资产生产率、地方信息扩散与商业地产收益

David C. Ling, Chongyu Wang, Tingyu Zhou
{"title":"资产生产率、地方信息扩散与商业地产收益","authors":"David C. Ling, Chongyu Wang, Tingyu Zhou","doi":"10.2139/ssrn.3628872","DOIUrl":null,"url":null,"abstract":"The geography of a firm’s assets is an important determinant of its investment decisions and productivity, which, in turn, drives stock returns. We construct a novel measure of the returns earned by private market investors in the metropolitan areas where each equity REIT owns properties. We then risk-adjust this geographically weighted proxy for each REIT’s property portfolio return (PPR) by regressing it against the sensitivity of the REIT’s returns to systematic risk factors. We find that this risk-adjusted property portfolio return (αPPR) predicts the cross-section of returns in the public REIT market, suggesting a slow diffusion of asset-level information into stock returns. Our findings also suggest it is the slow diffusion of information about “local” prices changes, not current rental income or local liquidity, that predicts REIT returns. Moreover, the αPPRs associated with REIT allocations to major “gateway” markets are more predictive of REIT returns than the property portfolio returns produced by allocations to secondary and tertiary markets. This study improves our understanding of the extent to which “local” information about the productivity of a firm’s assets is capitalized into stock prices and the speed at which it is capitalized. This study also contributes to the literature on the predictability of REIT returns and the relation between private and public CRE returns using firm-level, instead of index level, returns.","PeriodicalId":375725,"journal":{"name":"SPGMI: Capital IQ Data (Topic)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Asset Productivity, Local information Diffusion, and Commercial Real Estate Returns\",\"authors\":\"David C. Ling, Chongyu Wang, Tingyu Zhou\",\"doi\":\"10.2139/ssrn.3628872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The geography of a firm’s assets is an important determinant of its investment decisions and productivity, which, in turn, drives stock returns. We construct a novel measure of the returns earned by private market investors in the metropolitan areas where each equity REIT owns properties. We then risk-adjust this geographically weighted proxy for each REIT’s property portfolio return (PPR) by regressing it against the sensitivity of the REIT’s returns to systematic risk factors. We find that this risk-adjusted property portfolio return (αPPR) predicts the cross-section of returns in the public REIT market, suggesting a slow diffusion of asset-level information into stock returns. Our findings also suggest it is the slow diffusion of information about “local” prices changes, not current rental income or local liquidity, that predicts REIT returns. Moreover, the αPPRs associated with REIT allocations to major “gateway” markets are more predictive of REIT returns than the property portfolio returns produced by allocations to secondary and tertiary markets. This study improves our understanding of the extent to which “local” information about the productivity of a firm’s assets is capitalized into stock prices and the speed at which it is capitalized. This study also contributes to the literature on the predictability of REIT returns and the relation between private and public CRE returns using firm-level, instead of index level, returns.\",\"PeriodicalId\":375725,\"journal\":{\"name\":\"SPGMI: Capital IQ Data (Topic)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SPGMI: Capital IQ Data (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3628872\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SPGMI: Capital IQ Data (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3628872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21

摘要

公司资产的地理位置是其投资决策和生产率的重要决定因素,而投资决策和生产率反过来又推动股票回报。我们构建了一个衡量大都市地区私人市场投资者收益的新方法,其中每个股权REIT都拥有物业。然后,我们通过对REIT回报对系统风险因素的敏感性进行回归,对每个REIT的房地产投资组合回报(PPR)的地理加权代理进行风险调整。我们发现,风险调整后的房地产投资组合收益(αPPR)预测了公开房地产投资信托基金市场的收益横截面,表明资产水平信息扩散到股票收益的速度较慢。我们的研究结果还表明,预测房地产投资信托基金回报的是“当地”价格变化信息的缓慢传播,而不是当前租金收入或当地流动性。此外,与房地产投资信托基金配置到主要“门户”市场相关的α ppr比配置到二级和三级市场产生的房地产投资组合回报更能预测房地产投资信托基金的回报。这项研究提高了我们对公司资产生产率的“本地”信息在多大程度上被资本化为股票价格以及资本化的速度的理解。本研究也有助于研究REIT收益的可预测性以及使用公司水平而非指数水平回报的私有和公共CRE收益之间关系的文献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Asset Productivity, Local information Diffusion, and Commercial Real Estate Returns
The geography of a firm’s assets is an important determinant of its investment decisions and productivity, which, in turn, drives stock returns. We construct a novel measure of the returns earned by private market investors in the metropolitan areas where each equity REIT owns properties. We then risk-adjust this geographically weighted proxy for each REIT’s property portfolio return (PPR) by regressing it against the sensitivity of the REIT’s returns to systematic risk factors. We find that this risk-adjusted property portfolio return (αPPR) predicts the cross-section of returns in the public REIT market, suggesting a slow diffusion of asset-level information into stock returns. Our findings also suggest it is the slow diffusion of information about “local” prices changes, not current rental income or local liquidity, that predicts REIT returns. Moreover, the αPPRs associated with REIT allocations to major “gateway” markets are more predictive of REIT returns than the property portfolio returns produced by allocations to secondary and tertiary markets. This study improves our understanding of the extent to which “local” information about the productivity of a firm’s assets is capitalized into stock prices and the speed at which it is capitalized. This study also contributes to the literature on the predictability of REIT returns and the relation between private and public CRE returns using firm-level, instead of index level, returns.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Why Is a CCP Failure Very Unlikely? Does Shareholder Litigation Risk Cause Public Firms to Delist? Evidence From Securities Class Action Lawsuits How Do Institutional Investors React to Geographically Dispersed Information Shocks? A Test Using the COVID-19 Pandemic Disequilibrium Propagation of Quantity Constraints: Application to the COVID Lockdowns A Green Wave in Media, a Change of Tack in Stock Markets
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1