Mean-Variance Portfolio Selection for Defined-Contribution Pension Funds with Stochastic Salary

Author

Zhang, Chubing

Source

The Scientific World Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-03-20

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

This paper focuses on a continuous-time dynamic mean-variance portfolio selection problem of defined-contribution pension funds with stochastic salary, whose risk comes from both financial market and nonfinancial market.

By constructing a special Riccati equation as a continuous (actually a viscosity) solution to the HJB equation, we obtain an explicit closed form solution for the optimal investment portfolio as well as the efficient frontier.

American Psychological Association (APA)

Zhang, Chubing. 2014. Mean-Variance Portfolio Selection for Defined-Contribution Pension Funds with Stochastic Salary. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1051219

Modern Language Association (MLA)

Zhang, Chubing. Mean-Variance Portfolio Selection for Defined-Contribution Pension Funds with Stochastic Salary. The Scientific World Journal No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1051219

American Medical Association (AMA)

Zhang, Chubing. Mean-Variance Portfolio Selection for Defined-Contribution Pension Funds with Stochastic Salary. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1051219

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1051219