Home away from home? Foreign demand and London house prices
异乡的家?外国需求与伦敦房价AI 解读 ↓
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AI 根据所提供的论文材料归类:摘要提出横截面识别方法,研究外国避险需求对住宅这一资产价格的影响。
异乡的家?外国需求与伦敦房价AI 解读 ↓
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Identifying the effects of “flights to safety” on asset prices using pure time-series methods is difficult because crises are infrequent. We develop a new cross-sectional identification approach, motivated by the insight that investors may differ in their “preferred habitats” within a broad asset class. We apply the method to the question of whether foreign capital is responsible for residential real estate price movements in global cities such as London and New York, especially during crises. Using large data sets of housing transactions, we find that foreign risk strongly affects London house prices. The effects are long-lasting, and are associated with both safe-haven effects and immigration.