IDEAS home Printed from https://ideas.repec.org/a/kap/jrefec/v47y2013i4p688-718.html
   My bibliography  Save this article

Who Says there is a High Consensus Among Analysts when Market Uncertainty is High? Some New Evidence from the Commercial Real Estate Market

Author

Listed:
  • James Shilling
  • C. Sirmans
  • Barrett Slade

Abstract

This paper seeks to determine whether analyst consensus is a function of the level of price informativeness, and therefore attempts to gauge the extent to which analyst consensus is high when market uncertainty is high. There is the view that a small or declining volume of trading implies less information and lower quality information, and that a lower level of price informativeness will lead analysts to put more weight on their private information at the time of forecasting. We add to this view the notion that when uncertainty is high there might be a positive option value of waiting. In this case, it appears reasonable to conclude that analysts may actually lack consensus when uncertainty is high. If this hypothesis is correct, then one would expect the level of price informativeness to override the Keynesian incentive “to fail conventionally than to succeed unconventionally” or at least reduce its magnitude in periods of declining trading volume and low price discovery. Tests of this hypothesis produce favorable results. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • James Shilling & C. Sirmans & Barrett Slade, 2013. "Who Says there is a High Consensus Among Analysts when Market Uncertainty is High? Some New Evidence from the Commercial Real Estate Market," The Journal of Real Estate Finance and Economics, Springer, vol. 47(4), pages 688-718, November.
  • Handle: RePEc:kap:jrefec:v:47:y:2013:i:4:p:688-718
    DOI: 10.1007/s11146-013-9430-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11146-013-9430-3
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11146-013-9430-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Williams, Joseph T, 1993. "Equilibrium and Options on Real Assets," The Review of Financial Studies, Society for Financial Studies, vol. 6(4), pages 825-850.
    2. MartinNeil Baily & Robert Z. Lawrence, 2001. "Do We Have a New E-conomy?," American Economic Review, American Economic Association, vol. 91(2), pages 308-312, May.
    3. Del Guercio, Diane, 1996. "The distorting effect of the prudent-man laws on institutional equity investments," Journal of Financial Economics, Elsevier, vol. 40(1), pages 31-62, January.
    4. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    5. Steven R. Grenadier, 2005. "An Equilibrium Analysis of Real Estate Leases," The Journal of Business, University of Chicago Press, vol. 78(4), pages 1173-1214, July.
    6. Richard Barkham & David Geltner, 1995. "Price Discovery in American and British Property Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 23(1), pages 21-44, March.
    7. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    8. James Claus & Jacob Thomas, 2001. "Equity Premia as Low as Three Percent? Evidence from Analysts' Earnings Forecasts for Domestic and International Stock Markets," Journal of Finance, American Finance Association, vol. 56(5), pages 1629-1666, October.
    9. Orie E. Barron & Donal Byard & Charles Kile & Edward J. Riedl, 2002. "High‐Technology Intangibles and Analysts’ Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 40(2), pages 289-312, May.
    10. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    11. Grenadier, Steven R, 1999. "Information Revelation through Option Exercise," The Review of Financial Studies, Society for Financial Studies, vol. 12(1), pages 95-129.
    12. Robert McDonald & Daniel Siegel, 1986. "The Value of Waiting to Invest," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(4), pages 707-727.
    13. Glascock, John L & Lu, Chiuling & So, Raymond W, 2000. "Further Evidence on the Integration of REIT, Bond, and Stock Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 20(2), pages 177-194, March.
    14. Harrison Hong & Jeffrey D. Kubik & Amit Solomon, 2000. "Security Analysts' Career Concerns and Herding of Earnings Forecasts," RAND Journal of Economics, The RAND Corporation, vol. 31(1), pages 121-144, Spring.
    15. David C. Ling, 2005. "A Random Walk Down Main Street: Can Experts Predict Returns on Commercial Real Estate?," Journal of Real Estate Research, American Real Estate Society, vol. 27(2), pages 137-154.
    16. Grenadier, Steven R, 1996. "The Strategic Exercise of Options: Development Cascades and Overbuilding in Real Estate Markets," Journal of Finance, American Finance Association, vol. 51(5), pages 1653-1679, December.
    17. Abdullah Yavas & Yildiray Yildirim, 2011. "Price Discovery in Real Estate Markets: A Dynamic Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 42(1), pages 1-29, January.
    18. repec:bla:jfinan:v:53:y:1998:i:2:p:431-465 is not listed on IDEAS
    19. John A. Doukas & Chansog (Francis) Kim & Christos Pantzalis, 2002. "A Test of the Errors‐in‐Expectations Explanation of the Value/Glamour Stock Returns Performance: Evidence from Analysts' Forecasts," Journal of Finance, American Finance Association, vol. 57(5), pages 2143-2165, October.
    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. Grzegorz Pawlina & Peter M. Kort, 2006. "Real Options in an Asymmetric Duopoly: Who Benefits from Your Competitive Disadvantage?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(1), pages 1-35, March.
    2. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    3. Suresh M. Sundaresan, 2000. "Continuous‐Time Methods in Finance: A Review and an Assessment," Journal of Finance, American Finance Association, vol. 55(4), pages 1569-1622, August.
    4. Pawlina, G. & Kort, P.M., 2001. "Strategic Capital Budgeting : Asset Replacement Under Uncertainty," Discussion Paper 2001-4, Tilburg University, Center for Economic Research.
    5. Lambrecht, Bart & Perraudin, William, 2003. "Real options and preemption under incomplete information," Journal of Economic Dynamics and Control, Elsevier, vol. 27(4), pages 619-643, February.
    6. Steven R. Grenadier, 2003. "An Equilibrium Analysis of Real Estate," NBER Working Papers 9475, National Bureau of Economic Research, Inc.
    7. Steven H. Ott & Timothy J. Riddiough & Ha-Chin Yi & Jiro Yoshida, 2008. "On Demand: Cross-Country Evidence From Commercial Real Estate Asset Markets," International Real Estate Review, Global Social Science Institute, vol. 11(1), pages 1-37.
    8. Clapp, John M. & Bardos, Katsiaryna Salavei & Wong, S.K., 2012. "Empirical estimation of the option premium for residential redevelopment," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 240-256.
    9. Hans Haanappel & Han Smit, 2007. "Return distributions of strategic growth options," Annals of Operations Research, Springer, vol. 151(1), pages 57-80, April.
    10. Chevalier-Roignant, Benoît & Flath, Christoph M. & Huchzermeier, Arnd & Trigeorgis, Lenos, 2011. "Strategic investment under uncertainty: A synthesis," European Journal of Operational Research, Elsevier, vol. 215(3), pages 639-650, December.
    11. Jyh-Bang Jou & Tan (Charlene) Lee, 2009. "How Does a Development Moratorium Affect Development Timing Choices and Land Values?," The Journal of Real Estate Finance and Economics, Springer, vol. 39(3), pages 301-315, October.
    12. Guo, Xu & Gu, Chen & Zebedee, Allan A. & Chiu, Li-ting, 2024. "The effect of institutional herding on stock prices: The differentiating role of credit ratings," Journal of Banking & Finance, Elsevier, vol. 163(C).
    13. Nolte, Ingmar & Nolte, Sandra & Vasios, Michalis, 2014. "Sell-side analysts’ career concerns during banking stresses," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 424-441.
    14. Rose Neng Lai & Lawrence Hoc Nang Fong, 2021. "Development Strategies in a Market of High Vacancies and Sticky Rates – The Case of the Hotel Industry," International Real Estate Review, Global Social Science Institute, vol. 24(3), pages 363-383.
    15. Camilo Serrano & Martin Hoesli, 2012. "Fractional Cointegration Analysis of Securitized Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 44(3), pages 319-338, April.
    16. Bulan, Laarni & Mayer, Christopher & Somerville, C. Tsuriel, 2009. "Irreversible investment, real options, and competition: Evidence from real estate development," Journal of Urban Economics, Elsevier, vol. 65(3), pages 237-251, May.
    17. Paul Décaire & Erik P. Gilje & Jérôme P. Taillard, 2019. "Real Option Exercise: Empirical Evidence," NBER Working Papers 25624, National Bureau of Economic Research, Inc.
    18. Jianjun Miao & Neng Wang, 2004. "Investment, Hedging, and Consumption Smoothing," Finance 0407014, University Library of Munich, Germany.
    19. Ramnath, Sundaresh & Rock, Steve & Shane, Philip, 2008. "The financial analyst forecasting literature: A taxonomy with suggestions for further research," International Journal of Forecasting, Elsevier, vol. 24(1), pages 34-75.
    20. Azevedo, Alcino & Paxson, Dean, 2014. "Developing real option game models," European Journal of Operational Research, Elsevier, vol. 237(3), pages 909-920.

    More about this item

    Keywords

    Economic Fluctuations and Growth; Information; Knowledge; Uncertainty; E3; D8;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

    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:kap:jrefec:v:47:y:2013:i:4:p:688-718. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.