Title of article :
A new methodology for deriving the efficient frontier of stocks portfolios: An advanced risk-return model
Author/Authors :
Mehrjoo، Sh نويسنده Department of Industrial Management, Islamic Azad University, Qazvin Branch, Qazvin, Iran Mehrjoo, Sh , Jasemi، M نويسنده Department of Industrial Engineering, K.N.Toosi University of Technology, Tehran, Iran Jasemi, M , Mahmoudi، A نويسنده Department of Industrial Engineering and Quality Assurance, Dehkhoda Sugarcane Agro Industry co, Ahvaz, Iran Mahmoudi, A
Issue Information :
دوفصلنامه با شماره پیاپی 0 سال 2014
Pages :
11
From page :
113
To page :
123
Abstract :
In this paper, after reviewing the concept of Efficient Frontier (EF), an important inadequacy of the Variance based models for deriving EFs and the high necessity for applying another risk measure is exemplified. To meet the challenge, the traditional risk measure of Variance is replaced with Lower Partial Moment (LPM) of the first order. Because of the particular shape of the new risk measure, one part of the paper is devoted to a methodology for deriving EF on the basis of the new model. Then the model superiority over the old one is shown and finally shape of the new EFs under different situations is investigated. At last, it is concluded that application of LPM of the first order in financial models in the phase of deriving EF is completely wise and justifiable.
Journal title :
Journal of Artificial Intelligence and Data Mining
Serial Year :
2014
Journal title :
Journal of Artificial Intelligence and Data Mining
Record number :
2002141
Link To Document :
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