Applications of Wavelet Method in Stock Exchange Problem
Abstract-The development of wavelet theory in recent years has motivate the emerged of applications such as in signal processing, image and function representation, finance, economics, numerical method etc. One of wavelet advantages as compared to Fourier is, it has fast algorithm to evaluate th...
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my.utp.eprints.39322017-01-19T08:23:58Z Applications of Wavelet Method in Stock Exchange Problem ABDUL KARIM, SAMSUL ARIFFIN ABDUL KARIM, BAKRI ISMAIL, M TAHIR HASAN, M KHATIM SULAIMAN, JUMAT Q Science (General) QA75 Electronic computers. Computer science Abstract-The development of wavelet theory in recent years has motivate the emerged of applications such as in signal processing, image and function representation, finance, economics, numerical method etc. One of wavelet advantages as compared to Fourier is, it has fast algorithm to evaluate the series expansion. In this present article, we will discuss the applications of fast wavelet algorithm namely Discrete Wavelet Transform (DWT) in finance such as denoising the time series by using wavelet thresholding. We apply various thresholding approachs e.g., Heuristic SURE, SURE, Minimax and Fixed- Form method. Numerical result show that Minimax and fixed form method gives the better result. UTP 2010-06-15 Book PeerReviewed application/pdf http://eprints.utp.edu.my/3932/1/FAS_MS_09_KARIM.pdf ABDUL KARIM, SAMSUL ARIFFIN and ABDUL KARIM, BAKRI and ISMAIL, M TAHIR and HASAN, M KHATIM and SULAIMAN, JUMAT (2010) Applications of Wavelet Method in Stock Exchange Problem. UTP, International Conference on Fundamental and Applied Science. 15-17 June 2010. . ISBN 978-983-2271-19-2 http://eprints.utp.edu.my/3932/ |
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Q Science (General) QA75 Electronic computers. Computer science ABDUL KARIM, SAMSUL ARIFFIN ABDUL KARIM, BAKRI ISMAIL, M TAHIR HASAN, M KHATIM SULAIMAN, JUMAT Applications of Wavelet Method in Stock Exchange Problem |
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Abstract-The development of wavelet theory in recent years
has motivate the emerged of applications such as in signal
processing, image and function representation, finance,
economics, numerical method etc. One of wavelet advantages
as compared to Fourier is, it has fast algorithm to evaluate the
series expansion. In this present article, we will discuss the
applications of fast wavelet algorithm namely Discrete Wavelet
Transform (DWT) in finance such as denoising the time series
by using wavelet thresholding. We apply various thresholding
approachs e.g., Heuristic SURE, SURE, Minimax and Fixed-
Form method. Numerical result show that Minimax and fixed
form method gives the better result. |
format |
Book |
author |
ABDUL KARIM, SAMSUL ARIFFIN ABDUL KARIM, BAKRI ISMAIL, M TAHIR HASAN, M KHATIM SULAIMAN, JUMAT |
author_facet |
ABDUL KARIM, SAMSUL ARIFFIN ABDUL KARIM, BAKRI ISMAIL, M TAHIR HASAN, M KHATIM SULAIMAN, JUMAT |
author_sort |
ABDUL KARIM, SAMSUL ARIFFIN |
title |
Applications of Wavelet Method in
Stock Exchange Problem |
title_short |
Applications of Wavelet Method in
Stock Exchange Problem |
title_full |
Applications of Wavelet Method in
Stock Exchange Problem |
title_fullStr |
Applications of Wavelet Method in
Stock Exchange Problem |
title_full_unstemmed |
Applications of Wavelet Method in
Stock Exchange Problem |
title_sort |
applications of wavelet method in
stock exchange problem |
publisher |
UTP |
publishDate |
2010 |
url |
http://eprints.utp.edu.my/3932/1/FAS_MS_09_KARIM.pdf http://eprints.utp.edu.my/3932/ |
_version_ |
1738655307121295360 |
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13.160551 |