DocumentCode
1306842
Title
A Subspace Approach to Portfolio Analysis
Author
Ganesan, Girish
Author_Institution
Since 2002, he has been working in the field of quantitative finance.
Volume
28
Issue
5
fYear
2011
Firstpage
49
Lastpage
60
Abstract
In this article, we highlight the subspace approach to portfolio analysis. We focus on equities and show that the subspace approach leads to the decomposition of a portfolio in terms of the range space and the orthogonal subspace of systematic risk factors. The subspace decomposi tion helps us to decompose the performance of a portfolio in terms of a modified information coefficient, the portfolio risk, and market volatilities (one temporal and one cross-sectional). The subspace approach gives a road map on how to model returns and risk. Some applications of the subspace approach are also presented.
Keywords
investment; risk analysis; equity investments; market volatilities; modified information coefficient; portfolio analysis; portfolio decomposition; portfolio risk; subspace decomposition; systematic risk factors; Analytical models; Covariance matrix; Financial management; Investments; Numerical models; Portfolios;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2011.941551
Filename
5999570
Link To Document