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
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)。
一些您可能无法访问的结果已被隐去。
显示无法访问的结果
今日热点
Judge blocks Pentagon's plan
Trump revokes climate basis
Announces concert tour
US Navy ships collide
Files $250,000 lawsuit
Pardons 5 former NFL players
FTC warns over news feed
Judge orders Wexner to testify
FBI releases new details
Bans ICE from state property
Mexican ships arrive in Cuba
Judge ends deportation case
All-Star reliever dies at 97
Rejects DHS funding bill
SC State University shooting
Suspends Arizona gov. bid
US home sales drop
DOJ antitrust chief quits
Bangladesh: BNP wins election
BYU football star arrested
Suspect extradited to NY
New Yorkers return Pride flag
'Harold and Maude' star dies
US curler makes historic debut
4 states sue Trump admin
Former Norway leader charged
To undergo knee surgery
AI safety researcher quits
Trial date scheduled
Goldman Sachs lawyer resigns
Gets engaged at Olympics
NBA suspends Brooks
To remain LA28 chairman
Trump on Netanyahu's pardon
Judge bars inmate transfer
反馈