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High-Frequency Contagion between Aggregate and Regional Housing Markets of the United States with Financial Assets: Evidence from Multichannel Tests 美国总体和区域住房市场与金融资产之间的高频传染:来自多通道测试的证据
Pub Date : 2022-08-19 DOI: 10.1007/s11146-022-09919-8
G. Aye, Christina Christou, Rangan Gupta, C. Hassapis
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引用次数: 0
The Size and Spatial Extent of Neighborhood Price Impacts of Infill Development: Scale Matters? 填充开发对邻里价格影响的大小和空间范围:尺度问题?
Pub Date : 2022-08-08 DOI: 10.1007/s11146-022-09916-x
C. Nygaard, G. Galster, Stephen Glackin
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引用次数: 1
Coming of Age: Renovation Premiums in Housing Markets 成年:住房市场的装修溢价
Pub Date : 2022-08-04 DOI: 10.1007/s11146-022-09917-w
Mari O. Mamre, Dag Einar Sommervoll

We rely on novel textual analysis of real estate listings and identify renovated dwellings in a dataset of Norwegian transactions to estimate the renovation premium in an urban housing market. The renovation premium is estimated in a hedonic framework by classical regression approaches and a random forest algorithm. The strength of the latter is that it allows for a more complex interplay between the renovation premium and explanatory variables. We estimate a significant positive renovation premium of 5–7 percent for renovated dwellings and a negative premium of 9–10 percent for unmaintained/neglected dwellings. These averages mask significant variations in these premiums over time, particularly, a counter-cyclical effect. Omitting renovation information also has implications for estimated short-term house price growth. Unmaintained dwellings tend to transact more in the fourth quarter, indicating that parts of the seasonal price variation reported in the literature are due to compositional variation with respect to renovation. This composition effect bias price movement estimates downward, if uncontrolled for, as unmaintained dwellings transact at significantly lower prices.

我们依靠对房地产清单的新颖文本分析,并在挪威交易数据集中识别翻新住宅,以估计城市住房市场的翻新溢价。利用经典回归方法和随机森林算法,在享乐框架下估算了改造费用。后者的优势在于,它允许更复杂的装修费用和解释变量之间的相互作用。我们估计,翻新住宅的正面翻新溢价为5 - 7%,而未维护/被忽视的住宅的负面翻新溢价为9 - 10%。这些平均值掩盖了这些溢价随时间的显著变化,特别是反周期效应。忽略装修信息也会影响对短期房价增长的估计。未经维护的住宅往往在第四季度交易更多,这表明文献中报道的部分季节性价格变化是由于装修方面的成分变化。如果不受控制,这种构成效应会使价格变动估计向下,因为未维护的住宅交易价格要低得多。
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引用次数: 0
The Effect of Regulatory Oversight on Nonbank Mortgage Subsidiaries 监管对非银行抵押贷款子公司的影响
Pub Date : 2022-07-19 DOI: 10.1007/s11146-022-09906-z
E. Balla, Raymond Brastow, D. Edgel, M. Rose
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引用次数: 0
Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach 在算法驱动的享乐模型中考虑空间自相关:一种空间交叉验证方法
Pub Date : 2022-07-13 DOI: 10.1007/s11146-022-09915-y
Juergen Deppner, Marcelo Cajias
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引用次数: 1
The Impact of Virtual Marketing Strategies on the Price-TOM Relation 虚拟营销策略对价格- tom关系的影响
Pub Date : 2022-06-30 DOI: 10.1007/s11146-022-09908-x
K. C. Anderson, J. Freybote, K. T. Manis
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引用次数: 3
Time on Market and the Cash Discount for Condos 上市时间和公寓的现金折扣
Pub Date : 2022-06-16 DOI: 10.1007/s11146-022-09913-0
Eli Beracha, J. Freybote, Zhenguo Lin, Michael J. Seiler
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引用次数: 1
Sustainability and Private Equity Real Estate Returns 可持续性和私募股权房地产回报
Pub Date : 2022-06-16 DOI: 10.1007/s11146-022-09914-z
Avis Devine, Andrew Sanderford, Chongyu Wang
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引用次数: 3
The Volatility of Housing Prices: Do Different Types of Financial Intermediaries Affect Housing Market Cycles Differently? 房价波动:不同类型的金融中介对房地产市场周期的影响是否不同?
Pub Date : 2022-06-11 DOI: 10.1007/s11146-022-09907-y
Julia Braun, Hans-Peter Burghof, Julius Langer, Dag Einar Sommervoll

Housing markets display several correlations to multiple economic sectors of an economy. Their enormous impact on economies’ health, wealth, and stability is uncontroversial. Interestingly, the forms of financing residential property vary widely between the different countries in terms of both, the available product types and the institutions offering them. This research examines the implications of different financial intermediaries on housing market cycles with special emphasis on two institutional types, conventional banks and building and loan associations. Introducing a heterogeneous agent-based model, the interactions of buyers, sellers, and the two types of credit institutions are assessed. Heterogeneous economic principles and expectations of agents create endogenous market conditions which are strongly influenced by the lending practices of financial intermediaries.

Focusing primarily on collateral values to decide about lending, conventional banks may contribute to volatile housing markets which are prone to recessions. Building and loan associations, on the other hand, rely to a greater extent on endogenously created borrower information. Thus, they are able to cushion the volatility of house prices caused by procyclical mortgage lending of conventional banks and increase the stability of the housing market. Simulations show that the most stable market conditions are attained if both types of financial intermediaries serve the mortgage lending market jointly. Furthermore, transaction and homeownership rates are the highest in this market setting. These findings advocate in favor of diversified financial markets.

房地产市场与一个经济体的多个经济部门显示出若干相关性。它们对经济健康、财富和稳定的巨大影响是无可争议的。有趣的是,在不同国家之间,住宅物业融资的形式、可用的产品类型和提供这些产品的机构都有很大的不同。本研究考察了不同金融中介机构对住房市场周期的影响,特别强调了两种机构类型,即传统银行和建筑和贷款协会。引入基于异质主体的模型,评估了买方、卖方和两种信用机构之间的相互作用。异质的经济原则和代理人的期望创造了内生的市场条件,这些条件受到金融中介机构贷款做法的强烈影响。传统银行主要关注抵押品的价值来决定贷款,这可能会导致房地产市场的波动,从而容易陷入衰退。另一方面,建筑和贷款协会在更大程度上依赖于内生的借款人信息。因此,它们能够缓冲由传统银行顺周期抵押贷款引起的房价波动,增加住房市场的稳定性。模拟结果显示,当两类金融中介机构共同为按揭贷款市场服务时,市场条件最稳定。此外,在这种市场环境下,交易和住房拥有率是最高的。这些发现支持多元化的金融市场。
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引用次数: 0
How do Non-Core Allocations Affect the Risk and Returns of Private Real Estate Funds? 非核心配置如何影响私募房地产基金的风险和收益?
Pub Date : 2022-06-10 DOI: 10.1007/s11146-022-09886-0
Spencer J. Couts
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引用次数: 0
期刊
The Journal of Real Estate Finance and Economics
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