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