Term structure determinants of time‐varying risk of 1‐year bond returns

2019 ◽  
Vol 55 (3) ◽  
pp. 365-384
Author(s):  
Revansiddha Basavaraj Khanapure
Author(s):  
Feng Zhao ◽  
Guofu Zhou ◽  
Xiaoneng Zhu

We examine the macro-spanning hypothesis for bond returns in international markets. Based on a large panel of real-time macroeconomic variables that are not subject to revisions, we find that global macro factors have predictive power for bond returns unspanned by yield factors. Furthermore, we estimate macro-finance term structure models with the unspanned global macro factors and find that the global macro factors influence the market prices of level and slope risks and induce comovements in forward term premia in global bond markets. This paper was accepted by David Simchi-Levi, finance.


2017 ◽  
Vol 07 (04) ◽  
pp. 1750011 ◽  
Author(s):  
Michael Gallmeyer ◽  
Burton Hollifield ◽  
Francisco Palomino ◽  
Stanley Zin

We explore the bond-pricing implications of an exchange economy where preference shocks result in time-varying term premiums in real yields with a Taylor rule determining inflation dynamics and nominal term premiums. We calibrate the model by matching the term structure of the means and volatilities of nominal yields. Unlike a model with exogenous inflation, a Taylor rule matching empirical properties of inflation leads to nominal term premiums that are volatile at long maturities. Increasing monetary policy aggressiveness decreases the level and volatility of nominal yields.


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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