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 :
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