版权说明 操作指南
首页 > 成果 > 详情

Modeling Long Memory and Regime Switching with an MRS-FIEGARCH Model: A Simulation Study

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Zhang, Caixia;Shi, Yanlin
通讯作者:
Shi, YL
作者机构:
[Zhang, Caixia] Hengyang Normal Univ, Coll Econ & Management, Hengyang 421008, Peoples R China.
[Shi, Yanlin; Shi, YL] Macquarie Univ, Dept Actuarial Studies & Business Analyt, Sydney, NSW 2109, Australia.
通讯机构:
[Shi, YL ] M
Macquarie Univ, Dept Actuarial Studies & Business Analyt, Sydney, NSW 2109, Australia.
语种:
英文
关键词:
long memory;regime switching;FIEGARCH;MRS-FIEGARCH
期刊:
Axioms
ISSN:
2075-1680
年:
2023
卷:
12
期:
5
页码:
446-
基金类别:
This research received no external funding.
机构署名:
本校为第一机构
院系归属:
经济与管理学院
摘要:
Recent research suggests that long memory can be caused by regime switching and is easily confused with it. However, if the causes of confusion were properly controlled, they could be distinguished. Motivated by this idea, our study aims to distinguish between the long memory and regime switching of financial volatility. We firstly modeled the long memory and regime switching of volatility using the Fractionally Integrated Exponential GARCH (FIEGARCH) and Markov Regime-Switching EGARCH (MRS-EGARCH) frameworks, respectively, and performed a simulation study on their finite-sample properties whe...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com