IDEAS home Printed from https://ideas.repec.org/p/rdg/repxwp/rep-wp2005-06.html

The Production and Consumption of Commercial Real Estate Market Forecasts

Author

Listed:
  • Paul Gallimore

    (School of the Built environment, Nottingham Trent University)

  • Pat McAllister

    (Department of Real Estate & Planning, University of Reading)

Abstract

Whilst the vast majority of the research on property market forecasting has concentrated on statistical methods of forecasting future rents, this report investigates the process of property market forecast production with particular reference to the level and effect of judgemental intervention in this process. Expectations of future investment performance at the levels of individual asset, sector, region, country and asset class are crucial to stock selection and tactical and strategic asset allocation decisions. Given their centrality to investment performance, we focus on the process by which forecasts of rents and yields are generated and expectations formed. A review of the wider literature on forecasting suggests that there are strong grounds to expect that forecast outcomes are not the result of purely mechanical calculations.

Suggested Citation

  • Paul Gallimore & Pat McAllister, 2005. "The Production and Consumption of Commercial Real Estate Market Forecasts," Real Estate & Planning Working Papers rep-wp2005-06, Henley Business School, University of Reading.
  • Handle: RePEc:rdg:repxwp:rep-wp2005-06
    as

    Download full text from publisher

    File URL: http://www.henley.reading.ac.uk/rep/fulltxt/0605.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    2. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    3. David Laster & Paul Bennett & In Sun Geoum, 1999. "Rational Bias in Macroeconomic Forecasts," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 293-318.
    4. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    5. Sotiris Tsolacos, 1998. "Econometric modelling and forecasting of new retail development," Journal of Property Research, Taylor & Francis Journals, vol. 15(4), pages 265-283, January.
    6. Dean Croushore, 1993. "Introducing: the survey of professional forecasters," Business Review, Federal Reserve Bank of Philadelphia, issue Nov, pages 3-15.
    7. Chris Brooks & Sotiris Tsolacos, 2001. "Forecasting real estate returns using financial spreads," Journal of Property Research, Taylor & Francis Journals, vol. 18(3), pages 235-248.
    8. Eamonn D'Arcy & Tony McGough & Sotiris Tsolacos, 1999. "An econometric analysis and forecasts of the office rental cycle in the Dublin area," Journal of Property Research, Taylor & Francis Journals, vol. 16(4), pages 309-321, January.
    Full references (including those not matched with items on IDEAS)

    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. Paul Gallimore & Patrick McAllister, 2004. "Expert judgement in the Processes of Commercial Property Market Forecasting," Real Estate & Planning Working Papers rep-wp2004-11, Henley Business School, University of Reading.
    2. Pat McAllister & Graeme Newell & George Matysiak, 2005. "An Evaluation Of The Performance Of UK Real Estate Forecasters," Real Estate & Planning Working Papers rep-wp2005-23, Henley Business School, University of Reading.
    3. Dovern, Jonas & Jannsen, Nils, 2017. "Systematic errors in growth expectations over the business cycle," International Journal of Forecasting, Elsevier, vol. 33(4), pages 760-769.
    4. Clements, Michael P., "undated". "Internal consistency of survey respondentsíforecasts: Evidence based on the Survey of Professional Forecasters," Economic Research Papers 269742, University of Warwick - Department of Economics.
    5. Carlos Capistr¡N & Allan Timmermann, 2009. "Disagreement and Biases in Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 365-396, March.
    6. Patrick Mcallister & Graeme Newell & George Matysiak, 2008. "Agreement and Accuracy in Consensus Forecasts of the UK Commercial Property Market," Journal of Property Research, Taylor & Francis Journals, vol. 25(1), pages 1-22, June.
    7. Pat McAllister & Graeme Newell & George Matysiak, 2005. "Analysing Uk Real Estate Market Forecast Disagreement," Real Estate & Planning Working Papers rep-wp2005-13, Henley Business School, University of Reading.
    8. Constantin Burgi, 2016. "What Do We Lose When We Average Expectations?," Working Papers 2016-013, The George Washington University, The Center for Economic Research.
    9. repec:diw:diwwpp:dp787 is not listed on IDEAS
    10. Jonas Dovern & Ulrich Fritsche, 2008. "Estimating Fundamental Cross-Section Dispersion from Fixed Event Forecasts," Discussion Papers of DIW Berlin 787, DIW Berlin, German Institute for Economic Research.
    11. Clements, Michael P., 2010. "Explanations of the inconsistencies in survey respondents' forecasts," European Economic Review, Elsevier, vol. 54(4), pages 536-549, May.
    12. Sebastiano Manzan, 2011. "Differential Interpretation in the Survey of Professional Forecasters," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(5), pages 993-1017, August.
    13. Michael P. Clements, 2014. "US Inflation Expectations and Heterogeneous Loss Functions, 1968–2010," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 1-14, January.
    14. Norman Swanson & Oleg Korenok, 2006. "The Incremental Predictive Information Associated with Using Theoretical New Keynesian DSGE Models Versus Simple Linear Alternatives," Departmental Working Papers 200615, Rutgers University, Department of Economics.
    15. W A Razzak, 2002. "Monetary policy and forecasting inflation with and without the output gap," Reserve Bank of New Zealand Discussion Paper Series DP2002/03, Reserve Bank of New Zealand.
    16. Monique Reid & Stan du Plessis, 2011. "Talking to the inattentive Public: How the media translates the Reserve Bank’s communications," Working Papers 19/2011, Stellenbosch University, Department of Economics.
    17. Jordi Pons-Novell, 2006. "An analysis of a panel of Spanish GDP forecasts," Applied Economics, Taylor & Francis Journals, vol. 38(11), pages 1287-1292.
    18. Broer, Tobias & Kohlhas, Alexandre, 2018. "Forecaster (Mis-)Behavior," CEPR Discussion Papers 12898, C.E.P.R. Discussion Papers.
    19. Clements, Michael P., 2024. "Survey expectations and adjustments for multiple testing," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 338-354.
    20. Sarah M. Lein & Thomas Maag, 2011. "The Formation Of Inflation Perceptions: Some Empirical Facts For European Countries," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(2), pages 155-188, May.
    21. Roy Batchelor, 2007. "Forecaster Behaviour and Bias in Macroeconomic Forecasts," ifo Working Paper Series 39, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:rdg:repxwp:rep-wp2005-06. 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: Marie Pearson (email available below). General contact details of provider: https://edirc.repec.org/data/bsrdguk.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.