楼主: kedemingshi
508 0

[量化金融] 大协方差矩阵的经验性质 [推广有奖]

  • 0关注
  • 4粉丝

会员

学术权威

78%

还不是VIP/贵宾

-

威望
10
论坛币
15 个
通用积分
89.2735
学术水平
0 点
热心指数
8 点
信用等级
0 点
经验
24665 点
帖子
4127
精华
0
在线时间
0 小时
注册时间
2022-2-24
最后登录
2022-4-15

楼主
kedemingshi 在职认证  发表于 2022-3-5 14:32:00 来自手机 |AI写论文

+2 论坛币
k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群
赵安豆老师微信:zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

感谢您参与论坛问题回答

经管之家送您两个论坛币!

+2 论坛币
摘要翻译:
研究了三个数据集54、55和330的大经验协方差和相关矩阵的显着性质。协方差被定义为收益的简单交叉积,权重以对数缓慢衰减。协方差矩阵的主要一般性质如下。协方差谱是非常静态的,除了前三到十个特征值外,并迅速向零指数衰减。平均谱和谱密度没有显示出将“有意义的”特征值与“有噪声的”特征值分开的特殊特征。相关性的谱更静态,有三到五个特征值具有明显的动力学。前导子空间上秩k的平均投影显示,大多数动力学发生在特征向量中,包括谱的深处。总之,这意味着协方差减少到几个领先的本征模会错过大部分动力学,协方差估计器可以正确地评估挥发度和相关性。
---
英文标题:
《The empirical properties of large covariance matrices》
---
作者:
Gilles Zumbach
---
最新提交年份:
2009
---
分类信息:

一级分类:Quantitative Finance        数量金融学
二级分类:Statistical Finance        统计金融
分类描述:Statistical, econometric and econophysics analyses with applications to financial markets and economic data
统计、计量经济学和经济物理学分析及其在金融市场和经济数据中的应用
--
一级分类:Quantitative Finance        数量金融学
二级分类:Portfolio Management        项目组合管理
分类描述:Security selection and optimization, capital allocation, investment strategies and performance measurement
证券选择与优化、资本配置、投资策略与绩效评价
--
一级分类:Quantitative Finance        数量金融学
二级分类:Risk Management        风险管理
分类描述:Measurement and management of financial risks in trading, banking, insurance, corporate and other applications
衡量和管理贸易、银行、保险、企业和其他应用中的金融风险
--

---
英文摘要:
  The salient properties of large empirical covariance and correlation matrices are studied for three datasets of size 54, 55 and 330. The covariance is defined as a simple cross product of the returns, with weights that decay logarithmically slowly. The key general properties of the covariance matrices are the following. The spectrum of the covariance is very static, except for the top three to ten eigenvalues, and decay exponentially fast toward zero. The mean spectrum and spectral density show no particular feature that would separate "meaningful" from "noisy" eigenvalues. The spectrum of the correlation is more static, with three to five eigenvalues that have distinct dynamics. The mean projector of rank k on the leading subspace shows instead that most of the dynamics occur in the eigenvectors, including deep in the spectrum. Together, this implies that the reduction of the covariance to a few leading eigenmodes misses most of the dynamics, and that a covariance estimator correctly evaluates both volatilities and correlations.
---
PDF链接:
https://arxiv.org/pdf/0903.1525
二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

关键词:协方差矩阵 协方差 Quantitative Applications correlations 领先 covariance 显示 特征值 static

您需要登录后才可以回帖 登录 | 我要注册

本版微信群
jg-xs1
拉您进交流群
GMT+8, 2026-1-5 03:37