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Forecasting interest rate swap spreads using domestic and international risk factors: Evidence from linear and non-linear models Author info | Abstract | Publisher info | Download info | Related research | Statistics Ilias Lekkos () (EFG Eurobank)
Costas Milas () (Keele University )
Theodore Panagiotidis () (Loughborough University )
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This paper explores the ability of factor models to predict the dynamics of US and UK interest rate swap spreads within a linear and a non-linear framework. We reject linearity for the US and UK swap spreads in favour of a regime-switching smooth transition vector autoregressive (STVAR) model, where the switching between regimes is controlled by the slope of the US term structure of interest rates. We compare the ability of the STVAR model to predict swap spreads with that of a non-linear nearest-neighbours model as well as that of linear AR and VAR models. We find some evidence that the non-linear models predict better than the linear ones. At short horizons, the nearest-neighbours (NN) model predicts better than the STVAR model US swap spreads in periods of increasing risk conditions and UK swap spreads in periods of decreasing risk conditions. At long horizons, the STVAR model increases its forecasting ability over the linear models, whereas the NN model does not outperform the rest of the models.
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Paper provided by Department of Economics, Loughborough University in its series Discussion Paper Series with number
2006_6.
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Date of creation: Mar 2006Date of revision:
Mar 2006Handle: RePEc:lbo:lbowps:2006_6Contact details of provider: Postal: Loughborough, Leicestershire, LE11 3TU Phone: +44 (0) 1509 222701 Fax: +44 (0) 1509 223910 Web page: http://www.lboro.ac.uk/departments/ec/Research.htm More information through EDIRC
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Keywords: Interest rate swap spreads ; term structure of interest rates ; factor models ; regime switching ; smooth transition models ; nearest-neighbours ; forecasting. ; Other versions of this item:
Find related papers by JEL classification: C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Determination of Interest Rates; Term Structure of Interest Rates
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Duffie, Darrell & Singleton, Kenneth J, 1997.
" An Econometric Model of the Term Structure of Interest-Rate Swap Yields ,"
Journal of Finance ,
American Finance Association, vol. 52(4), pages 1287-1321, September.
[Downloadable!] (restricted)
Hamilton, James D., 1988.
"Rational-expectations econometric analysis of changes in regime : An investigation of the term structure of interest rates ,"
Journal of Economic Dynamics and Control ,
Elsevier, vol. 12(2-3), pages 385-423.
[Downloadable!] (restricted)
Timo Teräsvirta & Dick van Dijk & Marcelo Cunha Medeiros, 2004.
"Linear models, smooth transition autoregressions and neural networks for forecasting macroeconomic time series: A reexamination ,"
Textos para discussão
485, Department of Economics PUC-Rio (Brazil).
[Downloadable!]
Other versions:
Teräsvirta, Timo & van Dijk, Dick & Medeiros, Marcelo, 2004.
"Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination ,"
Working Paper Series in Economics and Finance
561, Stockholm School of Economics, revised 04 Nov 2004.
Terasvirta, Timo & van Dijk, Dick & Medeiros, Marcelo C., 2005.
"Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination ,"
International Journal of Forecasting ,
Elsevier, vol. 21(4), pages 755-774.
[Downloadable!] (restricted) Arturo Estrella & Anthony P. Rodrigues & Sebastian Schich, 2000.
"How stable is the predictive power of the yield curve? evidence from Germany and the United States ,"
Staff Reports
113, Federal Reserve Bank of New York.
[Downloadable!]
Other versions: Ang, Andrew & Bekaert, Geert, 2002.
"Regime Switches in Interest Rates ,"
Journal of Business & Economic Statistics ,
American Statistical Association, vol. 20(2), pages 163-82, April.
Other versions: Bekaert, Geert & Hodrick, Robert J. & Marshall, David A., 2001.
"Peso problem explanations for term structure anomalies ,"
Journal of Monetary Economics ,
Elsevier, vol. 48(2), pages 241-270, October.
[Downloadable!] (restricted)
Other versions: Jaditz, Ted & Sayers, Chera L, 1998.
"Out-of-Sample Forecast Performance as a Test for Nonlinearity in Time Series ,"
Journal of Business & Economic Statistics ,
American Statistical Association, vol. 16(1), pages 110-17, January.
Hamilton, James D, 1989.
"A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle ,"
Econometrica ,
Econometric Society, vol. 57(2), pages 357-84, March.
[Downloadable!] (restricted)
Óscar Bajo Rubio & Simón Sosvilla Rivero & Fernando Fernández Rodríguez, 2000.
"Asymmetry In The Ems: New Evidence Based On Non-Linear Forecasts ,"
Documentos de Trabajo - Lan Gaiak Departamento de EconomÃa - Universidad Pública de Navarra
0001, Departamento de Economía - Universidad Pública de Navarra.
[Downloadable!]
Other versions:
Oscar Bajo-Rubio & Simón Sosvilla-Rivero & Fernado Fernández-Rodríguez, .
"Asymmetry in the EMS: New evidence based on non-linear forecasts ,"
Working Papers
97-24, FEDEA.
[Downloadable!] Bajo-Rubio, Oscar & Sosvilla-Rivero, Simon & Fernandez-Rodriguez, Fernando, 2001.
"Asymmetry in the EMS: New evidence based on non-linear forecasts ,"
European Economic Review ,
Elsevier, vol. 45(3), pages 451-473, March.
[Downloadable!] (restricted) Gray, Stephen F., 1996.
"Modeling the conditional distribution of interest rates as a regime-switching process ,"
Journal of Financial Economics ,
Elsevier, vol. 42(1), pages 27-62, September.
[Downloadable!] (restricted)
Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997.
"Testing the equality of prediction mean squared errors ,"
International Journal of Forecasting ,
Elsevier, vol. 13(2), pages 281-291, June.
[Downloadable!] (restricted)
Diebold, Francis X. & Nason, James A., 1990.
"Nonparametric exchange rate prediction? ,"
Journal of International Economics ,
Elsevier, vol. 28(3-4), pages 315-332, May.
[Downloadable!] (restricted)
Other versions: James H. Stock & Mark W. Watson, 2003.
"Forecasting Output and Inflation: The Role of Asset Prices ,"
Journal of Economic Literature ,
American Economic Association, vol. 41(3), pages 788-829, September.
Other versions: Meese, Richard A & Rose, Andrew K, 1990.
"Nonlinear, Nonparametric, Nonessential Exchange Rate Estimation ,"
American Economic Review ,
American Economic Association, vol. 80(2), pages 192-96, May.
[Downloadable!] (restricted)
Wooldridge, Jeffrey M., 1991.
"On the application of robust, regression- based diagnostics to models of conditional means and conditional variances ,"
Journal of Econometrics ,
Elsevier, vol. 47(1), pages 5-46, January.
[Downloadable!] (restricted)
Robin L. Lumsdaine & Eswar S. Prasad, 1997.
"Identifying the Common Component in International Economic Fluctuations ,"
NBER Working Papers
5984, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
Diebold, Francis X & Mariano, Roberto S, 1995.
"Comparing Predictive Accuracy ,"
Journal of Business & Economic Statistics ,
American Statistical Association, vol. 13(3), pages 253-63, July.
Other versions:
Francis X. Diebold & Robert S. Mariano, 1994.
"Comparing Predictive Accuracy ,"
NBER Technical Working Papers
0169, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted) Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy ,"
Journal of Business & Economic Statistics ,
American Statistical Association, vol. 20(1), pages 134-44, January.
Ilias Lekkos & Costas Milas, 2002.
"Common risk factors in the US and UK interest rate swap markets:Evidence from a non-linear vector autoregression approach ,"
Public Policy Discussion Papers
02-05, Economics and Finance Section, School of Social Sciences, Brunel University.
[Downloadable!]
Other versions: Sun, Tong-sheng & Sundaresan, Suresh & Wang, Ching, 1993.
"Interest rate swaps: An empirical investigation ,"
Journal of Financial Economics ,
Elsevier, vol. 34(1), pages 77-99, August.
[Downloadable!] (restricted)
Weise, Charles L, 1999.
"The Asymmetric Effects of Monetary Policy: A Nonlinear Vector Autoregression Approach ,"
Journal of Money, Credit and Banking ,
Blackwell Publishing, vol. 31(1), pages 85-108, February.
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