IDEAS home Printed from https://ideas.repec.org/p/sce/scecfa/352.html
   My bibliography  Save this paper

Monetary Policy and the Term Structure: A Fully Structural DSGE approach

Author

Listed:
  • Massimiliano Marzo

    (University of Bologna)

  • Ulf Sodestrom

    (Bocconi University)

  • Paolo Zagaglia

    (Stockholm University and Bocconi University)

Abstract

This paper highlights the analysis of the term structure of interest rate within a full DSGE model. Our goal consists in setting up a full model including the feed-back from the economy to the term structure and vice-versa. Contrary to existing models of the term structure (TS, henceforth) (for example Ravenna and Seppala, 2005; Rudebusch and Wu, 2005), our framework includes different interest rates for different maturities within a full DSGE model. In this way, we obtain the link between interest rates at various maturities and the macroeconomy and vice-versa. The model presents time varying risk premia, according to the most recent evidence on Expectation Hypothesis of the Term Structure of Interest Rates. The stylized economy can replicate all the main facts of the empirical evidence as well as the in-sample forecasts. In particular, macro shocks account for the almost 90% of the variance in the five years spread. Moreover, demand shocks have a persistent positive effect on all yields; technology shocks have a persistent negative effect on all yields, a small effect on the slope and term premia, first increase and then fall. Fiscal policy shocks have a very small effect on yields, the slope and term premia. The structure of the economy is a standard DSGE model with nominal and real rigidities. The utility function includes consumption with habit formation as well as real money balances and working time. Nominal rigidities are represented by quadratic cost of price adjustment, Ã la Rotemberg (1982). Real rigidities are inserted via quadratic cost of capital installment. The term structure is inserted by including four types of government bonds with four different maturities: very short term (money market assets), short term (3-months bonds), medium (5-years bonds) and long term (10-years) bonds. In order not to make ay financial asset redundant, we introduce financial frictions under the form of quadratic adjustment of bond holdings with respect to the steady state. Moreover, there is imperfect substitutability between money and the various types of bonds. We solve the model up to first and second order. We evaluate the quantitative properties of the model and we study the in-sample fit of predictive regressions of the yield spread with respect to future output growth. We find that the sizable rejection of the Expectations Hypothesis is the key for accounting for the predictive power of the yield spread.

Suggested Citation

  • Massimiliano Marzo & Ulf Sodestrom & Paolo Zagaglia, 2006. "Monetary Policy and the Term Structure: A Fully Structural DSGE approach," Computing in Economics and Finance 2006 352, Society for Computational Economics.
  • Handle: RePEc:sce:scecfa:352
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Mike Artis & Hans-Martin Krolzig & Juan Toro, 2004. "The European business cycle," Oxford Economic Papers, Oxford University Press, vol. 56(1), pages 1-44, January.
    2. Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 119-136, Suppl. De.
    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. 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.
    5. Sensier, Marianne & Artis, Michael & Osborn, Denise R. & Birchenhall, Chris, 2004. "Domestic and international influences on business cycle regimes in Europe," International Journal of Forecasting, Elsevier, pages 343-357.
    6. Bec Frédérique & Ben Salem Mélika & Collard Fabrice, 2002. "Asymmetries in Monetary Policy Reaction Function: Evidence for U.S. French and German Central Banks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(2), pages 1-22, July.
    7. Clements, Michael P. & Franses, Philip Hans & Swanson, Norman R., 2004. "Forecasting economic and financial time-series with non-linear models," International Journal of Forecasting, Elsevier, vol. 20(2), pages 169-183.
    8. Giuseppe Marotta & Chiara Pederzoli & Costanza Torricelli, 2005. "Forward-looking estimation of default probabilities with Italian data," Heterogeneity and monetary policy 0504, Universita di Modena e Reggio Emilia, Dipartimento di Economia Politica.
    9. Galbraith, John W. & Tkacz, Greg, 2000. "Testing for asymmetry in the link between the yield spread and output in the G-7 countries," Journal of International Money and Finance, Elsevier, vol. 19(5), pages 657-672, October.
    10. Duarte, Agustin & Venetis, Ioannis A. & Paya, Ivan, 2005. "Predicting real growth and the probability of recession in the Euro area using the yield spread," International Journal of Forecasting, Elsevier, vol. 21(2), pages 261-277.
    11. Pederzoli, Chiara & Torricelli, Costanza, 2005. "Capital requirements and business cycle regimes: Forward-looking modelling of default probabilities," Journal of Banking & Finance, Elsevier, vol. 29(12), pages 3121-3140, December.
    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. 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.
    14. Amado Peiro, 2004. "Are business cycles asymmetric? Some European evidence," Applied Economics, Taylor & Francis Journals, vol. 36(4), pages 335-342.
    15. Vázquez Jesús, 2004. "Switching Regimes in the Term Structure of Interest Rates during U.S. Post-War: A Case for the Lucas Proof Equilibrium?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, pages 1-41.
    16. Bernard, Henri & Gerlach, Stefan, 1998. "Does the Term Structure Predict Recessions? The International Evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 3(3), pages 195-215, July.
    17. Ang, Andrew & Piazzesi, Monika & Wei, Min, 2006. "What does the yield curve tell us about GDP growth?," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 359-403.
    18. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, pages 788-829.
    19. Venetis, Ioannis A. & Paya, Ivan & Peel, David A., 2003. "Re-examination of the predictability of economic activity using the yield spread: a nonlinear approach," International Review of Economics & Finance, Elsevier, vol. 12(2), pages 187-206.
    20. Arturo Estrella, 2005. "Why Does the Yield Curve Predict Output and Inflation?," Economic Journal, Royal Economic Society, vol. 115(505), pages 722-744, July.
    21. Petko Kalev & Brett Inder, 2006. "The information content of the term structure of interest rates," Applied Economics, Taylor & Francis Journals, vol. 38(1), pages 33-45.
    22. Luca Stanca, 1999. "Asymmetries and nonlinearities in Italian macroeconomic fluctuations," Applied Economics, Taylor & Francis Journals, vol. 31(4), pages 483-491.
    23. Gianna Boero & Costanza Torricelli, 2002. "The information in the term structure of German interest rates," The European Journal of Finance, Taylor & Francis Journals, vol. 8(1), pages 21-45.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Term Structure; Bonds; Monetary Policy;

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications

    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:sce:scecfa:352. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/sceeeea.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.