Skip to main navigation
Skip to search
Skip to main content
Northwestern Scholars Home
Help & FAQ
Home
Experts
Organizations
Research Output
Grants
Core Facilities
Research Data
Search by expertise, name or affiliation
Some properties of portfolios constructed from principal components of asset returns
Thomas A. Severini
*
*
Corresponding author for this work
Statistics and Data Science
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Some properties of portfolios constructed from principal components of asset returns'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Asset Returns
100%
Principal Coordinate Analysis (PCoA)
66%
Random Vector
66%
Statistical Methods
33%
Dimensionality Reduction
33%
Statistical Properties
33%
N-dimensional
33%
Linear Function
33%
Factor Model
33%
Covariance Structure
33%
Mathematics
Principal Components
100%
Principal Component Analysis
66%
Covariance Structure
33%
Linear Function
33%
Random Vector
33%
N-Dimensional Random Vector
33%
Variance
33%
Statistical Method
33%
Statistical Property
33%
Economics, Econometrics and Finance
Capital Market Returns
100%
Principal Components
100%
Statistical Method
20%
Factor Model
20%