The Joint Distributions of Japanese REIT and Equity Markets

Charles Shaw
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Abstract

We employ a little-used dataset to study the Japan's Real Estate Investment Trusts (REITs) market. We make use of copula theory and test for dependence between equity and REIT returns using several popular copula families. The copula families in our specification were: Gaussian, Student-t, Clayton, Frank, and Gumbel. The p-values were computed using parametric bootstrap replications. We motivate the argument presented, and provide the goodness-of-fit test results based on the Rosenblatt transform. We find that the dependence between the innovations of JREIT Composite and JREIT Office returns can be modelled by a Student-t copula with 2.7 degrees of freedom and correlation parameter v = 0.93. All other models are rejected. To the best of our knowledge, this study represents the first time that copula theory has been applied to study REITs in Japan.
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日本房地产投资信托基金与股票市场的共同分布
我们使用一个很少使用的数据集来研究日本的房地产投资信托基金(REITs)市场。我们利用联结理论,并使用几个流行的联结家族来检验股票和房地产投资信托基金收益之间的相关性。我们的规范中的联结家族是:高斯、Student-t、Clayton、Frank和Gumbel。p值是使用参数自举重复计算的。我们对所提出的论点进行了激励,并给出了基于Rosenblatt变换的拟合优度检验结果。我们发现,JREIT Composite的创新与JREIT Office收益之间的依赖关系可以用2.7自由度的Student-t耦合模型来建模,相关参数v = 0.93。所有其他模型都被拒绝了。据我们所知,本研究是首次将copula理论应用于日本REITs研究。
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