scholarly journals Zero-Coupon Yields and the Cross-Section of Bond Prices

2021 ◽  
Author(s):  
N Aaron Pancost
Keyword(s):  
Term Structure ◽  
Yield Curve ◽  
Structure Model ◽  
Bond Prices ◽  
Cross Sectional ◽  
Term Structure Model ◽  
No Arbitrage ◽  
Affine Model ◽  
The Cross ◽  
Coupon Bond

Abstract I estimate a dynamic term structure model on an unbalanced panel of Treasury coupon bonds, without relying on an interpolated zero-coupon yield curve. A linearity-generating model, which separates the parameters that govern the cross-sectional and time-series moments of the model, takes about 8 min to estimate on a sample of over 1 million bond prices. The traditional exponential affine model takes about 2 hr, because of a convexity term in coupon-bond prices that cannot be concentrated out of the cross-sectional likelihood. I quantify the on-the-run premium and a “notes versus bonds” premium from 1990 to 2017 in a single, easy-to-estimate no-arbitrage model.

scholarly journals A Segmented and Observable Yield Curve for Colombia

2021 ◽  
Vol 10 (2) ◽  
pp. 179-200
Author(s):  
Carlos Castro-Iragorri ◽  
Juan Felipe Peña ◽  
Cristhian Rodríguez
Keyword(s):  
Term Structure ◽  
Yield Curve ◽  
Structure Model ◽  
Short Term ◽  
Bond Prices ◽  
Term Structure Model ◽  
Model Based ◽  
Forecasting Performance ◽  
Out Of Sample ◽  
Three Factor

Abstract Following (Almeida, Ardison, Kubudi, Simonsen, & Vicente, 2018) we implement a segmented three factor Nelson-Siegel model for the yield curve using daily observable bond prices and short term interbank rates for Colombia. The flexible estimation for each segment (short, medium, and long) provides an improvement over the classical Nelson-Siegel approach in particular in terms of in-sample and out-of-sample forecasting performance. A segmented term structure model based on observable bond prices provides a tool closer to the needs of practitioners in terms of reproducing the market quotes and allowing for independent local shocks in the different segments of the curve.

scholarly journals Estimating the Monetary Policy Measures of Japan in Shadow/ZLB Term Structure Model

2019 ◽  
Vol 6 (6) ◽  
pp. 126
Author(s):  
Rui WANG
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Term Structure ◽  
Yield Curve ◽  
Quantitative Measure ◽  
Structure Model ◽  
Term Structure Model ◽  
Bond Yield ◽  
Public Expectation ◽  
Policy Measures

In this paper, we follow the estimation methodology proposed by Krippner (2015) and use Japanese government bond yield curve data to estimate a shadow/ZLB term structure model. This model provides three estimated monetary policy measures, SSR, ETZ and EMS, which can be used to gauge the stance of monetary in a consistent way in both ZLB and non-ZLB environment. Japan has experienced a long period of the ZLB since 1999. The policy rate has already lost its function as an appropriate quantitative measure of monetary policy. The SSR estimated from the shadow/ZLB term structure model can evolve to negative level in the ZLB environment and provide consistent view of the stance of monetary policy as the positive short policy interest rate dose in the normal non-ZLB environment. The ETZ answers the question that how long the short interest rate will be expected to be restricted by the ZLB, which can be useful for the central bank as a reference for exit strategy of unconventional monetary easing or forward guidance on public expectation formation. The EMS measures the stance of monetary policy, relatively tight or relatively loose, in a consistent and comparable way under both ZLB and non-ZLB environment. The analysis shows that all three measures exhibit very good traceability of monetary policy in Japan, which can also be used as the proxy variables for the stance of monetary policy in other econometric procedures for policy evaluation.

Estimating and Forecasting the Term Structure of Korea Markets Using the Nelson-Siegel Model

2004 ◽  
Vol 12 (2) ◽  
pp. 101-126
Author(s):  
Joon Haeng Lee
Keyword(s):  
Term Structure ◽  
Yield Curve ◽  
Principal Component ◽  
Component Model ◽  
Structure Model ◽  
Sample Period ◽  
Term Structure Model ◽  
Long Run ◽  
Out Of Sample ◽  
Principal Component Model

This paper estimates and forecasts yield curve of korea bond market using a three factor term structure model based on the Nelson-Siegel model. The Nelson-Siegel model is in-terpreted as a model of level, slope and curvature and has the flexibility required to match the changing shape of the yield curve. To estimate this model, we use the two-step estima-tion procedure as in Diebold and Li. Estimation results show our model is Quite flexible and gives a very good fit to data. To see the forecasting ability of our model, we compare the RMSEs (root mean square error) of our model to random walk (RW) model and principal component model for out-of sample period as well as in-sample period. we find that our model has better forecasting performances over principal component model but shows slight edge over RW model especially for long run forecasting period. Considering that it is difficult for any model to show better forecasting ability over the RW model in out-of-sample period, results suggest that our model is useful for practitioners to forecast yields curve dynamics.

Estimation of Peru’s sovereign yield curve: the role of macroeconomic and latent factors

2019 ◽  
Vol 46 (3) ◽  
pp. 533-563
Author(s):  
Alejandra Olivares Rios ◽  
Gabriel Rodríguez ◽  
Miguel Ataurima Arellano
Keyword(s):  
Term Structure ◽  
Risk Premium ◽  
Yield Curve ◽  
International Markets ◽  
Bond Yields ◽  
Content Type ◽  
Vector Autoregressive ◽  
Term Structure Model ◽  
No Arbitrage ◽  
Unobservable Factors

PurposeFollowing Ang and Piazzesi’s (2003) study, the authors use an affine term structure model to study the relevance of macroeconomic (domestic and foreign) factors for Peru’s sovereign yield curve in the period from November 2005 to December 2015. The paper aims to discuss this issue.Design/methodology/approachRisk premia are modeled as time-varying and depend on both observable and unobservable factors; and the authors estimate a vector autoregressive model considering no-arbitrage assumptions.FindingsThe authors find evidence that macro factors help to improve the fit of the model and explain a substantial amount of variation in bond yields. However, their influence is very sensitive to the specification model. Variance decompositions show that macro factors explain a significant share of the movements at the short and middle segments of the yield curve (up to 50 percent), while unobservable factors are the main drivers for most of the movements at the long end of the yield curve (up to 80 percent). Furthermore, the authors find that international markets are relevant for the determination of the risk premium in the short term. Higher uncertainty in international markets increases bond yields, although this effect vanishes quickly. Finally, the authors find that no-arbitrage restrictions with the incorporation of macro factors improve forecasts.Originality/valueTo the authors’ knowledge this is the first application of this type of models using data from an emerging country such as Peru.

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