IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v51y2022i6p1745-1764.html
   My bibliography  Save this article

Optimal investment of DC pension plan with two VaR constraints

Author

Listed:
  • Shunqing Zhu
  • Yinghui Dong
  • Sang Wu

Abstract

In this paper, we investigate an optimal investment problem under two value-at-risk (VaR) constraints faced by a defined contribution (DC) pension fund manager. We apply a concavification technique and a Lagrange dual method to solve the problem and derive the closed-form representations of the optimal wealth and portfolio processes in terms of the state price density. Theoretical and numerical results show that the two VaR constraints can significantly impact the distribution of the optimal terminal wealth.

Suggested Citation

  • Shunqing Zhu & Yinghui Dong & Sang Wu, 2022. "Optimal investment of DC pension plan with two VaR constraints," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 51(6), pages 1745-1764, March.
  • Handle: RePEc:taf:lstaxx:v:51:y:2022:i:6:p:1745-1764
    DOI: 10.1080/03610926.2020.1767141
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2020.1767141
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03610926.2020.1767141?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stoyan Kirov & Milena Beneva, 2024. "Mean-Variance Environmental Investment Optimization of Bulgarian Private Pension Funds," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 88-112.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:lstaxx:v:51:y:2022:i:6:p:1745-1764. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/lsta .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.