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Can volume be more informative than prices? Evidence from Chinese housing markets

Author

Listed:
  • Jian Yang

    (University of Colorado Denver)

  • Meng Tong

    (University of Chester)

  • Ziliang Yu

    (Nankai University)

Abstract

This paper examines pairwise intercity price–volume dynamics in China using novel daily transaction price and volume dataset from 32 Chinese cities. Despite geographical disparity and time variations, the volume–volume dynamic relationship plays a noticeably more significant role than price–price or price–volume relationships, suggesting that volume may be more informative than prices in China’s pairwise intercity housing market spillovers. We further propose a new spillover/connectedness measure to summarize both price and volume information and better measure such spillovers. We find that the new measure can be significantly explained by economic fundamentals, which attests to the soundness of the basic finding.

Suggested Citation

  • Jian Yang & Meng Tong & Ziliang Yu, 2023. "Can volume be more informative than prices? Evidence from Chinese housing markets," Review of Quantitative Finance and Accounting, Springer, vol. 61(2), pages 633-672, August.
  • Handle: RePEc:kap:rqfnac:v:61:y:2023:i:2:d:10.1007_s11156-023-01161-4
    DOI: 10.1007/s11156-023-01161-4
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    1. Badarinza, Cristian & Ramadorai, Tarun, 2018. "Home away from home? Foreign demand and London house prices," Journal of Financial Economics, Elsevier, vol. 130(3), pages 532-555.
    2. Joseph P. Romano & Michael Wolf, 2005. "Stepwise Multiple Testing as Formalized Data Snooping," Econometrica, Econometric Society, vol. 73(4), pages 1237-1282, July.
    3. Hanming Fang & Quanlin Gu & Wei Xiong & Li-An Zhou, 2016. "Demystifying the Chinese Housing Boom," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 105-166.
    4. Edward E. Leamer, 2007. "Housing is the business cycle," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 149-233.
    5. Zhan Xu & Qingbin Meng & Song Wang, 2022. "The effect of housing boom on firm leverage evidence from China," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 1215-1248, April.
    6. Tim Bollerslev & Andrew J. Patton & Wenjing Wang, 2016. "Daily House Price Indices: Construction, Modeling, and Longer‐run Predictions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 1005-1025, September.
    7. Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
    8. Monika Piazzesi & Martin Schneider & Johannes Stroebel, 2020. "Segmented Housing Search," American Economic Review, American Economic Association, vol. 110(3), pages 720-759, March.
    9. 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.
    10. Bessembinder, Hendrik & Chan, Kalok & Seguin, Paul J., 1996. "An empirical examination of information, differences of opinion, and trading activity," Journal of Financial Economics, Elsevier, vol. 40(1), pages 105-134, January.
    11. Charles K. Y. Leung & Garion C. K. Lau & Youngman C. F. Leong, 2002. "Testing Alternative Theories of the Property Price-Trading Volume Correlation," Journal of Real Estate Research, American Real Estate Society, vol. 23(3), pages 253-264.
    12. Newey, Whitney K & West, Kenneth D, 1987. "Hypothesis Testing with Efficient Method of Moments Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 28(3), pages 777-787, October.
    13. Yang, Jian & Yu, Ziliang & Deng, Yongheng, 2018. "Housing price spillovers in China: A high-dimensional generalized VAR approach," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 98-114.
    14. 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.
    15. Yang, Jian & Tong, Meng & Yu, Ziliang, 2021. "Housing market spillovers through the lens of transaction volume: A new spillover index approach," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 351-378.
    16. Fernando Ferreira & Joseph Gyourko, 2012. "Heterogeneity in Neighborhood-Level Price Growth in the United States, 1993-2009," American Economic Review, American Economic Association, vol. 102(3), pages 134-140, May.
    17. 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.
    18. Bing Han & Lu Han & Guozhong Zhu, 2018. "Housing Price And Fundamentals In A Transition Economy: The Case Of The Beijing Market," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(3), pages 1653-1677, August.
    19. Bing Zhu & Roland Füss & Nico B. Rottke, 2013. "Spatial Linkages in Returns and Volatilities among U.S. Regional Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 41(1), pages 29-64, March.
    20. Monika Piazzesi & Martin Schneider, 2009. "Momentum Traders in the Housing Market: Survey Evidence and a Search Model," American Economic Review, American Economic Association, vol. 99(2), pages 406-411, May.
    21. 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.
    22. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-137, March.
    23. Bai, Jushan, 2010. "Common breaks in means and variances for panel data," Journal of Econometrics, Elsevier, vol. 157(1), pages 78-92, July.
    24. Lo, Andrew W & Wang, Jiang, 2000. "Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory," The Review of Financial Studies, Society for Financial Studies, vol. 13(2), pages 257-300.
    25. Norman Miller & Liang Peng, 2006. "Exploring Metropolitan Housing Price Volatility," The Journal of Real Estate Finance and Economics, Springer, vol. 33(1), pages 5-18, August.
    26. Halling, Michael & Moulton, Pamela C. & Panayides, Marios, 2013. "Volume Dynamics and Multimarket Trading," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(2), pages 489-518, April.
    27. Du, Zaichao & Zhang, Lin, 2015. "Home-purchase restriction, property tax and housing price in China: A counterfactual analysis," Journal of Econometrics, Elsevier, vol. 188(2), pages 558-568.
    28. DeFusco, Anthony A. & Nathanson, Charles G. & Zwick, Eric, 2022. "Speculative dynamics of prices and volume," Journal of Financial Economics, Elsevier, vol. 146(1), pages 205-229.
    29. Gong, Yunlong & Hu, Jinxing & Boelhouwer, Peter J., 2016. "Spatial interrelations of Chinese housing markets: Spatial causality, convergence and diffusion," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 103-117.
    30. 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.
    31. Qingjing Zhang & Taufiq Choudhry & Jing-Ming Kuo & Xiaoquan Liu, 2021. "Does liquidity drive stock market returns? The role of investor risk aversion," Review of Quantitative Finance and Accounting, Springer, vol. 57(3), pages 929-958, October.
    32. Martin Schneider & Monika Piazzesi, 2009. "Momentum traders in a search model of the housing market," 2009 Meeting Papers 1266, Society for Economic Dynamics.
    33. 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.
    34. EnDer Su, 2021. "Testing stock market contagion properties between large and small stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 147-202, July.
    35. Hurn, Stan & Shi, Shuping & Wang, Ben, 2022. "Housing networks and driving forces," Journal of Banking & Finance, Elsevier, vol. 134(C).
    36. Jian Yang & Yinggang Zhou, 2013. "Credit Risk Spillovers Among Financial Institutions Around the Global Credit Crisis: Firm-Level Evidence," Management Science, INFORMS, vol. 59(10), pages 2343-2359, October.
    37. John Y. Campbell & Stefano Giglio & Parag Pathak, 2011. "Forced Sales and House Prices," American Economic Review, American Economic Association, vol. 101(5), pages 2108-2131, August.
    38. 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.
    39. Keating, John W., 2000. "Macroeconomic Modeling with Asymmetric Vector Autoregressions," Journal of Macroeconomics, Elsevier, vol. 22(1), pages 1-28, January.
    40. Hsiao, Cheng, 1981. "Autoregressive modelling and money-income causality detection," Journal of Monetary Economics, Elsevier, vol. 7(1), pages 85-106.
    41. Linda Smith Bamber & Orie E. Barron & Douglas E. Stevens, 2011. "Trading Volume Around Earnings Announcements and Other Financial Reports: Theory, Research Design, Empirical Evidence, and Directions for Future Research," Contemporary Accounting Research, John Wiley & Sons, vol. 28(2), pages 431-471, June.
    42. Chen, Shiu-Sheng, 2012. "Revisiting the empirical linkages between stock returns and trading volume," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1781-1788.
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    More about this item

    Keywords

    Housing markets; Volume; Daily data; Connectedness; Spillover index;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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