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Residential Real Estate, Risk, Return and Diversification: Some Empirical Evidence

机译:住宅房地产,风险,回报和多元化:一些经验证据

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This paper outlines and applies a methodology for estimating and examining the variation in risk and return for individual homes. This is important because most households own individual properties and the risk and return profile of each of these may differ. We use large data sets of home prices and rents for Sydney, Australia, from 2002-16, and estimate flexible smoothing spline hedonic models. These models are used to construct total returnsthe sum of capital gains and the rental yield net of costsfor the homes in our data. We find that Sydney homes had, on average, both higher returns than shares and much lower risk. This gave them a far superior Sharpe ratio. Moreover, while we find that shares benefit to a greater extent from diversification than homes, the Sharpe ratio of a large portfolio of shares was still well below that of the average single home. Interestingly, we find that much of the variation in risk and return across properties can be explained by observable home characteristics. In particular houses had stronger returns than did apartments.
机译:本文概述并应用了一种方法来估计和检查单个房屋的风险和收益变化。这很重要,因为大多数家庭拥有各自的财产,并且每个家庭的风险和收益状况可能有所不同。我们使用2002-16年度澳大利亚悉尼的房价和租金的大型数据集,并估算灵活的平滑样条享乐模型。这些模型用于构建总收益,即我们数据中的资本收益和租金收益(扣除房屋成本)之和。我们发现,悉尼房屋的平均收益率要高于股票收益率,风险要低得多。这使他们的夏普比率更高。此外,虽然我们发现股票从多样化中受益的程度比住房更大,但大型股票投资组合的夏普比率仍远低于平均单一住房的夏普比率。有趣的是,我们发现可观察到的房屋特征可以解释许多财产风险和收益的变化。特别是,房屋的收益要比公寓高。

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