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...
保存先:
第一著者: | T, Alshammari Tariq Saleh |
---|---|
フォーマット: | 学位論文 |
言語: | English |
出版事項: |
2023
|
主題: | |
オンライン・アクセス: | http://eprints.usm.my/60278/1/ALSHAMMARI%20TARIQ%20SALEH%20T%20-%20TESIS24.pdf http://eprints.usm.my/60278/ |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Hybrid of the Lee-Carter model with maximum overlap discrete wavelet transform filters in forecasting mortality rates
著者:: Yaacob, Nurul Aityqah, 等
出版事項: (2021) -
Modeling And Detecting Of Outlier Values In The Saudi Stock Exchange
著者:: Abdullah M, Rashedi Khudhayr
出版事項: (2023) -
Maximal overlap discrete wavelet transform gaussian process regression for monthly crude oil price forecasting.
著者:: Hamid, Mohd. Helmie, 等
出版事項: (2023) -
Applications of wavelet method in stock exchange problem
著者:: Samsul Ariffin Abdul Karim, 等
出版事項: (2011) -
A recurrent neural network and a discrete wavelet transform to predict the Saudi stock price trends
著者:: Jarrah, M., 等
出版事項: (2019)