IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789812778451_0002.html
   My bibliography  Save this book chapter

The Mean-Variance Synthesis Of Corporate Balance Sheets

In: Quantitative Analysis In Financial Markets Collected Papers of the New York University Mathematical Finance Seminar(Volume III)

Author

Listed:
  • LES GULKO

    (287 Hamilton Ave, #3c Stamford, CT 06902, USA)

Abstract

This paper studies the corporate financial policy of minimizing the risk of a large loss. The implications of this policy are examined using a mean-variance risk model. The model creates mean-variance efficient balance sheets featuring the minimum equity risk for a target level of earnings. The model offers unambiguous decisions on the firm's capital structure, investing, financing, dividend policy, mergers and acquisitions. The implications of the model agree with empirical evidence. The paper suggests that capital structure and dividend decisions, that are irrelevant in a Modigliani–Miller market from the valuation viewpoint, are relevant for corporate risk management.

Suggested Citation

  • Les Gulko, 2002. "The Mean-Variance Synthesis Of Corporate Balance Sheets," World Scientific Book Chapters, in: Marco Avellaneda (ed.), Quantitative Analysis In Financial Markets Collected Papers of the New York University Mathematical Finance Seminar(Volume III), chapter 2, pages 37-65, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789812778451_0002
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789812778451_0002
    Download Restriction: Ebook Access is available upon purchase.

    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789812778451_0002
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Quantitative Analysis; Financial Markets;

    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:wsi:wschap:9789812778451_0002. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    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.