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...
| मुख्य लेखक: | T, Alshammari Tariq Saleh |
|---|---|
| स्वरूप: | थीसिस |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
2023
|
| विषय: | |
| ऑनलाइन पहुंच: | http://eprints.usm.my/60278/ |
| Abstract | Abstract here |
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समान संसाधन
-
Modeling And Detecting Of Outlier Values In The Saudi Stock Exchange
द्वारा: Abdullah M, Rashedi Khudhayr
प्रकाशित: (2023) -
Forecasting Stock Market Volatility Using Wavelet Transformation Algorithm Of Garch Model
द्वारा: Audu, Buba
प्रकाशित: (2017) -
A Wavelet Approach For Analysing The Relationship Between Exchange Rate And Interest Rate Differential
द्वारा: DHAMOTHARAN, LALITHA
प्रकाशित: (2017) -
Speech Compression Using Discrete Wavelet Transform
द्वारा: M.Ali Najih, Abdulmawla
प्रकाशित: (2003) -
An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations
द्वारा: Tan, Lee Sen
प्रकाशित: (2022)
