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A Shadow-Rate Term Structure Model for the Euro Area

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  • Lemke, Wolfgang
  • Vladu, Andreea

Abstract

We model the dynamics of the euro area yield curve using a shadow-rate term structure model (SRTSM), with particular attention to the period since late 2011 when interest rates have been at the lowest level since the inception of EMU. The shadow rate is driven by latent factors with linear Gaussian dynamics, while the actual short rate is the maximum between the shadow rate and a lower bound (estimated at 10 bps) so that interest rates will never fall below that level. The estimated SRTSM performs attractively with respect to cross-sectional fit and forecast performance. The model implies that since mid-2012 the median horizon when future one-month rates would return to 50 bps has been ranging between about 25 and 40 months. Deriving such lift-off timing instead from the simple metric of the forward curve crossing 50 bps would underestimate the SRTSM-implied median timing by between 5 to 15 months. As a novelty in the literature, we analyze the effect of a downward shift in the lower bound on the yield curve: for short maturities, rates decrease one-to-one with a drop in the lower bound, while the effect diminishes for longer maturities. The shift-down in the euro area yield curve between April and June 2014 appears to partially reflect such a drop in the (perceived) lower bound.

Suggested Citation

  • Lemke, Wolfgang & Vladu, Andreea, 2015. "A Shadow-Rate Term Structure Model for the Euro Area," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113159, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc15:113159
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    References listed on IDEAS

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    Cited by:

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    2. Dreger, Christian & Gerdesmeier, Dieter & Roffia, Barbara, 2020. "The impact of credit for house price overvaluations in the euro area: Evidence from threshold models," MPRA Paper 99523, University Library of Munich, Germany.
    3. Rasa Stasiukynaite, 2017. "Understanding Monetary Policy Stance," Bank of Lithuania Occasional Paper Series 14, Bank of Lithuania.

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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects

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