A Gaussian Approach for Continuous Time Models of Short Term Interest Rates

This 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...

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Main Authors: YU, Jun, Phillips, Peter C. B.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2002
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Online Access:https://ink.library.smu.edu.sg/soe_research/501
https://ink.library.smu.edu.sg/context/soe_research/article/1500/viewcontent/gaussian.pdf
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spelling sg-smu-ink.soe_research-15002018-07-13T05:38:21Z A Gaussian Approach for Continuous Time Models of Short Term Interest Rates YU, Jun Phillips, Peter C. B. This 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 empirical application to US and British interest rates is given. 2002-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/501 info:doi/10.1111/1368-423X.00063 https://ink.library.smu.edu.sg/context/soe_research/article/1500/viewcontent/gaussian.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Econometrics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Econometrics
spellingShingle Econometrics
YU, Jun
Phillips, Peter C. B.
A Gaussian Approach for Continuous Time Models of Short Term Interest Rates
description This 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 empirical application to US and British interest rates is given.
format text
author YU, Jun
Phillips, Peter C. B.
author_facet YU, Jun
Phillips, Peter C. B.
author_sort YU, Jun
title A Gaussian Approach for Continuous Time Models of Short Term Interest Rates
title_short A Gaussian Approach for Continuous Time Models of Short Term Interest Rates
title_full A Gaussian Approach for Continuous Time Models of Short Term Interest Rates
title_fullStr A Gaussian Approach for Continuous Time Models of Short Term Interest Rates
title_full_unstemmed A Gaussian Approach for Continuous Time Models of Short Term Interest Rates
title_sort gaussian approach for continuous time models of short term interest rates
publisher Institutional Knowledge at Singapore Management University
publishDate 2002
url https://ink.library.smu.edu.sg/soe_research/501
https://ink.library.smu.edu.sg/context/soe_research/article/1500/viewcontent/gaussian.pdf
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