• 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