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Persistence in the return and volatility of home price indices

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  • John Elder
  • Sriram Villupuram

Abstract

We examine the return and volatility of the Standard & Poor's/Case--Shiller (S&P/CS) real estate indices for evidence of long memory in the form of fractional differencing. Examining the long memory properties of these indices is relevant, in part, because effectively hedging real estate price risk through the construction of minimum variance dynamic hedge ratios requires proper modelling of long memory dynamics, and evidence of long memory would imply a violation of weak form efficiency. We find evidence of very persistent long memory in both the return and volatility of real estate indices. For real estate index returns, the evidence of persistent long memory contrasts sharply with other asset classes such as stocks, bonds and commodities. The evidence of long memory in real estate return volatility is in accordance with the volatility dynamics in other asset classes, although the degree of persistence is greater. We also find that some evidence of greater persistence may be due to nonlinearities in the underlying data generating process.

Suggested Citation

  • John Elder & Sriram Villupuram, 2012. "Persistence in the return and volatility of home price indices," Applied Financial Economics, Taylor & Francis Journals, vol. 22(22), pages 1855-1868, November.
  • Handle: RePEc:taf:apfiec:v:22:y:2012:i:22:p:1855-1868
    DOI: 10.1080/09603107.2012.687095
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    Cited by:

    1. Ezzat, Hassan, 2013. "Long Memory Processes and Structural Breaks in Stock Returns and Volatility: Evidence from the Egyptian Exchange," MPRA Paper 51465, University Library of Munich, Germany.
    2. Al-Shboul, Mohammad & Anwar, Sajid, 2016. "Fractional integration in daily stock market indices at Jordan's Amman stock exchange," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 16-37.
    3. Patrick Krieger & Carsten Lausberg & Kristin Wellner, 2018. "Einblicke in die Gründe für nicht-normalverteilte Immobilienrenditen: eine explorative Untersuchung deutscher Wohnimmobilienportfolios [Insights into the reasons for non-normal real estate returns:," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 4(1), pages 49-79, November.
    4. Mawuli Segnon & Rangan Gupta & Keagile Lesame & Mark E. Wohar, 2021. "High-Frequency Volatility Forecasting of US Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 62(2), pages 283-317, February.
    5. Nicholas Apergis & James E. Payne, 2020. "Modeling the time varying volatility of housing returns: Further evidence from the U.S. metropolitan condominium markets," Review of Financial Economics, John Wiley & Sons, vol. 38(1), pages 24-33, January.

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