On the Computation of the Efficient Frontier of the Portfolio Selection Problem

Joint Authors

Calvo, Clara
Ivorra, Carlos
Liern, Vicente

Source

Journal of Applied Mathematics

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-25, 25 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-10-04

Country of Publication

Egypt

No. of Pages

25

Main Subjects

Mathematics

Abstract EN

An easy-to-use procedure is presented for improving the ε-constraint method for computing the efficient frontier of the portfolio selection problem endowed with additional cardinality and semicontinuous variable constraints.

The proposed method provides not only a numerical plotting of the frontier but also an analytical description of it, including the explicit equations of the arcs of parabola it comprises and the change points between them.

This information is useful for performing a sensitivity analysis as well as for providing additional criteria to the investor in order to select an efficient portfolio.

Computational results are provided to test the efficiency of the algorithm and to illustrate its applications.

The procedure has been implemented in Mathematica.

American Psychological Association (APA)

Calvo, Clara& Ivorra, Carlos& Liern, Vicente. 2012. On the Computation of the Efficient Frontier of the Portfolio Selection Problem. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-25.
https://search.emarefa.net/detail/BIM-992952

Modern Language Association (MLA)

Calvo, Clara…[et al.]. On the Computation of the Efficient Frontier of the Portfolio Selection Problem. Journal of Applied Mathematics No. 2012 (2012), pp.1-25.
https://search.emarefa.net/detail/BIM-992952

American Medical Association (AMA)

Calvo, Clara& Ivorra, Carlos& Liern, Vicente. On the Computation of the Efficient Frontier of the Portfolio Selection Problem. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-25.
https://search.emarefa.net/detail/BIM-992952

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-992952