IDEAS home Printed from https://ideas.repec.org/a/kap/jrefec/v64y2022i3d10.1007_s11146-020-09812-2.html
   My bibliography  Save this article

Asymmetric Patterns of Demand-Supply Mismatch in Real Estate

Author

Listed:
  • Gianluca Marcato

    (University of Reading)

  • Anupam Nanda

    (University of Manchester)

Abstract

As expectations change, we may observe asymmetry in responses of economic agents over various phases of the economic cycles. In this paper, we analyze both demand and supply side information to understand the dynamics of price determination in the real estate market and examine the relationship between expectation parameters and demand-supply mismatch. Our hypothesis builds on the possibility that investors’ call for action in terms of their buy/sell decision and adjustment in reservation prices may provide valuable insights into impending demand-supply imbalances in the market. We study several real estate sectors to inform our analysis. The timeframe of our analysis (1995–2010) allows us to observe market dynamics over several economic cycles. We test our hypothesis variously using several measures of market activity within a structural panel VAR framework. Our analysis suggests that investors’ attitude may have substantial and statistically significant feedback effects in price determination. These results indicate noticeable asymmetry in responses during the boom, normal and recessionary periods.

Suggested Citation

  • Gianluca Marcato & Anupam Nanda, 2022. "Asymmetric Patterns of Demand-Supply Mismatch in Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 64(3), pages 440-472, April.
  • Handle: RePEc:kap:jrefec:v:64:y:2022:i:3:d:10.1007_s11146-020-09812-2
    DOI: 10.1007/s11146-020-09812-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11146-020-09812-2
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11146-020-09812-2?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. Hall, Robert E, 1978. "Stochastic Implications of the Life Cycle-Permanent Income Hypothesis: Theory and Evidence," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 971-987, December.
    2. David C. Ling & Andy Naranjo & Benjamin Scheick, 2014. "Investor Sentiment, Limits to Arbitrage and Private Market Returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(3), pages 531-577, September.
    3. Ralf Hohenstatt & Manuel Kaesbauer, 2014. "'GECO's Weather Forecast' for the U.K. Housing Market: To What Extent Can We Rely on Google ECOnometrics?," Journal of Real Estate Research, American Real Estate Society, vol. 36(2), pages 253-282.
    4. Gianluca Marcato & Anupam Nanda, 2016. "Information Content and Forecasting Ability of Sentiment Indicators: Case of Real Estate Market," Journal of Real Estate Research, American Real Estate Society, vol. 38(2), pages 165-204.
    5. Jim Clayton & David Ling & Andy Naranjo, 2009. "Commercial Real Estate Valuation: Fundamentals Versus Investor Sentiment," The Journal of Real Estate Finance and Economics, Springer, vol. 38(1), pages 5-37, January.
    6. Junmao Chiu & Huimin Chung & Keng-Yu Ho, 2014. "Fear Sentiment, Liquidity, and Trading Behavior: Evidence from the Index ETF Market," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 1-25.
    7. Jeff Fisher & David Geltner & Henry Pollakowski, 2007. "A Quarterly Transactions-based Index of Institutional Real Estate Investment Performance and Movements in Supply and Demand," The Journal of Real Estate Finance and Economics, Springer, vol. 34(1), pages 5-33, January.
    8. Jeffrey Fisher & Dean Gatzlaff & David Geltner & Donald Haurin, 2003. "Controlling for the Impact of Variable Liquidity in Commercial Real Estate Price Indices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 31(2), pages 269-303, June.
    9. David Ling & Gianluca Marcato & Pat McAllister, 2009. "Dynamics of Asset Prices and Transaction Activity in Illiquid Markets: the Case of Private Commercial Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 39(3), pages 359-383, October.
    10. Zhenguo Lin & Kerry D. Vandell, 2007. "Illiquidity and Pricing Biases in the Real Estate Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 35(3), pages 291-330, September.
    11. Dorinth van Dijk & David Geltner & Alex van de Minne, 2018. "Revisiting supply and demand indexes in real estate," DNB Working Papers 583, Netherlands Central Bank, Research Department.
    12. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    13. Prashant Das & Julia Freybote & Gianluca Marcato, 2015. "An Investigation into Sentiment-Induced Institutional Trading Behavior and Asset Pricing in the REIT Market," The Journal of Real Estate Finance and Economics, Springer, vol. 51(2), pages 160-189, August.
    14. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    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. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    17. Justin Benefield & William Hardin, 2015. "Does Time-on-Market Measurement Matter?," The Journal of Real Estate Finance and Economics, Springer, vol. 50(1), pages 52-73, January.
    18. David C. Ling & Joseph T.L. Ooi & Thao T.T. Le, 2015. "Explaining House Price Dynamics: Isolating the Role of Nonfundamentals," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 87-125, March.
    19. Dorinth van Dijk & David Geltner & Alex van de Minne, 2018. "Revisiting supply and demand indexes in real estate," ERES eres2018_41, European Real Estate Society (ERES).
    20. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    21. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    22. Steffen Heinig & Anupam Nanda, 2018. "Measuring sentiment in real estate – a comparison study," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 36(3), pages 248-258, April.
    23. Colin Lizieri & Gianluca Marcato & Paul Ogden & Andrew Baum, 2012. "Pricing Inefficiencies in Private Real Estate Markets Using Total Return Swaps," The Journal of Real Estate Finance and Economics, Springer, vol. 45(3), pages 774-803, 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. Enwei Zhu & Jing Wu & Hongyu Liu & Keyang Li, 2023. "A Sentiment Index of the Housing Market in China: Text Mining of Narratives on Social Media," The Journal of Real Estate Finance and Economics, Springer, vol. 66(1), pages 77-118, January.
    2. Sergiy Saydometov & Sanjiv Sabherwal & Ramya Rajajagadeesan Aroul, 2020. "Sentiment and its asymmetric effect on housing returns," Review of Financial Economics, John Wiley & Sons, vol. 38(4), pages 580-600, October.
    3. Qiulin Ke & Karen Sieracki, 2018. "Exploring sentiment-driven trading behavior of different types of investors in London office market," ERES eres2018_112, European Real Estate Society (ERES).
    4. Ramya Rajajagadeesan Aroul & Sanjiv Sabherwal & Sergiy Saydometov, 2022. "FEAR Index, city characteristics, and housing returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(1), pages 173-205, March.
    5. Steffen Heinig & Anupam Nanda & Sotiris Tsolacos, 2016. "Which Sentiment Indicators Matter? An Analysis of the European Commercial Real Estate Market," ICMA Centre Discussion Papers in Finance icma-dp2016-04, Henley Business School, University of Reading.
    6. Daisy J. Huang & Charles Ka Yui Leung & Chung-Yi Tse, 2018. "What Accounts for the Differences in Rent-Price Ratio and Turnover Rate? A Search-and-Matching Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 57(3), pages 431-475, October.
    7. Dorinth van Dijk, 2019. "Local Constant-Quality Housing Market Liquidity Indices," DNB Working Papers 637, Netherlands Central Bank, Research Department.
    8. Shulin Shen & Yiyi Zhao & Jindong Pang, 2024. "Local Housing Market Sentiments and Returns: Evidence from China," The Journal of Real Estate Finance and Economics, Springer, vol. 68(3), pages 488-522, April.
    9. Gianluca Marcato, 2018. "Liquidity Pricing of Illiquid Assets," ERES eres2018_215, European Real Estate Society (ERES).
    10. Das, Prashant & Füss, Roland & Hanle, Benjamin & Russ, Isabel Nina, 2020. "The cross-over effect of irrational sentiments in housing, commercial property, and stock markets," Journal of Banking & Finance, Elsevier, vol. 114(C).
    11. Robert J. Hill & Miriam Steurer, 2020. "Commercial Property Price Indices and Indicators: Review and Discussion of Issues Raised in the CPPI Statistical Report of Eurostat (2017)," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 736-751, September.
    12. Jim Clayton & David Ling & Andy Naranjo, 2009. "Commercial Real Estate Valuation: Fundamentals Versus Investor Sentiment," The Journal of Real Estate Finance and Economics, Springer, vol. 38(1), pages 5-37, January.
    13. Bond, Shaun A. & Chang, Qingqing, 2012. "Liquidity dynamics across public and private markets," Journal of International Money and Finance, Elsevier, vol. 31(7), pages 1890-1910.
    14. Chang, Young Bong & Kwon, YoungOk, 2018. "Ambiguities in valuing information technology firms: Do internet searches help?," Journal of Business Research, Elsevier, vol. 92(C), pages 260-269.
    15. Zhou, Zhengyi, 2018. "Housing market sentiment and intervention effectiveness: Evidence from China," Emerging Markets Review, Elsevier, vol. 35(C), pages 91-110.
    16. Mikhail Stolbov & Maria Shchepeleva, 2023. "Sentiment-based indicators of real estate market stress and systemic risk: international evidence," Annals of Finance, Springer, vol. 19(3), pages 355-382, September.
    17. Chang, Chuang-Chang & Chao, Ching-Hsiang & Yeh, Jin-Huei, 2016. "The role of buy-side anchoring bias: Evidence from the real estate market," Pacific-Basin Finance Journal, Elsevier, vol. 38(C), pages 34-58.
    18. Kučerová, Zuzana & Pakši, Daniel & Koňařík, Vojtěch, 2024. "Macroeconomic fundamentals and attention: What drives european consumers’ inflation expectations?," Economic Systems, Elsevier, vol. 48(1).
    19. Melo, Grace & Ames, Glenn, 2016. "Driving Factors of Rural-Urban Migration in China," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235508, Agricultural and Applied Economics Association.
    20. Chien-Chiang Lee & Chin-Yu Wang & Jhih-Hong Zeng, 2017. "Housing price–volume correlations and boom–bust cycles," Empirical Economics, Springer, vol. 52(4), pages 1423-1450, June.

    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:64:y:2022:i:3:d:10.1007_s11146-020-09812-2. 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.