Journal
NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE
Volume 64, Issue -, Pages -Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.najef.2022.101840
Keywords
Conditional heteroscedasticity; COVID-19; Geographical diversification; Vector autoregression (VAR); Vector error correction model (VECM)
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This paper investigates the dynamic interdependence between geographically non-overlapping Japanese real estate investment trusts (J-REITs) in terms of their stock returns, considering property type and market returns. The study finds significant impacts of central J-REITs on local J-REITs in conditional mean, indicating potential arbitrage opportunities. After the COVID-19 crisis, the central-to-local impacts have become stronger for all property types, suggesting that portfolio diversification is harder to achieve during turmoil.
This paper investigates the dynamic interdependence between the stock returns of geographi-cally non-overlapping Japanese real estate investment trusts (J-REITs), where the property type and a market return are controlled. We take a multivariate time series approach, allowing for conditional heteroscedasticity of unknown form. We find significant impacts of central J-REITs on local J-REITs in conditional mean, a potential signal of arbitrage opportunities. After the COVID-19 crisis, the central-to-local impacts have become stronger for all property types considered: office, residential, and hotel. This empirical result is consistent with the consensus that portfolio diversification is harder to achieve during a period of turmoil.
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