IDEAS home Printed from https://ideas.repec.org/a/taf/uaajxx/v8y2004i1p21-36.html
   My bibliography  Save this article

Efficient Gain and Loss Amortization and Optimal Funding in Pension Plans

Author

Listed:
  • M. Iqbal Owadally
  • Haberman Steven

Abstract

The authors consider efficient methods of amortizing actuarial gains and losses in defined-benefit pension plans. In the context of a simple model where asset gains and losses emerge as a consequence of random (independent and identically distributed) rates of investment return, it has been shown that direct amortization of such gains and losses leads to more variable funding levels and contribution rates, compared with an indirect and proportional form of amortization that “spreads” the gains and losses. Stochastic simulations are performed and they indicate that spreading remains more efficient than amortization with simple AR(1) and MA(1) rates of return. Similar results are obtained when a more comprehensive actuarial stochastic investment model (which includes economic wage inflation) is simulated. Proportional spreading is rationalized as the contribution control that optimizes mean square deviations in the contributions and fund levels when the funding process is Markovian and the fund is invested in two assets (a random risky and a risk-free asset). Efficient spreading and amortization periods are suggested for the United States, the United Kingdom, and Canada.

Suggested Citation

  • M. Iqbal Owadally & Haberman Steven, 2004. "Efficient Gain and Loss Amortization and Optimal Funding in Pension Plans," North American Actuarial Journal, Taylor & Francis Journals, vol. 8(1), pages 21-36.
  • Handle: RePEc:taf:uaajxx:v:8:y:2004:i:1:p:21-36
    DOI: 10.1080/10920277.2004.10596126
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10920277.2004.10596126
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10920277.2004.10596126?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. Peter Vlaar, 2005. "Defined Benefit Pension Plans and Regulation," DNB Working Papers 063, Netherlands Central Bank, Research Department.
    2. Maurer, Raimond & Mitchell, Olivia S. & Rogalla, Ralph, 2009. "Managing contribution and capital market risk in a funded public defined benefit plan: Impact of CVaR cost constraints," Insurance: Mathematics and Economics, Elsevier, vol. 45(1), pages 25-34, August.
    3. Colombo, Luigi & Haberman, Steven, 2005. "Optimal contributions in a defined benefit pension scheme with stochastic new entrants," Insurance: Mathematics and Economics, Elsevier, vol. 37(2), pages 335-354, October.
    4. Khorasanee, Zaki, 2005. "Benefit uncertainty and default risk in pension plans," Insurance: Mathematics and Economics, Elsevier, vol. 37(3), pages 469-493, December.
    5. Haberman, Steven & Sung, Joo-Ho, 2005. "Optimal pension funding dynamics over infinite control horizon when stochastic rates of return are stationary," Insurance: Mathematics and Economics, Elsevier, vol. 36(1), pages 103-116, February.
    6. Ngwira, Bernard & Gerrard, Russell, 2007. "Stochastic pension fund control in the presence of Poisson jumps," Insurance: Mathematics and Economics, Elsevier, vol. 40(2), pages 283-292, March.

    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:uaajxx:v:8:y:2004:i:1:p:21-36. 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/uaaj .

    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.