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Paul Soderlind, P. Söderlind, Lars Svensson (1996)
New Techniques to Extract Market Expectations from Financial InstrumentMonetary Economics
Lawrence Laboratory, Lindsay Schachinger (1994)
Summary of the
M. Johannes, Nicholas Polson (2003)
MCMC Methods for Continuous-Time Financial EconometricsDerivatives eJournal
René Garcia, Pierre Montréal
Série Scientifique Scientific Series an Analysis of the Real Interest Rate under Regime Shifts
Stephen Gray (1996)
Modeling the Conditional Distribution of Interest Rates as a Regime-Switching ProcessJournal of Financial Economics, 42
John Taylor (1993)
Discretion versus policy rules in practiceCarnegie-Rochester Conference Series on Public Policy, 39
Qiang Dai, K. Singleton, Wei Yang (2007)
Regime shifts in a dynamic term structure model of U.S. Treasury bond yieldsReview of Financial Studies, 20
Xiaoneng Zhu (2011)
A note on the predictability of excess bond returns and regime shiftsFinance Research Letters, 8
Haitao Li, Tao Li, Cindy Yu (2011)
No-Arbitrage Taylor Rules with Switching RegimesBanking & Financial Institutions eJournal
C. Nelson, A. Siegel (1987)
Parsimonious modeling of yield curvesThe Journal of Business, 60
Bin Yu, P. Mykland (1998)
Looking at Markov samplers through cusum path plots: a simple diagnostic ideaStatistics and Computing, 8
F. Diebold, Glenn Rudebusch, S. Aruoba (2004)
The Macroeconomy and the Yield Curve: A Dynamic Latent Factor ApproachEconometrics eJournal
Andrew Ang, G. Bekaert (1998)
Regime Switches in Interest RatesJournal of Business & Economic Statistics, 20
Andrew Ang, Jean Boivin, S. Dong, Rudy Loo-Kung (2009)
Monetary Policy Shifts and the Term StructureAFA 2009 San Francisco Meetings (Archive)
Carlos Bernadell, J. Coche, K. Nyholm (2005)
Yield Curve Prediction for the Strategic InvestorMonetary Economics
Wei-Choun Yu, Donald Salyards (2009)
Parsimonious modeling and forecasting of corporate yield curveJournal of Forecasting, 28
Qiang Dai, K. Singleton (1997)
Specification Analysis of Affine Term Structure ModelsCapital Markets: Asset Pricing & Valuation eJournal
S. Chib, E. Greenberg (1994)
Bayes inference in regression models with ARMA (p, q) errorsJournal of Econometrics, 64
Chang‐Jin Kim (1994)
Dynamic linear models with Markov-switchingJournal of Econometrics, 60
Hao Zhou, Ravi Bansal (2001)
Term Structure of Interest Rates with Regime ShiftsJournal of Financial Abstracts eJournal
S. Koopman, Max Mallee, Michel Wel (2010)
Analyzing the Term Structure of Interest Rates Using the Dynamic Nelson–Siegel Model With Time-Varying ParametersJournal of Business & Economic Statistics, 28
Richard Clarida, Lucio Sarno, Mark Taylor, Giorgio Valente (2005)
The Role of Asymmetries and Regime Shifts in the Term Structure of Interest RatesCapital Markets: Asset Pricing & Valuation
John Geweke (1991)
Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments, 4
Chris Carter, R. Kohn (1994)
On Gibbs sampling for state space modelsBiometrika, 81
James Hamilton (1989)
A New Approach to the Economic Analysis of Nonstationary Time Series and the Business CycleEconometrica, 57
Constantino Hevia, Martín González-Rozada, M. Solá, M. Solá, Fabio Spagnolo (2015)
Estimating and Forecasting the Yield Curve Using A Markov Switching Dynamic Nelson and Siegel ModelJournal of Applied Econometrics, 30
K. West, Hali Edison, Dongchul Cho (1992)
A Utility Based Comparison of Some Models of Exchange Rate Volatility
Laura Coroneo, K. Nyholm, Rositsa Vidova-Koleva (2008)
How Arbitrage-Free is the Nelson-Siegel Model?European Economics: Macroeconomics & Monetary Economics eJournal
C. Robert, T. Rydén, D. Titterington (2000)
Bayesian inference in hidden Markov models through the reversible jump Markov chain Monte Carlo methodJournal of the Royal Statistical Society: Series B (Statistical Methodology), 62
Jens Christensen, F. Diebold, Glenn Rudebusch (2007)
The Affine Arbitrage-Free Class of Nelson-Siegel Term Structure ModelsCapital Markets: Asset Pricing & Valuation
Zhihua Zhang, K. Chan, Yiming Wu, Chibiao Chen (2004)
Learning a multivariate Gaussian mixture model with the reversible jump MCMC algorithmStatistics and Computing, 14
A. Raftery, S. Lewis (1991)
How Many Iterations in the Gibbs Sampler
Andrew Ang, Andrew Ang, Monika Piazzesi, Monika Piazzesi (2003)
A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variablesJournal of Monetary Economics, 50
P. Green (1995)
Reversible jump Markov chain Monte Carlo computation and Bayesian model determinationBiometrika, 82
F. Diebold, Canlin Li, F. Diebold, Todd Clark, Qiang Dai, Ron Gallant, Mike Gibbons, David Marshall, Monika Piazzesi, Martin (2003)
The Rodney L . White Center for Financial Research Forecasting the Term Structure of Government Bond Yields
Andrew Ang, G. Bekaert (2004)
The Term Structure of Real Rates and Expected InflationCapital Markets: Asset Pricing & Valuation eJournal
N. Hautsch, Fuyu Yang (2010)
Bayesian Inference in a Stochastic Volatility Nelson–Siegel ModelERN: Bayesian Analysis (Topic)
A. Estrella, G. Hardouvelis (1991)
The term structure as a predictor of real economic activity
Daniel Smith (2002)
Markov-Switching and Stochastic Volatility Diffusion Models of Short-Term Interest RatesJournal of Business & Economic Statistics, 20
James Hamilton (1988)
Rational-expectations econometric analysis of changes in regime: An investigation of the term structure of interest ratesJournal of Economic Dynamics and Control, 12
Whitney Newey, K. West (1986)
A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelationconsistent Covariance MatrixEconometrics eJournal
Pasquale Corte, Lucio Sarno, D. Thornton (2007)
The Expectation Hypothesis of the Term Structure of Very Short-Term Rates: Statistical Tests and Economic ValueCapital Markets: Asset Pricing & Valuation
This article presents a dynamic NelsonSiegel term structure model subject to regime shifts. To estimate the model, we introduce the reversible jump Markov chain Monte Carlo method, which allows jumps between the one-, two-, and three-regime models. The empirical results support the two-regime NelsonSiegel term structure model. The empirical results also suggest that the regime-switching NelsonSiegel term structure model forecasts better out-of-sample than the single-regime NelsonSiegel model and other competing models. In addition, our economic analysis is favorable to the better forecasting performance of the regime-switching NelsonSiegel model. Using the Diebold-Li bond yields, we find that the better forecasting performance is robust. Finally, two regimes are found to be related to business cycle conditions and monetary policy.
Journal of Financial Econometrics – Oxford University Press
Published: Jun 21, 2013
Keywords: JEL C5 E47 G12
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