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The Measurement and Modelling of Commercial Real Estate Performance

Published online by Cambridge University Press:  10 June 2011

P. M. Booth Professor  and
G. Marcato
P. M. Booth Professor
Affiliation:
Cass Business School, 106 Bunhill Row, London EC1Y 8TZ, U.K., Email: p.booth@city.ac.uk
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Abstract

In this paper we discuss methods of developing real estate indices, the availability of real estate data, the problems of using published real estate data and how real estate data can be used for stochastic investment modelling for actuarial purposes. In recent years there have been many developments in the collection, presentation and analysis of real estate data that have not found their way into the actuarial literature. We review those developments and suggest and develop ways in which raw real estate investment data can be used for actuarial purposes. We then review the Wilkie real estate stochastic investment model and use the research of real estate finance academics to inform a critique and development of that model. In developing the models, different data sets are used, including data from valuation-based and de-smoothed indices in order to find appropriate parameter estimates. The significance (or otherwise) of the parameter estimates is tested for each of the fitted models and the differences between the fitted models are examined. By reviewing research in the real estate finance field, making use of the latest research and developing original work, the main aim of this paper is to ensure that actuaries have the means to collect, understand and manipulate real estate data for performance measurement and investment modelling purposes.

Keywords

Commercial Property IndicesStochastic Investment ModellingPerformance Measurement
Type
Sessional meetings: papers and abstracts of discussions
Information
British Actuarial Journal , Volume 10 , Issue 1 , 01 April 2004 , pp. 5 - 61
Copyright
Copyright © Institute and Faculty of Actuaries 2004

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References

REFERENCES

Adams, A.T., Booth, P.M., Bowie, D. & Freeth, D.S. (2003). Investment mathematics. Wiley, U.K.Google Scholar
Barclays Capital (2003). Equity-gilt study 2003. Barclays Capital, London, U.K.Google Scholar
Barkham, R. & Geltner, D. (1994). Unsmoothing British valuation-based returns without assuming an efficient market. Journal of Property Research, 11, 81–95.CrossRefGoogle Scholar
Barkham, R. & Geltner, D. (1995). Price discovery in American and British property markets. Real Estate Economics, 23(1), 21–44.CrossRefGoogle Scholar
Booth, P.M. & Matysiak, G.A. (2004). How unsmoothing should affect pension plan asset allocation. Journal of Property Investment and Finance (forthcoming).CrossRefGoogle Scholar
Booth, P.M. & Marcato, G. (2003). The dependency between returns from direct real estate and returns from real estate shares. Journal of Property Investment and Finance (forthcoming).Google Scholar
Bowles, G., McAllister, P. & Tarbert, H. (2001). An assessment of the impact of valuation error on property investment performance measurement. Journal of Property Investment and Finance, 19(2), 139–155.CrossRefGoogle Scholar
Brown, G.R. & Liow, K.H. (2001). Cyclical relationship between commercial real estate prices and property stock prices. Journal of Property Research, 18(4), 309–320.CrossRefGoogle Scholar
Brown, G.R. & Matysiak, G.A. (1998). Valuation smoothing without temporal aggregation. Journal of Property Research, 15, 89–103.CrossRefGoogle Scholar
Brown, G.R. & Matysiak, G.A. (2000). Real estate investment: a capital market approach. Financial Times Prentice Hall, Harlow, U.K.Google Scholar
Case, B. & Quigley, J. (1991). The dynamics of real estate prices. Review of Economics and Statistics, 73, 50–58.CrossRefGoogle Scholar
Chaplin, R. (1997). Unsmoothing valuation-based indices using multiple regimes. Journal of Property Research, 14(3), 189–210.CrossRefGoogle Scholar
Church, D. (2001). Equity and debt the growth of new investment vehicles. Presentation at the IPD/IPF Property Investment Conference, November 2001.Google Scholar
Clayton, J., Geltner, D. & Hamilton, S.W. (2001). Smoothing in commercial property valuations: evidence from individual appraisals. Real Estate Economics, 17.Google Scholar
Daykin, C.D. & Hey, G.B. (1990). Managing uncertainty in a general insurance company. Journal of the Institute of Actuaries, 117, 173–277.CrossRefGoogle Scholar
Fisher, J. & Geltner, D. (2000). De-lagging the NCREIF Index: transaction prices and reverse engineering. Real Estate Finance, 17(1), 7–22.Google Scholar
Fisher, J.D., Geltner, D. & Webb, R.B. (1994). Value indices of commercial real estate: a comparison of index construction methods. Journal of Real Estate Finance and Economics, 9, 137–164.CrossRefGoogle Scholar
Flemming, M.C. & Nellis, J.G. (1997). The Halifax house price index technical details. Halifax PLC, U.K.Google Scholar
Gatzlaff, D. & Geltner, D. (1998). A transaction-based index of commercial property and its comparison to the NCRIEF index. Real Estate Finance, 15.Google Scholar
Geltner, D. (1991). Smoothing in Appraisal-based Returns. Journal of Real Estate Finance and Economics, 4, 327–345.CrossRefGoogle Scholar
Geltner, D. (1993a). Temporal aggregation in real estate return indices. Journal of the American Real Estate and Urban Economics Association, 21(2), 141–166.CrossRefGoogle Scholar
Geltner, D. (1993b). Estimating market values from appraised values without assuming an efficient market. Journal of Real Estate Research, 8(3), 325–345.CrossRefGoogle Scholar
Geltner, D. (1997a). The use of appraisals in portfolio valuation and index construction. Journal of Property Valuation and Investment, 15(5), 423–447.CrossRefGoogle Scholar
Geltner, D. (1997b). How accurate is the NCRIEF Index as a benchmark, and who cares? Real Estate Finance, Winter 1997.Google Scholar
Geltner, D. (1998). Appraisal smoothing: the other side of the story: a comment. Financial Economics Network, University of Cincinnati working paper.CrossRefGoogle Scholar
Geltner, D. (1999). Using the NCREIF index to shed light on what really happened to asset market values in 1998: an unsmoother's view of the statistics. Real Estate Finance, 16(1), 69–80.Google Scholar
Geltner, D. & Goetzmann, W. (2000). Two decades of commercial property returns: a repeated-measures regression-based version of the NCRIEF index. Journal of Real Estate Finance & Economics, 21(1).CrossRefGoogle Scholar
Hager, D.P. & Lord, D.J. (1985). The property market, property valuations and property performance measurement. Journal of the Institute of Actuaries, 112, 19–60.CrossRefGoogle Scholar
Harris, G.R. (1997). Regime switching vector auto-regressions: a Bayesian Markov chain Monte Carlo approach. Proceedings of the 7th AFIR Colloquium, 421–450.Google Scholar
H.M. Land Registry (2002). Residential property price report. H.M. Land Registry, U.K.Google Scholar
Huber, P.P. (1997). A review of Wilkie's stochastic investment model. British Actuarial Journal, 3, 181–210.CrossRefGoogle Scholar
IPD (2001). Understanding the new formula for annual total return. Investment Property Databank, London, U.K.Google Scholar
IPD (2002). IPD U.K. residential investment index. Investment Property Databank, London, U.K.Google Scholar
Lizieri, C.M. & Satchell, S. (1996). Property company returns and real interest rates: a regime switching approach. Working paper in Land Management, No. 45, Department of Land Management and Development, University of Reading.Google Scholar
Nationwide (1999). House prices. Nationwide, U.K.Google Scholar
Pagliari, J.L. Jr, Lieblich, F., Schaner, M. & Webb, J.R. (2001). Twenty years of the NCRIEF property index. Real Estate Economics, 29(1), 1–27.CrossRefGoogle Scholar
Pepper, G.T. (1994). Money, credit and asset prices. Macmillan, London.CrossRefGoogle Scholar
Quan, D. & Quigley, J. (1989). Inferring an investment return series for real estate from observations on sales. Journal of the American Real Estate and Urban Economics Association, 17, 218–230.CrossRefGoogle Scholar
Quan, D. & Quigley, J. (1991). Price formation and the appraisal function in real estate markets. Journal of Real Estate Finance and Economics, 4, 127–146.CrossRefGoogle Scholar
Scott, P. (1996). The property masters: a history of the British commercial property sector. E & FN Spon (Chapman & Hall), U.K.Google Scholar
Smith, A.D. (1996). How actuaries can use financial economics. British Actuarial Journal, 2, 1057–1193.CrossRefGoogle Scholar
Stevenson, S. (2001). Evaluating the investment attributes and performance of property companies. Journal of Property Investment and Finance, 19(3), 251–266.CrossRefGoogle Scholar
Thwaites, G. & Wood, R. (2003). The measurement of house prices. Bank of England Quarterly Bulletin, Spring 2003, 43, No. 1.Google Scholar
Yakoubov, Y.H., Teeger, M.H. & Duval, D.B. (1999). The TY model. Paper presented to the Staple Inn Actuarial Society.Google Scholar
White, M. & Holman, D. (2002). An analysis of de-smoothing and de-gearing techniques in the estimation of price discovery relationships. Paper presented at the 9th ERES Annual Conference, June 2002.Google Scholar
Whitten, S.P. & Thomas, R.G. (1999). A non-linear stochastic asset model for actuarial use. British Actuarial Journal, 5, 919–954.CrossRefGoogle Scholar
Wilkie, A.D. (1995). More on a stochastic asset model for actuarial use. British Actuarial Journal, 1, 777–964.CrossRefGoogle Scholar