IDEAS home Printed from https://ideas.repec.org/a/ire/issued/v13n012010p46-78.html
   My bibliography  Save this article

Are Broker Quotes Too Optimistic? Korean Evidence

Author

Listed:
  • Yun W. Park

    (California State University-Fullerton)

  • Doo Woan Bahng

    (Changwon National University)

  • Sae Woon Park

    (Changwon National University, Changwon, Korea)

Abstract

We examine the behavior of broker quotes in Korean housing markets by comparing the Kookmin Bank apartment (a condominium in a high- rise residential building) price index, a broker quote based apartment price index, and a repeat sales apartment price index that we built using transaction prices, which have become available since January 2006. Broker quotes may differ from actual prices depending on the housing market conditions. Specifically, we test the hypotheses: (1) price increases shown by the broker quote based apartment price index are greater than those shown by the repeat sales apartment price index in an up market; and (2) the broker quote based price index shows a far less price reduction than the repeat sales price index in a down market. We find that indeed in a down market, the broker quote based price index shows far less price reduction than the repeat sales price index (5.75%-8.07%). However, the broker quote based price index does not distort the prices in an up market, where trading volumes are high. It appears that the price inflation in the broker quotes rises as the transaction volume drops. While broker quotes are substantially higher than transaction prices in a down market, the broker sentiment, which is a qualitative assessment of market conditions, appears to be more in line with transaction prices. We have also documented that the broker quote based index reaches its peak about two months after the peak of the repeat sales based index. Finally, broker quotes are smooth in comparison to transaction prices and they are smoothed more in a down market than an up market. Our results suggest that an optimistic view of broker quotes is problematic only in down markets where trading volumes are limited. The price inflation in broker quotes is a risk to the financial system in a market with only a broker quote based index in that it overstates the collateral values underlying mortgage loans in a down market.

Suggested Citation

  • Yun W. Park & Doo Woan Bahng & Sae Woon Park, 2010. "Are Broker Quotes Too Optimistic? Korean Evidence," International Real Estate Review, Global Social Science Institute, vol. 13(1), pages 46-78.
    • Handle: RePEc:ire:issued:v:13:n:01:2010:p:46-78
    as

    Download full text from publisher

    File URL: https://www.gssinst.org/irer/wp-content/uploads/2020/10/vol-13-no1-are-broker-quotes-too-optimistic.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel Kahneman & Jack L. Knetsch & Richard H. Thaler, 1991. "Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 193-206, Winter.
    2. Jim Clayton & Norman Miller & Liang Peng, 2010. "Price-volume Correlation in the Housing Market: Causality and Co-movements," The Journal of Real Estate Finance and Economics, Springer, vol. 40(1), pages 14-40, January.
    3. Tsong‐Yue Lai & Ko Wang, 1998. "Appraisal Smoothing: The Other Side of the Story," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 26(3), pages 511-535, September.
    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. Philippe Fevrier & Sebastien Gay, 2005. "Informed Consent Versus Presumed Consent The Role of the Family in Organ Donations," HEW 0509007, University Library of Munich, Germany.
    2. Jose Apesteguia & Miguel Ballester, 2009. "A theory of reference-dependent behavior," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 40(3), pages 427-455, September.
    3. Insoo Cho & Peter F. Orazem, 2021. "How endogenous risk preferences and sample selection affect analysis of firm survival," Small Business Economics, Springer, vol. 56(4), pages 1309-1332, April.
    4. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    5. Daniel Agness & Travis Baseler & Sylvain Chassang & Pascaline Dupas & Erik Snowberg, 2022. "Valuing the Time of the Self-Employed," CESifo Working Paper Series 9567, CESifo.
    6. Chorvat, Terrence, 2006. "Taxing utility," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 35(1), pages 1-16, February.
    7. Lippens, Louis & Baert, Stijn & Derous, Eva, 2021. "Loss aversion in taste-based employee discrimination: Evidence from a choice experiment," Economics Letters, Elsevier, vol. 208(C).
    8. Keval Amin & Erica Harris, 2022. "The Effect of Investor Sentiment on Nonprofit Donations," Journal of Business Ethics, Springer, vol. 175(2), pages 427-450, January.
    9. Michael Ziegelmeyer & Julius Nick, 2013. "Backing out of private pension provision: lessons from Germany," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(3), pages 505-539, August.
    10. de Wit, Erik R. & Englund, Peter & Francke, Marc K., 2013. "Price and transaction volume in the Dutch housing market," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 220-241.
    11. Ji, Xinde & Cobourn, Kelly M. & Weng, Weizhe, 2018. "The Effect of Climate Change on Irrigated Agriculture: Water-Temperature Interactions and Adaptation in the Western U.S," 2018 Annual Meeting, August 5-7, Washington, D.C. 274306, Agricultural and Applied Economics Association.
    12. Salvatore Piccolo & Aldo Pignataro, 2016. "Consumer Loss Aversion, Product Experimentation and Implicit Collusion," CSEF Working Papers 457, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    13. Martin Hoesli & Colin Lizieri & Bryan MacGregor, 2008. "The Inflation Hedging Characteristics of US and UK Investments: A Multi-Factor Error Correction Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 36(2), pages 183-206, February.
    14. Darius Erlangga & Shehzad Ali & Karen Bloor, 2019. "The impact of public health insurance on healthcare utilisation in Indonesia: evidence from panel data," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(4), pages 603-613, May.
    15. Kallas, Z. & Gómez-Limón, J.A., 2007. "Valoración De La Multifuncionalidad Agraria: Una Aplicación A Través Del Método De Los Experimentos De Elección/Agricultural Multifunctionality Valuation: A Case Study Using The Choice Experiment," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 25, pages 107-144, Abril.
    16. Randall Holcombe, 2005. "Government growth in the twenty-first century," Public Choice, Springer, vol. 124(1), pages 95-114, July.
    17. Camille Magron & Maxime Merli, 2012. "Stocks repurchase and sophistication of individual investors," Working Papers of LaRGE Research Center 2012-02, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    18. Steven Andrew Culpepper & James Joseph Balamuta, 2017. "A Hierarchical Model for Accuracy and Choice on Standardized Tests," Psychometrika, Springer;The Psychometric Society, vol. 82(3), pages 820-845, September.
    19. Jidong Zhou, 2011. "Reference Dependence and Market Competition," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 20(4), pages 1073-1097, December.
    20. González, María P. & Scartascini, Carlos, 2023. "Increasing the Use of Telemedicine: A Field Experiment," IDB Publications (Working Papers) 12850, Inter-American Development Bank.

    More about this item

    Keywords

    Broker quotes; Broker quote based apartment price index; Repeat sales apartment price index; House price cycle; Broker sentiment; Korean housing markets;
    All these keywords.

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

    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:ire:issued:v:13:n:01:2010:p:46-78. 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: IRER Graduate Assistant/Webmaster (email available below). General contact details of provider: https://www.gssinst.org/gssinst/index.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.