[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/ris/sphedp/2009_016.html
   My bibliography  Save this paper

The role of the portfolio measurement in actual economic crisis

Author

Listed:
  • Covaci, Brindusa

    (Universitatea Spiru Haret, Facultatea de Finante si Banci)

  • Oprea, Cristian Constantin

    (Universitatea Spiru Haret, Facultatea de Finante si Banci)

  • Picu, Alina

    (Universitatea Spiru Haret, Facultatea de Finante si Banci)

  • Rotaru, Alina

    (Universitatea Spiru Haret, Facultatea de Finante si Banci)

Abstract
The main banking operation is lending. Indeed, between banks investments at the first place are credits. For good credits bank have to be visible, especially at stock exchange. In the study of capital markets, the temptation of yield is a forecast great. Many studies and models have tried to discover which is the future trend of banking activity on stock exchange and the interest rates, starting from a set of information from the past that many behavior often includes prices, the PER, capitalization, etc. An interesting theory in this field theory is walking randomly (the random walk hypothesis). The most dificile to manage is the portofolio in crisis conditions. In this sense we propose ARCH models to manage the portofolio quality in crisis conditions for some banks at BSE (Bucharest Stock Exchange).

Suggested Citation

  • Covaci, Brindusa & Oprea, Cristian Constantin & Picu, Alina & Rotaru, Alina, 2009. "The role of the portfolio measurement in actual economic crisis," Papers 2009/16, Osterreichish-Rumanischer Akademischer Verein.
  • Handle: RePEc:ris:sphedp:2009_016
    as

    Download full text from publisher

    File URL: http://mihaicovaci.intercer.org/site/37/ads/015.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    portofolio quality; economic crisis; ARCH model;
    All these keywords.

    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C59 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Other

    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:ris:sphedp:2009_016. 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: Brindusa Covaci (email available below). General contact details of provider: https://edirc.repec.org/data/ffuspro.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.