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Trading Volume and Price Dispersion in Housing Markets

Author

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  • C. Y. Yiu
  • K. F. Man
  • S. K. Wong

Abstract

The positive volume‐price (return) relationship has been intensively studied and confirmed in both financial and real estate markets, yet their theoretic models offered few direct empirical support. This paper puts forward a liquidity premium model which explains the volume‐price (return) relationship by the volume‐price dispersion relationship. We posit that the extent of price dispersion depends on the level of price information available in the market (measured by the volume of past comparable transactions). The model is tested empirically in two sample periods on the transactions of housing units of an estate in Hong Kong from February 1992 to September 2000 (11,267 transactions), and from May 1991 to May 2008 (18,368 transactions), respectively. The results support our theoretical prediction that the magnitude of price dispersion, as measured by the residuals of a hedonic pricing model, is negatively and significantly related with the volume of transactions in the past 10‐day and 30‐day period windows. It implies that an increase in liquidity reduces pricing error risk, which in turn reduces the required risk premium in buyers' offering price, and thus a positive volume‐price (return) relationship.

Suggested Citation

  • C. Y. Yiu & K. F. Man & S. K. Wong, 2008. "Trading Volume and Price Dispersion in Housing Markets," Journal of Property Research, Taylor & Francis Journals, vol. 25(3), pages 203-219, December.
    • Handle: RePEc:taf:jpropr:v:25:y:2008:i:3:p:203-219
    DOI: 10.1080/09599910802696615
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    1. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    2. Tauchen, George & Hussey, Robert, 1991. "Quadrature-Based Methods for Obtaining Approximate Solutions to Nonlinear Asset Pricing Models," Econometrica, Econometric Society, vol. 59(2), pages 371-396, March.
    3. M. Fletcher & P. Gallimore & J. Mangan, 2000. "Heteroscedasticity in hedonic house price models," Journal of Property Research, Taylor & Francis Journals, vol. 17(2), pages 93-108, January.
    4. Reinganum, Jennifer F, 1982. "Strategic Search Theory," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 23(1), pages 1-17, February.
    5. Epps, Thomas W & Epps, Mary Lee, 1976. "The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-Distributions Hypothesis," Econometrica, Econometric Society, vol. 44(2), pages 305-321, March.
    6. Jeffrey Fisher & Dean Gatzlaff & David Geltner & Donald Haurin, 2004. "An Analysis of the Determinants of Transaction Frequency of Institutional Commercial Real Estate Investment Property," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(2), pages 239-264, June.
    7. David Genesove & Christopher Mayer, 2001. "Loss Aversion and Seller Behavior: Evidence from the Housing Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1233-1260.
    8. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    9. Charles Leung & Youngman Leong & Siu Wong, 2006. "Housing Price Dispersion: An Empirical Investigation," The Journal of Real Estate Finance and Economics, Springer, vol. 32(3), pages 357-385, May.
    10. Charles Leung & Dandan Feng, 2005. "What Drives the Property Price-Trading Volume Correlation? Evidence from a Commercial Real Estate Market," The Journal of Real Estate Finance and Economics, Springer, vol. 31(2), pages 241-255, September.
    11. Burdett, Kenneth & Judd, Kenneth L, 1983. "Equilibrium Price Dispersion," Econometrica, Econometric Society, vol. 51(4), pages 955-969, July.
    12. Garbade, Kenneth D & Silber, William L, 1976. "Price Dispersion in the Government Securities Market," Journal of Political Economy, University of Chicago Press, vol. 84(4), pages 721-740, August.
    13. Suominen, Matti, 2001. "Trading Volume and Information Revelation in Stock Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 545-565, December.
    14. Wheaton, William C, 1990. "Vacancy, Search, and Prices in a Housing Market Matching Model," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1270-1292, December.
    15. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
    16. Jeremy C. Stein, 1995. "Prices and Trading Volume in the Housing Market: A Model with Down-Payment Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 379-406.
    17. Allen C. Goodman & Thomas G. Thibodeau, 1998. "Dwelling Age Heteroskedasticity in Repeat Sales House Price Equations," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 26(1), pages 151-171, March.
    18. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    19. Louis L. Wilde & Alan Schwartz, 1979. "Equilibrium Comparison Shopping," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 46(3), pages 543-553.
    20. Blume, Lawrence & Easley, David & O'Hara, Maureen, 1994. "Market Statistics and Technical Analysis: The Role of Volume," Journal of Finance, American Finance Association, vol. 49(1), pages 153-181, March.
    21. Barron, John M. & Taylor, Beck A. & Umbeck, John R., 2004. "Number of sellers, average prices, and price dispersion," International Journal of Industrial Organization, Elsevier, vol. 22(8-9), pages 1041-1066, November.
    22. James A. Berkovec & John L. Goodman, 1996. "Turnover as a Measure of Demand for Existing Homes," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 24(4), pages 421-440, December.
    23. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," The Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
    24. Quan, Daniel C & Quigley, John M, 1991. "Price Formation and the Appraisal Function in Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 4(2), pages 127-146, June.
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    Cited by:

    1. Gao Lu Zou & Kwong Wing Chau, 2015. "Determinants and Sustainability of House Prices: The Case of Shanghai, China," Sustainability, MDPI, vol. 7(4), pages 1-25, April.
    2. Tsai, I-Chun & Peng, Chien-Wen, 2016. "Linear and nonlinear dynamic relationships between housing prices and trading volumes," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 172-184.
    3. Xian Zheng, 2015. "Expectation, volatility and liquidity in the housing market," Applied Economics, Taylor & Francis Journals, vol. 47(37), pages 4020-4035, August.
    4. Sutirtha Bagchi, 2018. "A Tale of Two Cities: An Examination of Medallion Prices in New York and Chicago," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 53(2), pages 295-319, September.
    5. 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.
    6. Lisi, Gaetano, 2011. "Price dispersion in the housing market: the role of bargaining and search costs," MPRA Paper 33863, University Library of Munich, Germany.
    7. Tsai, I-Chun, 2019. "Dynamic price–volume causality in the American housing market: A signal of market conditions," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 385-400.
    8. Gaetano Lisi, 2011. "Price Dispersion in the Housing Market: The Role of Bargaining and Search Costs," Working Papers hal-00628323, HAL.
    9. repec:cte:werepe:28874 is not listed on IDEAS
    10. Deng, Kuang Kuang & Wong, Siu Kei & Cheung, Ka Shing & Tse, Kwok Sang, 2022. "Do real estate investors trade on momentum?," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).

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