IDEAS home Printed from https://ideas.repec.org/a/wun/journl/tjev04y2011i3(15)a02.html
   My bibliography  Save this article

A Cluster Analysis of OECD Pension Funds

Author

Listed:
  • Flavia BARNA

    (Faculty of Economics and Business Administration, West University of Timisoara, Romania)

  • Victoria SEULEAN

    (Faculty of Economics and Business Administration, West University of Timisoara, Romania)

  • Maria Luiza MOS

    (Faculty of Economics and Business Administration, West University of Timisoara, Romania)

Abstract

The investment policy of the voluntary pension funds is crucial in achieving a superior performance as their competitors. The investment duration, the target and the taxpayers’ typology have an impact on the structure of the selected portfolios and the levels of accepted risk. In this context, the international turmoil in the financial markets was an important determinant of the current investment policy of the voluntary pension funds. The purpose of this paper is to divide the pension funds that are active in the OECD countries by risk levels using cluster analysis. This type of analysis divides data into clusters that are meaningful, useful or both. There are numerous ways in which clusters can be formed, the essential criterion of all the procedures being the attempt to maximize the difference between clusters relative to the variation within the cluster. In order to achieve this goal, secondary date was use, provided by the Organisation for Economic Cooperation and Development and covering the 2001-2009 period. The data provide annually information regarding the investments of the pension funds, as a percentage of the GDP and also their structure. The analysis demonstrated that there are mainly two groups, based on the risk profile. Even though the composition of the groups changes along the years due to the changes in the investment strategies of the pension funds, the number of clusters remains the same. The results show that, when selecting and optimizing the financial portfolio, the voluntary pension funds take into account the taxpayers’ risk profile.

Suggested Citation

  • Flavia BARNA & Victoria SEULEAN & Maria Luiza MOS, 2011. "A Cluster Analysis of OECD Pension Funds," Timisoara Journal of Economics, West University of Timisoara, Romania, Faculty of Economics and Business Administration, vol. 4(3(15)), pages 143-148.
  • Handle: RePEc:wun:journl:tje:v04:y2011:i3(15):a02
    as

    Download full text from publisher

    File URL: https://tje.uvt.ro/index.php/tje/article/download/113/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jacob A. Bikker & Dirk W.G.A. Broeders & Dirk Jan de Dreu, 2010. "Stock Market Performance and Pension Fund Investment Policy: Rebalancing, Free Float, or Market Timing?," International Journal of Central Banking, International Journal of Central Banking, vol. 6(2), pages 53-79, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Vitalija Serapinaitė & Audrius Kabašinskas, 2021. "Clustering of Latvian Pension Funds Using Convolutional Neural Network Extracted Features," Mathematics, MDPI, vol. 9(17), pages 1-45, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fischer, Andreas M. & Greminger, Rafael P. & Grisse, Christian & Kaufmann, Sylvia, 2021. "Portfolio rebalancing in times of stress," Journal of International Money and Finance, Elsevier, vol. 113(C).
    2. J. de Dreu & J.A. Bikker, 2009. "Pension fund sophistication and investment policy," Working Papers 09-13, Utrecht School of Economics.
    3. J.A. Bikker & T. Knaap & W.E. Romp, 2011. "Real Pension Rights as a Control Mechanism for Pension Fund Solvency," Working Papers 11-15, Utrecht School of Economics.
    4. Dirk W.G.A. Broeders & Damiaan H.J. Chen & Peter A. Minderhoud & C.J. Willem Schudel, 2021. "Pension Funds' Herding," International Journal of Central Banking, International Journal of Central Banking, vol. 17(1), pages 285-330, March.
    5. Sergio, Bianchi & Alessandro, Trudda, 2008. "Global Asset Return in Pension Funds: a dynamical risk analysis," MPRA Paper 12011, University Library of Munich, Germany, revised 14 Jun 2008.
    6. de Haan, Leo & Kakes, Jan, 2011. "Momentum or contrarian investment strategies: Evidence from Dutch institutional investors," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2245-2251, September.
    7. Jacob A. Bikker & Dirk W. G. A. Broeders & David A. Hollanders & Eduard H. M. Ponds, 2012. "Pension Funds’ Asset Allocation and Participant Age: A Test of the Life-Cycle Model," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(3), pages 595-618, September.
    8. Cox, Samuel H. & Lin, Yijia & Shi, Tianxiang, 2018. "Pension risk management with funding and buyout options," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 183-200.
    9. Dirk Broeders & An Chen & Birgit Koos, 2014. "Utility-equivalence of pension security mechanisms," DNB Working Papers 414, Netherlands Central Bank, Research Department.
    10. Sophie Steins Bisschop & Martijn Boermans & Jon Frost, 2016. "A shock to the system? Market illiquidity and concentrated holdings in European bond markets," DNB Occasional Studies 1401, Netherlands Central Bank, Research Department.

    More about this item

    Keywords

    cluster analysis; investment policy; private pensions; risk;
    All these keywords.

    JEL classification:

    • J32 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Nonwage Labor Costs and Benefits; Retirement Plans; Private Pensions
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    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:wun:journl:tje:v04:y2011:i3(15):a02. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Romeo Margea (email available below). General contact details of provider: https://edirc.repec.org/data/feuvtro.html .

    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.