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

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 estima...

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Main Author: Cheah, Lee Hen
Format: Thesis
Language:English
Published: 2006
Subjects:
Online Access:http://eprints.usm.my/53192/
http://eprints.usm.my/53192/1/Pages%20from%2000001671677.pdf
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author Cheah, Lee Hen
author_facet Cheah, Lee Hen
author_sort Cheah, Lee Hen
building USM Institutional Repository
collection Online Access
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. Comparisons of results between the simpler Kalman filter AR(1) and the proposed models are made.
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institution Universiti Sains Malaysia
institution_category Local University
language English
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publishDate 2006
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spelling usm-531922022-06-30T06:54:05Z http://eprints.usm.my/53192/ Dynamics Between Malaysian Equity Market And Macroeconomic Variables : An Application Of Kalman Filter Model With Heteroskeda 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. Comparisons of results between the simpler Kalman filter AR(1) and the proposed models are made. 2006-12 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/53192/1/Pages%20from%2000001671677.pdf Cheah, Lee Hen (2006) Dynamics Between Malaysian Equity Market And Macroeconomic Variables : An Application Of Kalman Filter Model With Heteroskeda. Masters thesis, Universiti Sains Malaysia.
spellingShingle QA1 Mathematics (General)
Cheah, Lee Hen
Dynamics Between Malaysian Equity Market And Macroeconomic Variables : An Application Of Kalman Filter Model With Heteroskeda
title Dynamics Between Malaysian Equity Market And Macroeconomic Variables : An Application Of Kalman Filter Model With Heteroskeda
title_full Dynamics Between Malaysian Equity Market And Macroeconomic Variables : An Application Of Kalman Filter Model With Heteroskeda
title_fullStr Dynamics Between Malaysian Equity Market And Macroeconomic Variables : An Application Of Kalman Filter Model With Heteroskeda
title_full_unstemmed Dynamics Between Malaysian Equity Market And Macroeconomic Variables : An Application Of Kalman Filter Model With Heteroskeda
title_short Dynamics Between Malaysian Equity Market And Macroeconomic Variables : An Application Of Kalman Filter Model With Heteroskeda
title_sort dynamics between malaysian equity market and macroeconomic variables : an application of kalman filter model with heteroskeda
topic QA1 Mathematics (General)
url http://eprints.usm.my/53192/
http://eprints.usm.my/53192/1/Pages%20from%2000001671677.pdf