IDEAS home Printed from https://ideas.repec.org/p/hit/remfce/12.html
   My bibliography  Save this paper

How Are Property Investment Returns Determined? : Estimating the Micro-Structure of Asset Prices, Property Income, and Discount Rates

Author

Listed:
  • Shimizu, Chihiro

Abstract

How exactly should one estimate property investment returns? Investors in property aim to maximize capital gains from price increases and income generated by the property. How are the returns on investment in property determined based on its characteristics, and what kind of market characteristics does it have? Focusing on the Tokyo commercial property market and residential property market, the purpose of this paper was to break down and measure the micro-structure of property investment returns in as much detail as possible. In Japan, the characteristics of property suitable for investment are dubbed “kin-shin-dai” (close, new, and large). That is, investors believe that investment returns are high for properties that are very convenient in terms of transportation (close to the city center), new buildings (relatively new properties), and large-scale real estate (large design or floor space). Therefore, this paper first measured how the asset prices, income, and asset price-income ratios (discount rate) that comprise property investment returns change based on differences in these property characteristics. Second, the reliability/distortion of information that can be observed on the property investment market was measured. Much of the information available on the property investment market is property price information determined by property appraisers. However, it is known that property appraisal prices are unable to appropriately reflect actual property market trends. Therefore, using enterprise value data for REIT investment management companies comprised of REIT investment unit prices (share prices) available on capital markets, this paper proposed a method of estimating property investment returns corresponding to changes in capital markets, as well as clarifying the distortion in property investment returns that are formed based on property appraisal prices. Looking at the results obtained, for commercial property, as building floor space increased, it had the effect of raising both the income and price while lowering the discount rate. In particular, compared to residential property, the results showed that a higher investment return can be obtained from commercial property by investing in larger-scale properties. Building age lowered the asset price and income for both commercial and residential property, but the effect was especially strong for residential property. Furthermore, there was a significant divergence between discount rates and risk premiums formed by asset markets and those formed by capital markets, and the results showed that a greater difference was generated while the market was shrinking. This finding suggests that looking at property investment returns that are estimated based on asset market information alone could lead to erroneous investment decisions.

Suggested Citation

  • Shimizu, Chihiro, 2014. "How Are Property Investment Returns Determined? : Estimating the Micro-Structure of Asset Prices, Property Income, and Discount Rates," HIT-REFINED Working Paper Series 12, Institute of Economic Research, Hitotsubashi University.
  • Handle: RePEc:hit:remfce:12
    as

    Download full text from publisher

    File URL: https://hermes-ir.lib.hit-u.ac.jp/hermes/ir/re/26844/wp012.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ivar Ekeland & James J. Heckman & Lars Nesheim, 2004. "Identification and Estimation of Hedonic Models," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 60-109, February.
    2. Diewert, W E, 1974. "Intertemporal Consumer Theory and the Demand for Durables," Econometrica, Econometric Society, vol. 42(3), pages 497-516, May.
    3. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-436, June.
    4. repec:dau:papers:123456789/6486 is not listed on IDEAS
    5. W. Erwin DIEWERT & Jan de HAAN & Rens HENDRIKS, 2011. "The Decomposition of a House Price Index into Land and Structures Components: A Hedonic Regression Approach," The Valuation Journal, The National Association of Authorized Romanian Valuers, vol. 6(1), pages 58-105.
    6. K. Chau & S. Wong & C. Yiu, 2005. "Adjusting for Non-Linear Age Effects in the Repeat Sales Index," The Journal of Real Estate Finance and Economics, Springer, vol. 31(2), pages 137-153, September.
    7. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    8. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    9. Quigley, John M., 1982. "Nonlinear budget constraints and consumer demand: An application to public programs for residential housing," Journal of Urban Economics, Elsevier, vol. 12(2), pages 177-201, September.
    10. LeRoy, Stephen F & Porter, Richard D, 1981. "The Present-Value Relation: Tests Based on Implied Variance Bounds," Econometrica, Econometric Society, vol. 49(3), pages 555-574, May.
    11. Crowe, Christopher & Dell’Ariccia, Giovanni & Igan, Deniz & Rabanal, Pau, 2013. "How to deal with real estate booms: Lessons from country experiences," Journal of Financial Stability, Elsevier, vol. 9(3), pages 300-319.
    12. Tobin, James, 1969. "A General Equilibrium Approach to Monetary Theory," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 1(1), pages 15-29, February.
    13. W. Erwin Diewert & Alice O. Nakamura, 2009. "Accounting for housing in a CPI," Working Papers 09-4, Federal Reserve Bank of Philadelphia.
    14. Sheharyar Bokhari & David Geltner, 2012. "Estimating Real Estate Price Movements for High Frequency Tradable Indexes in a Scarce Data Environment," The Journal of Real Estate Finance and Economics, Springer, vol. 45(2), pages 522-543, August.
    15. David Geltner, 1989. "Estimating Real Estate's Systematic Risk from Aggregate Level Appraisal‐Based Returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 17(4), pages 463-481, December.
    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. Omokolade Akinsomi & Nikiwe Mkhabela & Marimo Taderera, 2018. "The role of macro-economic indicators in explaining direct commercial real estate returns: evidence from South Africa," Journal of Property Research, Taylor & Francis Journals, vol. 35(1), pages 28-52, January.

    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. Celia Bilbao-Terol, 2009. "Impacts of an Iron and Steel Plant on Residential Property Values," European Planning Studies, Taylor & Francis Journals, vol. 17(9), pages 1421-1436, September.
    2. Manuel Landajo & Celia Bilbao & Amelia Bilbao, 2012. "Nonparametric neural network modeling of hedonic prices in the housing market," Empirical Economics, Springer, vol. 42(3), pages 987-1009, June.
    3. Diewert, W. Erwin & Nishimura , Kiyohiko & Shimizu, Chihiro & Watanabe, Tsutomu, 2014. "Residential Property Price Indexes for Japan: An Outline of the Japanese Official RPPI," Economics working papers erwin_diewert-2014-17, Vancouver School of Economics, revised 27 Mar 2014.
    4. Paulo M.M. Rodrigues & Rita Fradique Lourenço, 2015. "House prices: bubbles, exuberance or something else? Evidence from euro area countries," Working Papers w201517, Banco de Portugal, Economics and Research Department.
    5. Kerstens, Kristiaan & Mounir, Amine & de Woestyne, Ignace Van, 2011. "Non-parametric frontier estimates of mutual fund performance using C- and L-moments: Some specification tests," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1190-1201, May.
    6. Rickard Enström & Olof Netzell, 2008. "Can Space Syntax Help Us in Understanding the Intraurban Office Rent Pattern? Accessibility and Rents in Downtown Stockholm," The Journal of Real Estate Finance and Economics, Springer, vol. 36(3), pages 289-305, April.
    7. Lars Nesheim, 2006. "Hedonic price functions," CeMMAP working papers CWP18/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Liang Peng, 2020. "Benchmarking Local Commercial Real Estate Returns: Statistics Meets Economics," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(4), pages 1004-1029, December.
    9. W. Erwin Diewert & Kevin J. Fox & Chihiro Shimizu, 2016. "Commercial Property Price Indexes And The System Of National Accounts," Journal of Economic Surveys, Wiley Blackwell, vol. 30(5), pages 913-943, December.
    10. Jose Torres-Pruñonosa & Pablo García-Estévez & Josep Maria Raya & Camilo Prado-Román, 2022. "How on Earth Did Spanish Banking Sell the Housing Stock?," SAGE Open, , vol. 12(1), pages 21582440221, March.
    11. Frank F. Limehouse & Peter C. Melvin & Robert E. McCormick, 2010. "The Demand for Environmental Quality: An Application of Hedonic Pricing in Golf," Journal of Sports Economics, , vol. 11(3), pages 261-286, June.
    12. Erwin Diewert & Chihiro Shimizu, 2020. "Alternative Land‐Price Indexes for Commercial Properties in Tokyo," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(4), pages 784-824, December.
    13. Jaume García & Plácido Rodríguez & Federico Todeschini, 2020. "The Demand for the Characteristics of Football Matches: A Hedonic Price Approach," Journal of Sports Economics, , vol. 21(7), pages 688-704, October.
    14. Masha Maslianskaia-Pautrel, 2013. "Hedonic Model with Discrete Consumer Heterogeneity and Horizontal Differentiated Housing," CEEES Paper Series CE3S-03/13, European University at St. Petersburg, Department of Economics.
    15. James J. Heckman & Rosa Matzkin & Lars Nesheim, 2003. "Simulation and Estimation of Nonaddative Hedonic Models," NBER Working Papers 9895, National Bureau of Economic Research, Inc.
    16. repec:spo:wpmain:info:hdl:2441/5qh5s98no08b0p4s2sgkev0893 is not listed on IDEAS
    17. Nicodemo, Catia & Raya, Josep Maria, 2012. "Change in the distribution of house prices across Spanish cities," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 739-748.
    18. G. Carlier & I. Ekeland, 2019. "Equilibrium in quality markets, beyond the transferable case," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 67(2), pages 379-391, March.
    19. Richard W. Kopcke, 1992. "Profits and stock prices: the importance of being earnest," New England Economic Review, Federal Reserve Bank of Boston, issue Mar, pages 26-44.
    20. Bilbao-Terol, Amelia & Álvarez-Otero, Susana & Bilbao-Terol, Celia & Cañal-Fernández, Verónica, 2017. "Hedonic evaluation of the SRI label of mutual funds using matching methodology," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 213-227.
    21. Jose Torres-Pruñonosa & Pablo García-Estévez & Camilo Prado-Román, 2021. "Artificial Neural Network, Quantile and Semi-Log Regression Modelling of Mass Appraisal in Housing," Mathematics, MDPI, vol. 9(7), pages 1-16, April.

    More about this item

    Keywords

    Present Value Model; discount rate; quality-adjusted price index; hedonic approach; heterogeneity; Tobin’s q; Risk premium;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • G19 - Financial Economics - - General Financial Markets - - - Other

    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:hit:remfce:12. 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: Digital Resources Section, Hitotsubashi University Library (email available below). General contact details of provider: https://edirc.repec.org/data/iehitjp.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.