Multiple Regimes and Volatility Transmission in Securitized Real Estate Markets

Posted: 27 Oct 2010

See all articles by Kim Hiang Liow

Kim Hiang Liow

National University of Singapore (NUS) - Department of Real Estate

Zhiwei Chen

affiliation not provided to SSRN

Date Written: October 26, 2010

Abstract

We examine the dynamics and transmission of conditional volatilities with multiple structural changes in return volatility using Bai and Perron (2003)'s methodology, across five major securitized real estate markets as well as employing a multivariate regime-dependent asymmetric dynamic covariance methodology (MRDADC) that allows the conditional matrix to be both time- and state-varying. Our results imply that a multiple-regime time varying asymmetric variance and covariance approach is important in modeling real estate securities valuation and selection and portfolio optimization, and is consistent with popular beliefs that market volatility changes over time. Our MRDADC models detect the presence of significant mean-volatility linkages across the five major securitized real estate markets under different volatility regimes and would have implications for global investor in terms of estimating a dynamic risk-minimizing hedge ratio in international portfolio management.

Keywords: Multiple structural breaks; Conditional volatility; Multivariate regime-dependent asymmetric dynamic covariance model; Securitized real estate markets; Dynamic risk-minimizing hedge ratio

Suggested Citation

Liow, Kim Hiang and Chen, Zhiwei, Multiple Regimes and Volatility Transmission in Securitized Real Estate Markets (October 26, 2010). Journal of Real Estate Finance and Economics, Vol. 42, No. 3, 2011. Available at SSRN: https://ssrn.com/abstract=1698244

Kim Hiang Liow (Contact Author)

National University of Singapore (NUS) - Department of Real Estate ( email )

4 Architecture Drive
Singapore 117566
Singapore
65-8743420 (Phone)
65-7748684 (Fax)

Zhiwei Chen

affiliation not provided to SSRN ( email )

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