Term Structures of Equity and Interest Rates in Time-Varying Expected Growth Models

2020 ◽  
Author(s):  
Michael Hasler ◽  
Mariana Khapko
2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Takeshi Kimura ◽  
Jouchi Nakajima

AbstractThis paper proposes a new estimation framework for identifying monetary policy shocks in both conventional and unconventional policy regimes using a structural VAR model. Exploiting a latent threshold modeling strategy that induces time-varying shrinkage of the parameters, we explore a recursive identification switching with a time-varying overidentification for the interest rate zero lower bound. We empirically analyze Japan’s monetary policy to illustrate the proposed approach for modeling regime-switching between conventional and unconventional monetary policy periods, and find that the proposed model is preferred over a nested standard time-varying parameter VAR model. The estimation results show that increasing bank reserves lowers long-term interest rates in the unconventional policy periods, and that the impulse responses of inflation and the output gap to a bank reserve shock appear to be positive but highly uncertain.


2011 ◽  
Vol 19 (3) ◽  
pp. 259-292 ◽  
Author(s):  
Takeaki Kariya ◽  
Jingsui Wang ◽  
Zhu Wang ◽  
Eiichi Doi ◽  
Yoshiro Yamamura

Author(s):  
Efthymios Argyropoulos ◽  
Elias Tzavalis

AbstractThis paper suggests a new empirical methodology of testing the predictions of the term spread between long and short-term interest rates about future changes of the former allowing for term premium effects, according to the rational expectations hypothesis of the term structure. To capture the effects of a time-varying term premium on the term spread, the paper relies on an empirically attractive affine Gaussian dynamic term structure model which assumes that the term structure of interest rates is spanned by three unobserved state variables. To retrieve accurate values of these variables from interest rates series, the paper suggests a new method which can overcome the effects of measurement (or pricing) errors inherent in these series on the estimates of the model. This method is assessed by a Monte Carlo study. Ignoring these errors will lead to biased estimates of term structure models. The empirical results of the paper provide support for the suggested term structure model. They show that this model can efficiently capture the time-varying term premium effects embodied in long-term interest rates, which can explain the failures of term spread to forecast future changes in long-term rates.


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