Hybridization Model For Capturing Long Memory And Volatility Of Brent Crude Oil Price Data
The Brent crude oil price indices are typically nonlinear, nonstationary, and non-normal behavior with a long memory and high heteroscedasticity; hence, capturing the controlling properties of their changes is difficult. Subsequently, these phenomena weaken the validity and the accuracy of the re...
Saved in:
主要作者: | Al-Gounmeein, Remal Shaher Hussien |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2022
|
主题: | |
在线阅读: | http://eprints.usm.my/59225/1/REMAL%20SHAHER%20HUSSIEN%20AL-GOUNMEEIN%20-%20TESIS%20cut.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Long memory estimation of stochastic volatility for index prices
由: Kho, Chia Chen
出版: (2017) -
The organic geochemistry of the Middle Jurassic Brent Formation /
由: Hasiah Abdullah
出版: (1985) -
Modeling financial environments using geometric fractional Brownian motion model with long memory stochastic volatility
由: Al Haqyan, Mohammed Kamel Mohammed
出版: (2018) -
Modelling of crude oil prices using hybrid arima-garch model
由: Hashim, Napishah
出版: (2015) -
Interminable Long Memory Model And Its Hybrid For Time Series Modeling
由: Alhaji, Jibrin Sanusi
出版: (2019)