IDEAS home Printed from https://ideas.repec.org/a/rsr/supplm/v64y2016i7p87-93.html
   My bibliography  Save this article

Model regarding the dynamic management of shares portfolio

Author

Listed:
  • Constantin ANGHELACHE

    (Academia de Studii Economice, Universitatea “Artifex” Bucuresti)

  • Gabriela ANGHEL

    (Universitatea “Artifex” Bucuresti)

  • Marius POPOVICI

    (Academia de Studii Economice)

Abstract

The treatment of dynamic management of share portfolio is part of a theoretical approach and research that were started at the end of the 60s by Merton and Samuelson. They explored and defined the dynamic portfolio within a continuum economy with HARA utility functions. In 1968, Mossin demonstrated that HARA functions are the only one functions for which myopic approach is optimal when there are no serial correlations for the profits. In e 90s, Deaton and Carroll examined the effect of liquidities constraints on the optimal saving behaviour. Later, in 2000, Barberis estimated the significance of return predictability on the American exchange market. In 1999 and 2000, Campbell, Viciera and Barberis estimated this hedging demand numerically. The effect of profit predictability on the optimal structure of the initial portfolio became surprisingly important for an agent with risk aversion equal to 10 and a time strategy developed on ten- year time horizon. The optimal investment in shares represents 40% of the current wealth without predictability. This will climb up to 100% when mean-reversion is considered. But, still in 1986, Detemple already examined the asset demand problem under incomplete information and learning.

Suggested Citation

  • Constantin ANGHELACHE & Gabriela ANGHEL & Marius POPOVICI, 2016. "Model regarding the dynamic management of shares portfolio," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(7), pages 87-93, July.
  • Handle: RePEc:rsr:supplm:v:64:y:2016:i:7:p:87-93
    as

    Download full text from publisher

    File URL: http://www.revistadestatistica.ro/supliment/wp-content/uploads/2016/08/RRSS_08_2016_A7en.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Constantin ANGHELACHE & Marius POPOVICI, 2017. "Financial market analysis models," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(6), pages 174-183, June.

    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:rsr:supplm:v:64:y:2016:i:7:p:87-93. 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: Adrian Visoiu (email available below). General contact details of provider: https://edirc.repec.org/data/stagvro.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.