{"title":"商业地产日估价一种新的混频方法","authors":"Marc K. Francke, A. Minne","doi":"10.2139/ssrn.3789205","DOIUrl":null,"url":null,"abstract":"We present a mixed frequency repeat sales model for commercial real estate, taking into account changes in net operating income between the date of buying and selling the property. Moreover, we relate monthly private market index asset returns to lags, up to one year, of daily REIT returns. The underlying REIT model enables us to interpolate the monthly private market index returns on a daily basis, and to predict the private market index asset returns going forward. The mixed frequency repeat sales model facilitates daily appraisal of commercial real estate portfolios. We apply the model on sale prices (all property types, and apartments only) in the period January 2006 up to July 2020, provided to us by Real Capital Analytics. We find that the mixed frequency repeat sales model reduces one-month-ahead forecasts errors and index revisions, compared to a benchmark model without daily REIT returns.","PeriodicalId":21047,"journal":{"name":"Real Estate eJournal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Daily Appraisal of Commercial Real Estate A New Mixed Frequency Approach\",\"authors\":\"Marc K. Francke, A. Minne\",\"doi\":\"10.2139/ssrn.3789205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a mixed frequency repeat sales model for commercial real estate, taking into account changes in net operating income between the date of buying and selling the property. Moreover, we relate monthly private market index asset returns to lags, up to one year, of daily REIT returns. The underlying REIT model enables us to interpolate the monthly private market index returns on a daily basis, and to predict the private market index asset returns going forward. The mixed frequency repeat sales model facilitates daily appraisal of commercial real estate portfolios. We apply the model on sale prices (all property types, and apartments only) in the period January 2006 up to July 2020, provided to us by Real Capital Analytics. We find that the mixed frequency repeat sales model reduces one-month-ahead forecasts errors and index revisions, compared to a benchmark model without daily REIT returns.\",\"PeriodicalId\":21047,\"journal\":{\"name\":\"Real Estate eJournal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Real Estate eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3789205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Real Estate eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3789205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
摘要
我们提出了一个混合频率重复销售模型的商业房地产,考虑到在购买和出售财产之间的净营业收入的变化。此外,我们将月度私人市场指数资产回报与房地产投资信托基金每日回报的滞后(最长一年)联系起来。基础的房地产投资信托基金模型使我们能够以每日为基础插值私人市场指数的月度回报,并预测私人市场指数资产未来的回报。混合频率重复销售模型有助于商业房地产投资组合的日常评估。我们将该模型应用于2006年1月至2020年7月期间的销售价格(所有房产类型,仅限公寓),该模型由Real Capital Analytics提供。我们发现,与没有每日REIT回报的基准模型相比,混合频率重复销售模型减少了一个月前的预测误差和指数修正。
Daily Appraisal of Commercial Real Estate A New Mixed Frequency Approach
We present a mixed frequency repeat sales model for commercial real estate, taking into account changes in net operating income between the date of buying and selling the property. Moreover, we relate monthly private market index asset returns to lags, up to one year, of daily REIT returns. The underlying REIT model enables us to interpolate the monthly private market index returns on a daily basis, and to predict the private market index asset returns going forward. The mixed frequency repeat sales model facilitates daily appraisal of commercial real estate portfolios. We apply the model on sale prices (all property types, and apartments only) in the period January 2006 up to July 2020, provided to us by Real Capital Analytics. We find that the mixed frequency repeat sales model reduces one-month-ahead forecasts errors and index revisions, compared to a benchmark model without daily REIT returns.