Maximum Overlapping Discrete Wavelet Methods For Modelling The Saudi Stock Exchange
This study forecasts the stock volatility based on wavelet-based generalized autoregressive conditional heteroscedasticity (GARCH) methods. It builds a forecast model based on GARCH methods, autoregressive integrated moving average (ARIMA) method, and maximum overlap discrete wavelet transform (MODW...
| المؤلف الرئيسي: | T, Alshammari Tariq Saleh |
|---|---|
| التنسيق: | أطروحة |
| اللغة: | الإنجليزية |
| منشور في: |
2023
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://eprints.usm.my/60278/ |
| Abstract | Abstract here |
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مواد مشابهة
-
Modeling And Detecting Of Outlier Values In The Saudi Stock Exchange
حسب: Abdullah M, Rashedi Khudhayr
منشور في: (2023) -
Forecasting Stock Market Volatility Using Wavelet Transformation Algorithm Of Garch Model
حسب: Audu, Buba
منشور في: (2017) -
A Wavelet Approach For Analysing The Relationship Between Exchange Rate And Interest Rate Differential
حسب: DHAMOTHARAN, LALITHA
منشور في: (2017) -
Speech Compression Using Discrete Wavelet Transform
حسب: M.Ali Najih, Abdulmawla
منشور في: (2003) -
An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations
حسب: Tan, Lee Sen
منشور في: (2022)
