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Multivariate Modeling of Daily REIT Volatility

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  • John Cotter

    ()

  • Simon Stevenson

    ()

Abstract

This paper examines volatility in REITs using a multivariate GARCH based model. The Multivariate VAR–GARCH technique documents the return and volatility linkages between REIT sub-sectors and also examines the influence of other US equity series. The motivation is for investors to incorporate time-varyng volatility and correlations in their portfolio selection. The results illustrate the differences in results when higher frequency daily data is tested in comparison to the monthly data that has been commonly used in the existing literature. The linkages both within the REIT sector and between REITs and related sectors such as value stocks are weaker than commonly found in monthly studies. The broad market would appear to be more influential in the daily case. Copyright Springer Science + Business Media, Inc. 2006

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File URL: http://hdl.handle.net/10.1007/s11146-006-6804-9
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Bibliographic Info

Article provided by Springer in its journal The Journal of Real Estate Finance and Economics.

Volume (Year): 32 (2006)
Issue (Month): 3 (May)
Pages: 305-325

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Handle: RePEc:kap:jrefec:v:32:y:2006:i:3:p:305-325

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Web page: http://www.springerlink.com/link.asp?id=102945

Related research

Keywords: Multivariate GARCH; Volatility modelling; REITS;

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References

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