Publication: Improving Forecasting Accuracy For Time Series Data Using Fuzzy Techniques And Wavelet Transform
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Date
2025-07
Authors
Hobaykan A., Alenezy Abdullah
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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.
Description
Keywords
Wavelets (Mathematics) , Forecasting