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Modelling Long Memory in REITs

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  • John Cotter

    (University College Dublin, Ireland)

Abstract

One stylized feature of financial volatility impacting the modeling process is long memory. This paper examines long memory for alternative risk measures, observed absolute and squared returns for Daily REITs and compares the findings for a non- REIT equity index. The paper utilizes a variety of tests for long memory finding evidence that REIT volatility does display persistence, in contrast to the actual return series. Trading volume is found to be strongly associated with long memory. The results do however suggest differences in the findings with regard to REITs in comparison to the broader equity sector which may be due to relatively thin trading during the sample period.

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Bibliographic Info

Paper provided by Geary Institute, University College Dublin in its series Working Papers with number 200614.

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Length: 31 pages
Date of creation: 24 Jun 2011
Date of revision:
Handle: RePEc:ucd:wpaper:2006/14

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Keywords: Long Memory; FGARCH; REITs;

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References

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Citations

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Cited by:
  1. James Chong & Alexandra Krystalogianni & Simon Stevenson, 2012. "Dynamic correlations between REIT sub-sectors and the implications for diversification," Applied Financial Economics, Taylor & Francis Journals, vol. 22(13), pages 1089-1109, July.
  2. Sanjay Rajagopal & Patrick Hays, 2012. "Return Persistence in the Indian Real Estate Market," International Real Estate Review, Asian Real Estate Society, vol. 15(3), pages 283-305.
  3. Jian Zhou & Zhixin Kang, 2011. "A Comparison of Alternative Forecast Models of REIT Volatility," The Journal of Real Estate Finance and Economics, Springer, vol. 42(3), pages 275-294, April.
  4. Pisun Xu & Jian Yang, 2011. "U.S. Monetary Policy Surprises and International Securitized Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 43(4), pages 459-490, November.
  5. John Cotter & Richard Roll, 2010. "A Comparative Anatomy of REITs and Residential Real Estate Indexes: Returns, Risks and Distributional Characteristics," Working Papers 201008, Geary Institute, University College Dublin.
  6. Chen, Shyh-Wei & Shen, Chung-Hua, 2012. "Examining the stochastic behavior of REIT returns: Evidence from the regime switching approach," Economic Modelling, Elsevier, vol. 29(2), pages 291-298.
  7. Jian Zhou & Randy Anderson, 2013. "An Empirical Investigation of Herding Behavior in the U.S. REIT Market," The Journal of Real Estate Finance and Economics, Springer, vol. 47(1), pages 83-108, July.
  8. James Chong & Alexandra Krystalogianni & Simon Stevenson, . "Dynamic Correlations across REIT Sub-Sectors," Real Estate & Planning Working Papers rep-wp2011-07, Henley Business School, Reading University.
  9. Chyi Lee & Simon Stevenson & Ming-Long Lee, 2014. "Futures Trading, Spot Price Volatility and Market Efficiency: Evidence from European Real Estate Securities Futures," The Journal of Real Estate Finance and Economics, Springer, vol. 48(2), pages 299-322, February.

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