English
全部
搜索
图片
视频
地图
资讯
Copilot
更多
购物
航班
旅游
笔记本
Top stories
冬季运动会
Sports
U.S.
Local
World
Science
Technology
Entertainment
Business
More
Politics
时间不限
过去 1 小时
过去 24 小时
过去 7 天
过去 30 天
最佳匹配
最新
腾讯网
1 年
金融波动率的多模型建模研究:GARCH族与HAR模型的Python实现与对比分析
金融资产波动率建模在现代金融工程中具有重要地位,其应用涵盖风险管理、衍生品定价和投资组合优化等核心领域。本文着重探讨三种主流波动率建模方法:广义自回归条件异方差模型(GARCH)、Glosten-Jagannathan-Runkle-GARCH模型(GJR-GARCH)以及异质自回归模型(HAR)。
当前正在显示可能无法访问的结果。
隐藏无法访问的结果
今日热点
Annual inflation cooled
Judge blocks Pentagon's plan
Judge declares mistrial
Closes US restaurants
US ends TPS for Yemenis
Japan seizes Chinese boat
Announces concert tour
Diggs pleads not guilty
Au pair sentenced to 10 yrs
Plane crashes near Steamboat
DOJ drops ICE assault case
US Navy ships collide
SF teachers end strike
Files $250,000 lawsuit
Announces NBA retirement
DP World replaces chairman
FBI releases new details
US curler makes historic debut
Ties gold medal record
Leak damages painting
Amazon drops Flock deal
Greek farmers protest
HHS officials to leave post
VA redistricting vote OK’d
Pardons 5 former NFL players
All-Star reliever dies at 97
Bans ICE from state property
Suspends Arizona gov. bid
Judge ends deportation case
Jazz fined $500K by NBA
Oldest with triple-double
US sends 2nd carrier to ME?
New Jersey man found guilty
Fresh crew takes off to ISS
Don Lemon pleads not guilty
US, Taiwan sign trade deal
To hold talks in Geneva
反馈