房地产中的新技术和数据

Marcelo Cajias, Ronald S. Weberndorfer, Wolfgang Feilmayr
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引用次数: 0

摘要

初始收益率被机构投资者和投资经理用来评估房地产市场的定价状况。与商业地产不同,住宅领域的初始收益率很难量化,尤其是由于缺乏可比较的指标。在数字化和大数据时代,住宅资产大多通过数字化多上市系统进入市场。本文开发了半参数享乐模型,用于提取隐含信息,以计算基于300多万个观察值的购买持有和租赁投资策略的住宅净初始收益。结果是稳健的,并证实了住宅市场的定价条件被享乐主义方法捕获,提高了房地产市场的透明度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Technology and Data in Real Estate
Initial yields are used by institutional investors and investment managers to assess the pricing conditions of real estate markets. In contrast to commercial real estate, initial yields in the residential sector are hard to quantify, especially due to the lack of comparables. In the era of digitalisation and big data residential assets are mostly brought to the market via digital multiple listing systems. The paper develops semiparametric hedonic models for extracting the implicit information to calculate residential net initial yields for both a buy-to-hold and rental investment strategy based on more than 3 million observations. The results are robust and confirm that the pricing conditions of residential markets are captured by the hedonic approach, enhancing the transparency in real estate markets.
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