IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v12y2005i4p199-202.html
   My bibliography  Save this article

Forecasting inflation using the term structure and MARS

Author

Listed:
  • Peter Sephton

Abstract

This study revisits the issue of forecasting changes in inflation using non-linear non-parametric methods. The results indicate the presence of threshold effects in the relationship between the information in the term structure and changes in the rate of inflation.

Suggested Citation

  • Peter Sephton, 2005. "Forecasting inflation using the term structure and MARS," Applied Economics Letters, Taylor & Francis Journals, vol. 12(4), pages 199-202.
    • Handle: RePEc:taf:apeclt:v:12:y:2005:i:4:p:199-202
    DOI: 10.1080/1350485042000318448
    as

    Download full text from publisher

    File URL: http://www.informaworld.com/openurl?genre=article&doi=10.1080/1350485042000318448&magic=repec&7C&7C8674ECAB8BB840C6AD35DC6213A474B5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1350485042000318448?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.

    References listed on IDEAS

    as
    1. Frederic S. Mishkin, 1989. "A Multi-Country Study of the Information in the Term Structure about Future Inflation," NBER Working Papers 3125, National Bureau of Economic Research, Inc.
    2. Mishkin, Frederic S., 1990. "What does the term structure tell us about future inflation?," Journal of Monetary Economics, Elsevier, vol. 25(1), pages 77-95, January.
    3. Mishkin, Frederic S., 1991. "A multi-country study of the information in the shorter maturity term structure about future inflation," Journal of International Money and Finance, Elsevier, vol. 10(1), pages 2-22, March.
    4. Frederic S. Mishkin, 1990. "The Information in the Longer Maturity Term Structure about Future Inflation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(3), pages 815-828.
    5. Peter Sephton, 2001. "Forecasting recessions: can we do better on MARS?," Review, Federal Reserve Bank of St. Louis, vol. 83(Mar), pages 39-49.
    6. William Poole, 2001. "Monetary policy in uncertain times," Speech 63, Federal Reserve Bank of St. Louis.
    7. Granger, Clive W J & Hallman, Jeffrey J, 1991. "Long Memory Series with Attractors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 53(1), pages 11-26, February.
    8. Greg Tkacz, 2000. "Non-Parametric and Neural Network Models of Inflation Changes," Staff Working Papers 00-7, Bank of Canada.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. David Bolder & Tiago Rubin, 2007. "Optimization in a Simulation Setting: Use of Function Approximation in Debt Strategy Analysis," Staff Working Papers 07-14, Bank of Canada.
    2. Jan-Erik Antipin & Farid Jimmy Boumediene & Pär Österholm, 2014. "Forecasting Inflation Using Constant Gain Least Squares," Australian Economic Papers, Wiley Blackwell, vol. 53(1-2), pages 2-15, June.
    3. Peter Sephton, 2008. "Critical values of the augmented fractional Dickey–Fuller test," Empirical Economics, Springer, vol. 35(3), pages 437-450, November.
    4. Sephton, Peter & Mann, Janelle, 2018. "Gold and crude oil prices after the great moderation," Energy Economics, Elsevier, vol. 71(C), pages 273-281.
    5. Sephton, Peter S., 2019. "El Niño, La Niña, and a cup of Joe," Energy Economics, Elsevier, vol. 84(C).

    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. Tkacz, Greg, 2004. "Inflation changes, yield spreads, and threshold effects," International Review of Economics & Finance, Elsevier, vol. 13(2), pages 187-199.
    2. 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.
    3. 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.
    4. Gerlach, Stefan, 2003. "Interpreting the term structure of interbank rates in Hong Kong," Pacific-Basin Finance Journal, Elsevier, vol. 11(5), pages 593-609, November.
    5. Kursat Kunter & Norbert Janssen, 2002. "Credibility Of Monetary Regimes : Is Inflation Targeting Different?," Discussion Papers 0201, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    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. Barros Luís, Jorge & Cassola, Nuno, 2001. "A two-factor model of the German term structure of interest rates," Working Paper Series 46, European Central Bank.
    8. Arturo Estrella & Frederic S. Mishkin, 1995. "The Term Structure of Interest Rates and Its Role in Monetary Policy for The European Central Bank," NBER Working Papers 5279, National Bureau of Economic Research, Inc.
    9. Hibiki Ichiue, 2004. "Why Can the Yield Curve Predict Output Growth, Inflation, and Interest Rates? An Analysis with an Affine Term Structure Model," Bank of Japan Working Paper Series 04-E-11, Bank of Japan.
    10. Ivanova, Detelina & Lahiri, Kajal & Seitz, Franz, 2000. "Interest rate spreads as predictors of German inflation and business cycles," International Journal of Forecasting, Elsevier, vol. 16(1), pages 39-58.
    11. van Bergeijk, Peter A. G. & Berk, Jan Marc, 2000. "Is the yield curve a useful Information variable for the Eurosystem?," Working Paper Series 0011, European Central Bank.
    12. Viktor Kotlán, 2001. "Monetary policy and the term structure of interest rates in a small open economy - a model framework approach," Macroeconomics 0110003, University Library of Munich, Germany.
    13. Barros Luís, Jorge & Cassola, Nuno, 2001. "A two-factor model of the German term structure of interest rates," Working Paper Series 0046, European Central Bank.
    14. 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.
    15. 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.
    16. Omay, Tolga, 2008. "The Term Structure of Interest Rate as a Predictor of Inflation and Real Economic Activity: Nonlinear Evidence from Turkey," MPRA Paper 28572, University Library of Munich, Germany.
    17. Yutaka Kurihara, 2016. "Term Structure of Interest Rates under Zero or Low Bound: The Recent Japanese Case," Economy, Asian Online Journal Publishing Group, vol. 3(1), pages 19-23.
    18. Manqoba Ntshakala & Laurence Harris, 2018. "The information content of the yield spread about future inflation in South Africa," WIDER Working Paper Series wp-2018-63, World Institute for Development Economic Research (UNU-WIDER).
    19. Ang, Andrew & Bekaert, Geert & Wei, Min, 2007. "Do macro variables, asset markets, or surveys forecast inflation better?," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1163-1212, May.
    20. Viktor Kotlan, 2002. "Monetary Policy and the Term Spread in a Macro Model of a Small Open Economy," Working Papers 2002/01, Czech National Bank.

    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:apeclt:v:12:y:2005:i:4:p:199-202. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.