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...
Saved in:
主要作者: | T, Alshammari Tariq Saleh |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2023
|
主题: | |
在线阅读: | http://eprints.usm.my/60278/1/ALSHAMMARI%20TARIQ%20SALEH%20T%20-%20TESIS24.pdf http://eprints.usm.my/60278/ |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Hybrid of the Lee-Carter model with maximum overlap discrete wavelet transform filters in forecasting mortality rates
由: Yaacob, Nurul Aityqah, et al.
出版: (2021) -
Modeling And Detecting Of Outlier Values In The Saudi Stock Exchange
由: Abdullah M, Rashedi Khudhayr
出版: (2023) -
Maximal overlap discrete wavelet transform gaussian process regression for monthly crude oil price forecasting.
由: Hamid, Mohd. Helmie, et al.
出版: (2023) -
Applications of wavelet method in stock exchange problem
由: Samsul Ariffin Abdul Karim, et al.
出版: (2011) -
A recurrent neural network and a discrete wavelet transform to predict the Saudi stock price trends
由: Jarrah, M., et al.
出版: (2019)