A Gaussian approach for continuous time models of the short-term interest rate
AbstractThis paper proposes a Gaussian estimator for nonlinear continuous time models of the short-term interest rate. The approach is based on a stopping time argument that produces a normalizing transformation facilitating the use of a Gaussian likelihood. A Monte Carlo study shows that the finite-sample performance of the proposed procedure offers an improvement over the discrete approximation method proposed by Nowman (1997). An em-pirical application to US and British interest rates is given.
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Bibliographic InfoArticle provided by Royal Economic Society in its journal The Econometrics Journal.
Volume (Year): 4 (2001)
Issue (Month): 2 ()
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- Huang, J. & Kobayashi, M. & McAleer, M.J., 2011.
"Testing the Box-Cox Parameter for an Integrated Process,"
Econometric Institute Research Papers
EI 2010-77, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Jian Huang & Masahito Kobayashi & Michael McAleer, 2010. "Testing the Box-Cox Parameter for an Integrated Process," KIER Working Papers 750, Kyoto University, Institute of Economic Research.
- Jian Huang & Masahito Kobayashi & Michael McAleer, 2011. "Testing the Box-Cox Parameter for an Integrated Process," Documentos del Instituto Complutense de AnÃ¡lisis EconÃ³mico 2011-19, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales.
- Jian Huang & Masahito Kobayashi & Michael McAleer, 2010. "Testing the Box-Cox Parameter for an Integrated Process," Working Papers in Economics 10/77, University of Canterbury, Department of Economics and Finance.
- McCrorie, J. Roderick & Chambers, Marcus J., 2006.
"Granger causality and the sampling of economic processes,"
Journal of Econometrics,
Elsevier, vol. 132(2), pages 311-336, June.
- McCrorie, J.R. & Chambers, M.J., 2004. "Granger Causality and the Sampling of Economic Processes," Discussion Paper 2004-39, Tilburg University, Center for Economic Research.
- James E. Griffin & Mark F.J. Steel, 2002.
"Inference With Non-Gaussian Ornstein-Uhlenbeck Processes for Stochastic Volatility,"
0201002, EconWPA, revised 04 Apr 2003.
- Griffin, J.E. & Steel, M.F.J., 2006. "Inference with non-Gaussian Ornstein-Uhlenbeck processes for stochastic volatility," Journal of Econometrics, Elsevier, vol. 134(2), pages 605-644, October.
- Chang, Yoosoon, 2004.
"Taking a New Contour: A Novel Approach to Panel Unit Root Tests,"
2004-05, Rice University, Department of Economics.
- Chang, Yoosoon, 2012. "Taking a new contour: A novel approach to panel unit root tests," Journal of Econometrics, Elsevier, vol. 169(1), pages 15-28.
- Yoosoon Chang, 2004. "Taking a New Contour: A Novel Approach to Panel Unit Root Tests," Econometric Society 2004 Far Eastern Meetings 796, Econometric Society.
- Terence D.Agbeyegbe & Elena Goldman, 2005. "Estimation of threshold time series models using efficient jump MCMC," Hunter College Department of Economics Working Papers 406, Hunter College: Department of Economics, revised 2005.
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