• DocumentCode
    2854991
  • Title

    Merge between preference theory and CAPM efficient frontier: Towards an optimum portfolio of upstream projects

  • Author

    Gharaibeh, Omar ; Gharaibeh, Natheer

  • Author_Institution
    Ajloun Coll., Manage. Sci. Dept., Albalqa Appl. Univ., Aqapa, Jordan
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    144
  • Lastpage
    146
  • Abstract
    The goal of this paper is to present the relationship between numerical optimaization tools applied to investments and preference theory, using utility risk - aversion functions in the determination of optimum portfolio for the upstream sector. The relationship between portfolio performance and the number of stocks held in the portfolio has long been of interest to many financial economists ever since Markowitz (1952) proposes his modern portfolio theory. Markowitz describes how portfolio risk can be effectively reduced by increasing the number of stocks held in the portfolio. In this paper, we took four projects in industry sector in the Economic Aqaba region in Jordan and tried to measure the relationship between portfolio performance and CAPM efficient frontier, the main feature of this paper is the integration between CAPM and Risk Analysis through the preference Theory.
  • Keywords
    investment; optimisation; risk analysis; stock markets; CAPM efficient frontier; financial economy; industry sector; investments; numerical optimization tools; optimum portfolio; portfolio theory; preference theory; risk analysis; upstream projects; utility risk-aversion functions; Conference management; Educational institutions; Engineering management; Financial management; Industrial economics; Investments; Portfolios; Project management; Risk analysis; Risk management; CAPM; Utility risk-aversion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Financial Theory and Engineering (ICFTE), 2010 International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-7757-9
  • Electronic_ISBN
    978-1-4244-7759-3
  • Type

    conf

  • DOI
    10.1109/ICFTE.2010.5499409
  • Filename
    5499409