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INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS<br />

JUNE 2011<br />

VOL 3, NO 2<br />

when it has the highest return at a specific level of risk. Marquetz and Toubin were the first ones<br />

who in addition to return, insert risk as an important factor in investment. they also considered<br />

and student method of minimizing risk with regards to return on asset Iin the bigining, this model<br />

did not attract too much attracthion, but gradually, the financial accepted is seriously. Today<br />

after fifty years, so many model have been formed as remodeled based on that. At first this<br />

model attracts low attention but gradually the financial society accepts it severely and today<br />

many models are built or reconstructed based on it after fifty years.<br />

One of the major factors in Marquitz model is diversity of investment. In fact diversification is a<br />

fundamental issue in finance scope. Common logic always state that don’t put of all your eggs in<br />

one basket. Marquitz model explains the concept of diversification or non-diversification with<br />

the introduction of statistical concept of covariance or quantitative correlation. Substantially<br />

many modern discoveries in finance literature originated from the concept of objective diversity<br />

and offer new applications for this concept (Philip, 2007).<br />

Another important issue in Marquitz model is this risk. In this framework risk is defined as the<br />

probable deviation from the expected return. However, several studies have been performed that<br />

show return's standard deviation could not be considered as a precise criterion for risk, unless<br />

there exists a logical reason to accept that return distribution is a symmetrical distribution<br />

(Falker, 2005). Moreover, there are evidences which state that return distribution function is not<br />

symmetrical (Chen, 2008).<br />

Marquitz in his theory, has inserted assets return variance, return of each assets, the weight of<br />

them in the portfolio and relationship link between these assets as of mayger variable.<br />

Summarized and conceptual diagram of these variables is shown in the following table.<br />

W<br />

i<br />

= weight of each assets in the portfolio<br />

2<br />

δ<br />

i<br />

= variance of return of each assets in the portfolio<br />

E<br />

i<br />

= return of each assets in the portfolio<br />

i= 1, 2, 3,…, n<br />

COPY RIGHT © 2011 Institute of Interdisciplinary Business Research 327

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