Real Estate Indices and Unsmoothing Techniques

Urbi Garay
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Abstract

Real estate indices are an increasingly important aspect of real estate investment management. The uses of these indices include the estimation of risks and returns for assisting the asset allocation decision-making process, as well as the specification of benchmarks for performance attribution. Performance attribution provides valuable information both for bottom-up investment management (e.g., in the selection of properties or managers) and for top-down investment management (in the determination of allocation to various categories of real estate investments). The two main approaches to indexation are appraisal-based and transaction-based, each of which has its own potential problems. The chapter compares these approaches and reviews many of the most popular real estate indices, which vary in terms of methodology used. The prevalence of a variety of indexation methodologies highlights the fact that all methodologies have nontrivial problems and that real estate analysts should be aware of the challenges associated with each methodology. The first part of this chapter discusses un-smoothing of a price index or return series — the process of removing the effects of smoothing from a data series. It begins by introducing smoothed pricing and the principles of un-smoothing. The chapter also explains transaction noise, which arises when real estate transaction prices contain errors that make those prices less reliable when compared to prices of more liquid assets. For example, the reported transaction prices result from a negotiation process between buyers and sellers and therefore represent one set of possible values from a range of prices that would have been acceptable to both buyers and sellers. Transaction noise is another important technical issue when dealing with real estate indices. Property values are noisy (in the sense that they reflect random error) because empirical real estate values are imprecise indicators of true value. Finally, the chapter discusses the performance of various appraisal-based and transaction-based real estate indices.
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房地产指数和非平滑技术
房地产指数是房地产投资管理的一个日益重要的方面。这些指数的用途包括对风险和回报的估计,以协助资产配置决策过程,以及对业绩归因基准的说明。绩效归因为自下而上的投资管理(例如,在选择物业或经理时)和自上而下的投资管理(在确定分配给各种房地产投资类别时)提供了有价值的信息。指数化的两种主要方法是基于评估的方法和基于交易的方法,每种方法都有其潜在的问题。本章比较了这些方法,并回顾了许多最流行的房地产指数,这些指数在使用的方法方面有所不同。各种指数化方法的流行突出了这样一个事实,即所有的方法都有重要的问题,房地产分析师应该意识到与每种方法相关的挑战。本章的第一部分讨论了价格指数或收益序列的非平滑-从数据序列中去除平滑影响的过程。首先介绍平滑定价和非平滑原则。本章还解释了交易噪音,当房地产交易价格包含错误,使这些价格与流动性更强的资产价格相比不那么可靠时,就会出现交易噪音。例如,报告的交易价格是买卖双方谈判过程的结果,因此代表了买卖双方都能接受的一系列价格中的一组可能值。在处理房地产指数时,交易噪声是另一个重要的技术问题。房地产价值是有噪声的(从某种意义上说,它们反映了随机误差),因为经验房地产价值是真实价值的不精确指标。最后,本章讨论了各种基于估价和基于交易的房地产指数的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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