational Content of the Spread: Is Monetary Policy Becoming Less Effective?," Faculty Working Papers 05/07, School of Economics and Business Administration, University of Navarra.
    6. Mathias Moersch & Armin Pohl, 2011. "Predicting recessions with the term spread - recent evidence from seven countries," Applied Economics Letters, Taylor & Francis Journals, vol. 18(13), pages 1285-1288.
    7. Masagus M. Ridhwan & Henri L. F. Groot & Piet Rietveld & Peter Nijkamp, 2014. "The Regional Impact of Monetary Policy in Indonesia," Growth and Change, Wiley Blackwell, vol. 45(2), pages 240-262, June.
    8. Henri Nyberg, 2010. "Dynamic probit models and financial variables in recession forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 215-230.
    9. 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.
    10. Heikki Kauppi, 2008. "Yield-Curve Based Probit Models for Forecasting U.S. Recessions: Stability and Dynamics," Discussion Papers 31, Aboa Centre for Economics.
    11. Ng, Eric C.Y., 2012. "Forecasting US recessions with various risk factors and dynamic probit models," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 112-125.
    12. Javier Gomez-Biscarri, 2009. "The predictive power of the term spread revisited: a change in the sign of the predictive relationship," Applied Financial Economics, Taylor & Francis Journals, vol. 19(14), pages 1131-1142.
    13. Gomez-Biscarri, Javier, 2008. "Changes in the informational content of term spreads: Is monetary policy becoming less effective?," Journal of Economics and Business, Elsevier, vol. 60(5), pages 415-435.
    14. Jonas Dovern & Christina Ziegler, 2008. "Predicting Growth Rates and Recessions. Assessing U.S. Leading Indicators under Real-Time Condition," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 54(4), pages 293-318.
    15. Oral Erdogan & Paul Bennett & Cenktan Ozyildirim, 2015. "Recession Prediction Using Yield Curve and Stock Market Liquidity Deviation Measures," Review of Finance, European Finance Association, vol. 19(1), pages 407-422.
    16. Masashi Hasegawa & Yuichi Fukuta, 2011. "An empirical analysis of information in the yield spread on future recessions in Japan," Applied Economics, Taylor & Francis Journals, vol. 43(15), pages 1865-1881.
    17. Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
    18. Leung, Charles Ka Yui & Teo, Wing Leong, 2011. "Should the optimal portfolio be region-specific? A multi-region model with monetary policy and asset price co-movements," Regional Science and Urban Economics, Elsevier, vol. 41(3), pages 293-304, May.
    19. Franck Sédillot, 2001. "La pente des taux contient-elle de l'information sur l'activité économique future ?," Economie & Prévision, La Documentation Française, vol. 147(1), pages 141-157.
    20. Carlos A. Rodríguez, 2018. "Fuentes de las fluctuaciones macroeconómicas en Puerto Rico\Sources of macroeconomic fluctuations in Puerto Rico," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 33(2), pages 219-252.

    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:rre:publsh:v:32:y:2002:i:2:p:151-170. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Tammy Leonard & Lei Zhang (email available below). General contact details of provider: http://www.srsa.org .

    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.