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Nowhere to hide: an analysis of investment opportunities in listed property markets during financial market crises

机译:无处可藏:金融市场危机期间上市房地产市场的投资机会分析

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The effects of financial crises in listed property markets have left investors looking for safe havens through diversification. This is the largest study to date of the effect of crises on diversification opportunities in the listed property context, spanning 12 markets. Our study covers the Asian market crisis and the current global credit crisis. A critical contribution our work makes is the inclusion in our modelling of the potential for currency effects to impact the diversification environment. We observed that diversification benefits evaporated during the crisis in both hedged and un-hedged cases. Perhaps a surprising result given the magnitude of the currency effects experienced during the Asian crisis. Interestingly, although diversification benefits vanish during the crisis in both hedged and un-hedged cases, the markets that are significant in the model differ between the two cases. The methodology we have employed represents a very flexible, dynamic, and realistic modelling approach to the data at hand. Our implementation uses a specific class of Vector Autoregression (VAR) models (Zero-Non-Zero coefficient VAR models) that have a particular advantage in dealing with data for which we believe that certain coefficients should automatically be zero (as a result of structural features of the markets involved), and our approach is a 'full system' approach that allows for cointegration between markets.
机译:上市房地产市场金融危机的影响使投资者通过多元化寻求避风港。这是迄今为止,在列出的房地产背景下,危机对多元化机会影响的最大规模研究,涉及12个市场。我们的研究涵盖了亚洲市场危机和当前的全球信贷危机。我们的工作做出的关键贡献是在我们的模型中包括了货币效应可能影响多元化环境的潜力。我们观察到,在对冲和非对冲案例中,多元化收益在危机期间都消失了。考虑到亚洲危机期间所经历的货币影响的巨大程度,这一结果也许令人惊讶。有趣的是,尽管在对冲和非对冲案例中多元化收益在危机期间都消失了,但模型中重要的市场在两种案例之间是不同的。我们采用的方法代表了一种非常灵活,动态和现实的手头数据建模方法。我们的实现使用特定类别的向量自回归(VAR)模型(零-非零系数VAR模型),该模型在处理数据时具有特殊优势,我们认为某些数据应自动为零(由于结构特征)涉及的市场),而我们的方法是“完整系统”方法,可实现市场之间的整合。

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