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Time series behavior of average dynamic conditional correlations in European real estate securities markets An empirical exploration

Time series behavior of average dynamic conditional correlations in European real estate... Purpose – The purpose of this paper is to investigate the time series behavior of co‐movements among 11 European real estate securities markets, with each other as well as between country‐averages, over the sample period from January 1999 to January 2010 by utilizing the asymmetric dynamic conditional correlation (ADCC) technique, long‐memory tests and multiple structural break methodology. Design/methodology/approach – First the ADCC from the multivariate GJR‐GARCH model is used to estimate the pair‐wise conditional correlations between the 11 securitized real estate markets. Then, the 11 country‐average conditional correlation series is subject to a battery of four long‐memory tests to form an “on the balance of evidence” picture; the semi‐parametric Geweke and Porter‐Hudak procedure and Robinson test, as well as the non‐parametric Hurst‐Mandelbrot R/S and Lo's modified R/S tests. Finally, the Bai and Perron's multiple structural break methodology seeks to test whether the average conditional correlations are subject to regime switching via the detection of breaks in the co‐movements of real estate securities returns. Findings – Low to moderate conditional correlations are found for these European real estate securities market and a higher level of correlation in the aftermath of the global financial crisis. The long‐memory correlation effect is present for nine European real estate securities markets. In addition, the conditional correlations are subject to regime switching with two structural breaks in four country‐average correlation series. Across the regimes, a higher level of correlation is linked to a higher level of volatility and a lower level of return, and this happened around the global financial crisis period. Research limitations/implications – The findings that national real estate securities correlations exhibit time‐varying and asymmetric behavior can help investors understand how real estate securities will co‐move in different market scenarios (e.g. “crisis” and “non‐crisis” times). Moreover, the process of dynamic covariance analysis and forecasting (the ultimate objective in portfolio management) should not rely too much on short‐term autoregressive moving average models. Instead, a combination of some appropriate long‐range dependence models and regime‐switching specifications is needed. Originality/value – This paper offers useful insights into the time series behavior of average dynamic conditional correlations in European public property markets. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of European Real Estate Research Emerald Publishing

Time series behavior of average dynamic conditional correlations in European real estate securities markets An empirical exploration

Kim Hiang Liow
Journal of European Real Estate Research , Volume 4 (2): 21 – Aug 9, 2011
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Publisher
Emerald Publishing
Copyright
Copyright © 2011 Emerald Group Publishing Limited. All rights reserved.
ISSN
1753-9269
DOI
10.1108/17539261111157280
Publisher site
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Abstract

Purpose – The purpose of this paper is to investigate the time series behavior of co‐movements among 11 European real estate securities markets, with each other as well as between country‐averages, over the sample period from January 1999 to January 2010 by utilizing the asymmetric dynamic conditional correlation (ADCC) technique, long‐memory tests and multiple structural break methodology. Design/methodology/approach – First the ADCC from the multivariate GJR‐GARCH model is used to estimate the pair‐wise conditional correlations between the 11 securitized real estate markets. Then, the 11 country‐average conditional correlation series is subject to a battery of four long‐memory tests to form an “on the balance of evidence” picture; the semi‐parametric Geweke and Porter‐Hudak procedure and Robinson test, as well as the non‐parametric Hurst‐Mandelbrot R/S and Lo's modified R/S tests. Finally, the Bai and Perron's multiple structural break methodology seeks to test whether the average conditional correlations are subject to regime switching via the detection of breaks in the co‐movements of real estate securities returns. Findings – Low to moderate conditional correlations are found for these European real estate securities market and a higher level of correlation in the aftermath of the global financial crisis. The long‐memory correlation effect is present for nine European real estate securities markets. In addition, the conditional correlations are subject to regime switching with two structural breaks in four country‐average correlation series. Across the regimes, a higher level of correlation is linked to a higher level of volatility and a lower level of return, and this happened around the global financial crisis period. Research limitations/implications – The findings that national real estate securities correlations exhibit time‐varying and asymmetric behavior can help investors understand how real estate securities will co‐move in different market scenarios (e.g. “crisis” and “non‐crisis” times). Moreover, the process of dynamic covariance analysis and forecasting (the ultimate objective in portfolio management) should not rely too much on short‐term autoregressive moving average models. Instead, a combination of some appropriate long‐range dependence models and regime‐switching specifications is needed. Originality/value – This paper offers useful insights into the time series behavior of average dynamic conditional correlations in European public property markets.

Journal

Journal of European Real Estate Research – Emerald Publishing

Published: Aug 9, 2011

Keywords: Asymmetric dynamic conditional correlations; Long memory process; Multiple regime changes; Europe; Real estate; Securities markets

References

  • The fractal structure of real estate investment trust returns: the search for evidence of market segmentation and nonlinear dependency
    Ambrose, B.W.; Ancel, E.; Griffiths, M.D.
  • Estimating and testing linear models with multiple structural changes
    Bai, J.; Perron, P.
  • Computation and analysis of multiple structural change models
    Bai, J.; Perron, P.
  • Statistics for Long‐memory Processes
    Beran, J.
  • Asymmetric dynamics in the correlations of the global equity and bond market
    Cappiello, L.; Engle, R.; Sheppard, K.
  • Time‐varying risk premia for real estate investment trusts: a GARCH‐M model
    Devaney, M.
  • Dynamic conditional correlation – a simple class of multivariate GARCH models
    Engle, R.F.
  • Measuring and testing the impact of news on volatility
    Engle, R.F.; Ng, V
  • Forecasting international equity correlations
    Erb, C.B.; Harvey, C.R.; Viskanta, T.E.
  • No contagion, only interdependence: measuring stock market co‐movements
    Forbes, K.; Rigobon, R.
  • The estimation and application of long memory time series models
    Geweke, J.; Porter‐Hudak, S.
  • Volatility, time‐varying correlation and international portfolios diversification: an empirical study of Australia and emerging markets
    Gupta, R.; Mollik, A.T.
  • Correlation dynamics in European equity markets
    Kearney, C.; Poti, V.
  • Random walk and market efficiency: evidence from international real estate markets
    Kleiman, R.T.; Payne, J.E.; Sahu, A.P.
  • Correlation risk
    Krishan, C.; Petkova, R.; Ritchken, P.
  • Modeling asymmetric co‐movements of asset returns
    Kroner, K.F.; Ng, V.K.
  • Long‐term memory in volatility: some evidence from international securitized real estate market
    Liow, K.H.
  • Co‐movements and correlations across Asian securitized real estate and stock markets
    Liow, K.H.
  • Long‐term co‐memories and short‐run adjustment: securitized real estate and stock markets
    Liow, K.H.; Yang, H.
  • Multiple regimes and volatility transmission in securitized real estate market
    Liow, K.H.; Chen, Z.; Liu, J.
  • Correlation and volatility dynamics in international real estate securities markets
    Liow, K.H.; Ho, K.H.; Ibrahim, M.F.; Chen, Z.
  • Long term memory in stock market prices
    Lo, A.W.
  • Is the correlation in international equity returns constant: 1960‐1990?
    Longin, F.; Solnik, B.
  • Using nonlinear tests to examine integration between real estate and stock markets
    Okunev, J.; Wilson, P.J.
  • The causal relationship between real estate and stock markets
    Okunev, J.; Wilson, P.J.; Zurbruegg, R.
  • Gaussian semi‐parametric estimation of long range dependence
    Robinson, P.M.
  • Momentum effects and mean reversion in real estate securities
    Stevenson, S.
  • Dynamic correlations and volatility effects in the Balkan equity markets
    Syriopoulos, T.; Roumpis, E.
  • Stock market integration for the transition economies: time‐varying conditional correlation approach
    Wang, P.; Moore, T.
  • European public real estate market integration
    Yang, J.; Kolari, J.; Zhu, G.
  • A DCC analysis of international stock market correlations: the role of Japan on the Asian four tigers
    Yang, S.
  • Further evidence on the great crash, the oil price shock, and the unit‐root hypothesis
    Zivot, E.; Andrews, D.W.K.