IDEAS home Printed from https://ideas.repec.org/p/chf/rpseri/rp2308.html
   My bibliography  Save this paper

The Role of Multi-Family Properties in Hedging Pension Liability Risk: Long-Run Evidence

Author

Listed:
  • Martin Hoesli

    (University of Geneva - Geneva School of Economics and Management (GSEM); Swiss Finance Institute; University of Aberdeen - Business School)

  • Louis Johner

    (University of Geneva - Geneva School of Economics and Management)

  • Jon Lekander

    (Aberdeen Property Investors Nordic Region)

Abstract

Pension funds aim to hold assets that match their future liabilities. For this purpose, there is a growing interest in multi-family properties as their returns should be positively related to wage growth and hence pension liabilities. Using data for Sweden over 145 years, we investigate the role that multi-family properties play in the context of a mixed-asset portfolio that aims to track wage growth. The benefits from holding multi-family properties are the greatest for low-risk allocation approaches. For more risky strategies, the role of real estate is also positive but more muted, and it varies greatly over time. Holding real estate was most beneficial during the first two decades of the 21st century. Multi-family properties are found to be the only asset class to be positively related to wage growth. We show that the net operating income acts as the transmission channel between wages and property returns.

Suggested Citation

  • Martin Hoesli & Louis Johner & Jon Lekander, 2023. "The Role of Multi-Family Properties in Hedging Pension Liability Risk: Long-Run Evidence," Swiss Finance Institute Research Paper Series 23-08, Swiss Finance Institute.
  • Handle: RePEc:chf:rpseri:rp2308
    as

    Download full text from publisher

    File URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4349987
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Multi-family properties; Mixed-asset portfolio; Pension fund; Wages; Long run; Sweden;
    All these keywords.

    JEL classification:

    • R33 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Nonagricultural and Nonresidential Real Estate Markets
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:chf:rpseri:rp2308. 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: Ridima Mittal (email available below). General contact details of provider: https://edirc.repec.org/data/fameech.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.