Housing Yields

Stefano Colonnello, Roberto Marfè, Qizhou Xiong
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引用次数: 3

Abstract

This paper investigates heterogeneity in residential property yields using rental and sale listings from the largest German internet real estate platform. Equipped with property-level rent-to-price ratios obtained via matching properties for sale and for rent, we show that they strongly co-move with local factors, such as population age structure, industry structure, housing supply rigidities, and the liquidity and size of the housing market. Regional differences are particularly pronounced between globally relevant cities and other areas. However, a large fraction of the variation of rent-to-price ratios can be explained neither by local factors nor by an extensive array of property-specific observable features, pointing to the crucial role of idiosyncratic factors and within-city aggregation economies. We then create a pseudo-panel to examine the time-series dimension of house prices and show that the ability of expectations about discount and rent growth rates impounded in rent-to-price ratios to predict return and rent growth is statistically significant but of limited economic magnitude.
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房地产收益率
本文利用德国最大的互联网房地产平台的租赁和销售清单调查了住宅物业收益率的异质性。通过匹配待售和出租房产获得的物业级租金价格比,我们发现它们与当地因素(如人口年龄结构、行业结构、住房供应刚性以及住房市场的流动性和规模)密切相关。具有全球影响力的城市和其他地区之间的区域差异尤为明显。然而,租金与房价比率的很大一部分变化既不能用当地因素解释,也不能用一系列具体财产的可观察特征来解释,这表明了特殊因素和城市内聚集经济的关键作用。然后,我们创建了一个伪面板来检验房价的时间序列维度,并显示租金与房价比中包含的对折扣和租金增长率的预期预测回报和租金增长的能力在统计上是显著的,但经济规模有限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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