Uncertain Portfolio Selection with Background Risk and Liquidity Constraint

Joint Authors

Bai, Manying
Zhai, Jia

Source

Mathematical Problems in Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-01-22

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Civil Engineering

Abstract EN

This paper discusses an uncertain portfolio selection problem with consideration of background risk and asset liquidity.

In addition, the transaction costs are also considered.

The security returns, background asset return, and asset liquidity are estimated by experienced experts instead of historical data.

Regarding them as uncertain variables, a mean-risk model with background risk, liquidity, and transaction costs is proposed for portfolio selection and the crisp forms of the model are provided when security returns obey different uncertainty distributions.

Moreover, for better understanding of the impact of background risk and liquidity on portfolio selection, some important theorems are proved.

Finally, numerical experiments are presented to illustrate the modeling idea.

American Psychological Association (APA)

Zhai, Jia& Bai, Manying. 2017. Uncertain Portfolio Selection with Background Risk and Liquidity Constraint. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1192260

Modern Language Association (MLA)

Zhai, Jia& Bai, Manying. Uncertain Portfolio Selection with Background Risk and Liquidity Constraint. Mathematical Problems in Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1192260

American Medical Association (AMA)

Zhai, Jia& Bai, Manying. Uncertain Portfolio Selection with Background Risk and Liquidity Constraint. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1192260

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1192260