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Housing prices and transaction volume

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  • Akkoyun, H. Cagri
  • Arslan, Yavuz
  • Kanik, Birol

Abstract

We use annual, quarterly and monthly data from the US to show that the correlation between housing prices and transaction volume (number of existing houses sold) differs across different frequencies. While the correlation is high at the low frequencies it declines to the levels close to zero at high frequencies. Granger causality tests for different frequencies show that the way of causality in housing market changes from region to region. Our findings provide a litmus test for the existing theories that are proposed to explain the positive correlation between transaction volume and housing prices.

Suggested Citation

  • Akkoyun, H. Cagri & Arslan, Yavuz & Kanik, Birol, 2013. "Housing prices and transaction volume," Journal of Housing Economics, Elsevier, vol. 22(2), pages 119-134.
    • Handle: RePEc:eee:jhouse:v:22:y:2013:i:2:p:119-134
    DOI: 10.1016/j.jhe.2013.02.001
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    Citations

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    Cited by:

    1. 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.
    2. MeiChi Huang, 2019. "A Nationwide or Localized Housing Crisis? Evidence from Structural Instability in US Housing Price and Volume Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1547-1563, April.
    3. Kwabena Mintah & Woon-Weng Wong & Peng Yew Wong, 2020. "Cross Border Real Estate Investments and Commercial Office Property Market Performance: Evidence from Australia," International Real Estate Review, Global Social Science Institute, vol. 23(2), pages 211-234.
    4. Arslan, Yavuz & Kanık, Birol & Köksal, Bülent, 2015. "Anticipated vs. unanticipated house price movements and transaction volume," Journal of Housing Economics, Elsevier, vol. 28(C), pages 121-129.
    5. Kwabena Mintah & Woon-Weng Wong & Peng Yew Wong, 2020. "Cross Border Real Estate Investments and Commercial Office Property Market Performance: Evidence from Australia," International Real Estate Review, Asian Real Estate Society, vol. 23(2), pages 837-860.
    6. Li, Yuming, 2015. "The asymmetric house price dynamics: Evidence from the California market," Regional Science and Urban Economics, Elsevier, vol. 52(C), pages 1-12.
    7. Nagayasu, Jun, 2016. "Inflation and Bubbles in the Japanese Condominium Market," MPRA Paper 71192, University Library of Munich, Germany.
    8. James E. Payne & Xiaojin Sun, 2023. "Time‐varying connectedness of metropolitan housing markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(2), pages 470-502, March.
    9. Li Xiangfei & Han Hongli & Sun Minghan, 2020. "Localized or Regional? Urban Housing Policy Spillover in China’s Urban Agglomerations 2010–2018," Journal of Systems Science and Information, De Gruyter, vol. 8(4), pages 325-345, August.

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    More about this item

    Keywords

    Housing prices; Transaction volume; Dynamic correlation; Low frequency; High frequency;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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