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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Format: | Thesis |
Language: | English |
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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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author | Cheah, Lee Hen |
author_facet | Cheah, Lee Hen |
author_sort | Cheah, Lee Hen |
collection | USM |
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. |
first_indexed | 2024-03-06T15:50:40Z |
format | Thesis |
id | usm.eprints-51543 |
institution | Universiti Sains Malaysia |
language | English |
last_indexed | 2024-03-06T15:50:40Z |
publishDate | 2006 |
record_format | dspace |
spelling | usm.eprints-515432022-02-16T03:28:36Z http://eprints.usm.my/51543/ Dynamics Between Malaysian Equity Market And Macroeconomic Variables: An Application Of Kalman Filter Model With Heteroskedastic Error 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 NonPeerReviewed application/pdf en 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 Cheah, Lee Hen (2006) Dynamics Between Malaysian Equity Market And Macroeconomic Variables: An Application Of Kalman Filter Model With Heteroskedastic Error. 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 Heteroskedastic Error |
title | 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_short | 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 |
topic | QA1 Mathematics (General) |
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 |
work_keys_str_mv | AT cheahleehen dynamicsbetweenmalaysianequitymarketandmacroeconomicvariablesanapplicationofkalmanfiltermodelwithheteroskedasticerror |