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Portfolio Considerations in the Valuation of Real Estate

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  • James R. Webb
  • Jack H. Rubens

Abstract

When a real asset rises in price faster than inflation (as real estate did in the late 1970s) and rises significantly in price over an extended period (as real estate has done for the last decade and one‐half), it concerns valuation and investment professionals who fear about it being over‐valued. One of the reasons for such price performance may be an increase in demand due to the portfolio characteristics of the asset during the period of time in question. For real estate this means the proportion included in optimal portfolios should be significant and increasing as individual tax rates increase in an environment of increasing average tax rates. This study uses six tax brackets (0%, 10%, 20%, 30%, 40%, 50%) and portfolios consisting of three traditional assets (NYSE common stocks, corporate bonds and small stocks) plus three types of real estate (residential, business and farmland) to demonstrate that this is what has transpired in the real estate markets. Optimal portfolio weights are derived for each asset for after‐tax portfolios. Real estate in general and residential real estate especially increased as a proportion of the optimal after‐tax portfolio as individual tax rates increased. Other studies are used to demonstrate an environment of increasing average tax rates.

Suggested Citation

  • James R. Webb & Jack H. Rubens, 1986. "Portfolio Considerations in the Valuation of Real Estate," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 14(3), pages 465-495, September.
    • Handle: RePEc:bla:reesec:v:14:y:1986:i:3:p:465-495
    DOI: 10.1111/1540-6229.00398
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    Cited by:

    1. Charles-Olivier Amédée-Manesme & Fabrice Barthélémy & Philippe Bertrand & Jean-Luc Prigent, 2019. "Mixed-asset portfolio allocation under mean-reverting asset returns," Annals of Operations Research, Springer, vol. 281(1), pages 65-98, October.
    2. Dodson, Carles, 1992. "Systematic Risk, Unanticipated Inflation, Excess Returns, and Texas Cropland Investments," WAEA/ WFEA Conference Archive (1929-1995) 321400, Western Agricultural Economics Association.
    3. Leon G. Shilton & John Teall, 1994. "Option-Based Prediction of Commercial Mortgage Defaults," Journal of Real Estate Research, American Real Estate Society, vol. 9(2), pages 219-236.
    4. Jack H. Rubens & David A. Louton & Elizabeth J. Yobaccio, 1998. "Measuring the Significance of Diversification Gains," Journal of Real Estate Research, American Real Estate Society, vol. 16(1), pages 73-86.
    5. Joseph Gyourko & Peter Linneman, 1990. "Analysing the Risk of Income-producing Real Estate," Urban Studies, Urban Studies Journal Limited, vol. 27(4), pages 497-508, August.
    6. Nguyen, Duc Khuong & Topaloglou, Nikolas & Walther, Thomas, 2020. "Asset Classes and Portfolio Diversification: Evidence from a Stochastic Spanning Approach," MPRA Paper 103870, University Library of Munich, Germany.

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