Regime dependent volatilities and correlation in international securitized real estate markets

Kim Liow and Qing Ye ()
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Qing Ye: National University of Singapore

Empirica, 2018, vol. 45, issue 3, No 2, 457-487

Abstract: Abstract This paper studies the role of regime shifts and time-varying volatilities in market integration in a Markov-switching volatility regime environment among the US, European and Asian developed securitized real estate markets. With a two-state volatility model, the study finds the co-dependence, co-movement and synchronization of volatility regime at the high volatility state are stronger between the US and European securitized real estate markets. Although correlations among the markets are higher in a high volatility regime than in a low volatility regime, there is limited evidence of contagious effects during the high volatility periods between some markets. Moreover, the unsecuritized real estate markets are different from their securitized equivalent in the volatility regime characteristics, correlation pattern and level, as well as the extent of correlation change and contagion effect in high volatility state. Thus, the regime-switching results from stock markets may not be automatically extended to the corresponding public real estate markets, and requires rigorous empirical scrutiny.

Keywords: Volatility regimes; Cross-market correlations; Securitized real estate markets; Bivariate SWARCH model; Markov-switching vector autoregressive model (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10663-017-9368-4

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