Hobaykan A, Alenezy Abdullah (2025) Improving Forecasting Accuracy For Time Series Data Using Fuzzy Techniques And Wavelet Transform. PhD thesis, Universiti Sains Malaysia.
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Abstract
This study focuses on improving the accuracy of stock market forecasting for the Saudi Arabia stock exchange (Tadawul) by employing advanced modeling techniques and adaptive learning approaches. The study utilizes the maximum overlapping discrete wavelet transform (MODWT) in conjunction with various mathematical functions to analyze daily stock price indices data from October 2011 to December 2019.
| Item Type: | Thesis (PhD) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA1 Mathematics (General) |
| Divisions: | Pusat Pengajian Sains Matematik (School of Mathematical Sciences) > Thesis |
| Depositing User: | Mr Aizat Asmawi Abdul Rahim |
| Date Deposited: | 05 Mar 2026 07:00 |
| Last Modified: | 05 Mar 2026 07:00 |
| URI: | http://eprints.usm.my/id/eprint/63719 |
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