Dynamics Between Malaysian Equity Market And Macroeconomic Variables: An Application Of Kalman Filter Model With Heteroskedastic Error

Ever since the pioneering work of Kalman and Bucy (1960), Kalman filter model has become widely used in the space programme and control engineering. However,its applications in financial time series have been very few and far in between. Kalman filtering is a set of equations which allows an estimat...

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Main Author: Cheah, Lee Hen
Format: Thesis
Language:English
Published: 2006
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Online Access:http://eprints.usm.my/51543/1/Pages%20from%20Dynamics%20between%20Malaysian%20equity%20market%20and%20macroeconomic%20variables%20%20an%20application%20of%20Kalman%20filter%20model%20with%20heteroskeda%20%2800001671677%29-24.pdf
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spelling my-usm-ep.515432022-02-16T03:28:36Z Dynamics Between Malaysian Equity Market And Macroeconomic Variables: An Application Of Kalman Filter Model With Heteroskedastic Error 2006-12 Cheah, Lee Hen QA1 Mathematics (General) Ever since the pioneering work of Kalman and Bucy (1960), Kalman filter model has become widely used in the space programme and control engineering. However,its applications in financial time series have been very few and far in between. Kalman filtering is a set of equations which allows an estimator to be updated once a new observation becomes available. A model for the monthly Kuala Lumpur Composite Index from April 1986 to February 2005 is proposed and investigated. The model allows the mean reversion level of Kuala Lumpur Composite Index to be modeled stochastically. 2006-12 Thesis http://eprints.usm.my/51543/ http://eprints.usm.my/51543/1/Pages%20from%20Dynamics%20between%20Malaysian%20equity%20market%20and%20macroeconomic%20variables%20%20an%20application%20of%20Kalman%20filter%20model%20with%20heteroskeda%20%2800001671677%29-24.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Matematik
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic QA1 Mathematics (General)
spellingShingle QA1 Mathematics (General)
Cheah, Lee Hen
Dynamics Between Malaysian Equity Market And Macroeconomic Variables: An Application Of Kalman Filter Model With Heteroskedastic Error
description Ever since the pioneering work of Kalman and Bucy (1960), Kalman filter model has become widely used in the space programme and control engineering. However,its applications in financial time series have been very few and far in between. Kalman filtering is a set of equations which allows an estimator to be updated once a new observation becomes available. A model for the monthly Kuala Lumpur Composite Index from April 1986 to February 2005 is proposed and investigated. The model allows the mean reversion level of Kuala Lumpur Composite Index to be modeled stochastically.
format Thesis
qualification_level Master's degree
author Cheah, Lee Hen
author_facet Cheah, Lee Hen
author_sort Cheah, Lee Hen
title Dynamics Between Malaysian Equity Market And Macroeconomic Variables: An Application Of Kalman Filter Model With Heteroskedastic Error
title_short Dynamics Between Malaysian Equity Market And Macroeconomic Variables: An Application Of Kalman Filter Model With Heteroskedastic Error
title_full Dynamics Between Malaysian Equity Market And Macroeconomic Variables: An Application Of Kalman Filter Model With Heteroskedastic Error
title_fullStr Dynamics Between Malaysian Equity Market And Macroeconomic Variables: An Application Of Kalman Filter Model With Heteroskedastic Error
title_full_unstemmed Dynamics Between Malaysian Equity Market And Macroeconomic Variables: An Application Of Kalman Filter Model With Heteroskedastic Error
title_sort dynamics between malaysian equity market and macroeconomic variables: an application of kalman filter model with heteroskedastic error
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Sains Matematik
publishDate 2006
url http://eprints.usm.my/51543/1/Pages%20from%20Dynamics%20between%20Malaysian%20equity%20market%20and%20macroeconomic%20variables%20%20an%20application%20of%20Kalman%20filter%20model%20with%20heteroskeda%20%2800001671677%29-24.pdf
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