IDEAS home Printed from https://ideas.repec.org/p/bgu/wpaper/1011.html
   My bibliography  Save this paper

Portfolio Risk Management Using The Lorenz Curve

Author

Listed:
  • Haim Shalit

    (Department of Economics, Ben-Gurion University of the Negev, Israel)

Abstract

This paper compiles the risk measures associated with the Lorenz curve. The Lorenz curve is the main tool in economics for measuring income distribution and inequality. For the past decades some of the Lorenz curve spin-offs have been used in risk analysis and finance. In particular, the Lorenz curve addresses the concepts of second degree stochastic dominance, Gini’s mean difference, Conditional Value-at-Risk, and the extended Gini in portfolio theory and in investment practice. Because the Lorenz curve can be estimated from asset returns, the risk measures are easy to implement and use.

Suggested Citation

  • Haim Shalit, 2010. "Portfolio Risk Management Using The Lorenz Curve," Working Papers 1011, Ben-Gurion University of the Negev, Department of Economics.
  • Handle: RePEc:bgu:wpaper:1011
    as

    Download full text from publisher

    File URL: http://in.bgu.ac.il/en/humsos/Econ/Workingpapers/1011.pdf
    File Function: First version, 2010
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Haim Shalit, 2014. "Measuring Risk In Israeli Mutual Funds: Conditional Value-At-Risk Vs. Aumann-Serrano Riskiness Index," Working Papers 1409, Ben-Gurion University of the Negev, Department of Economics.

    More about this item

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bgu:wpaper:1011. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Aamer Abu-Qarn (email available below). General contact details of provider: https://edirc.repec.org/data/edbguil.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.