根据市场数据和地籍价值确定交易折扣

IF 0.5 Q4 BUSINESS
M. Laskin
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引用次数: 1

摘要

俄罗斯联邦引入地籍估价制度为房地产估价开辟了新的机会。在这方面,评估人员的新关注点是对多维经验分布的统计分析,这是以前没有的,因为房地产市场没有集中在统一数据库中的成对和多维观察。分析师感兴趣的数据通常集中在不同所有者的不同来源,并属于不同的对象。将它们结合起来的目标可以通过将这些数据与地籍记录的数据进行比较来解决,即地籍编号作为对象的唯一标识符。由于地籍值对应于每个地籍编号,因此可以将地籍值与重要指标进行比较,如报价的市场价格、交易价格、租金、年度价格指数、资本化率、贴现率、交易贴现率和许多其他指标,这些指标的形成涉及两个以上的随机变量。该模型的构建涉及遵循对比较形成的价格与几何布朗运动的原理,从而形成对数正态总体。事实证明,由于2014年在俄罗斯联邦进行了大规模的地籍工作,地籍价值也受到价格(每类对象)的对数正态分布的影响。对于市场价值(作为完全竞争条件下交易的最可能价格),这导致了权力类型的地籍价值的函数依赖性。同样,许多其他指标也将以幂函数的形式受到依赖。显然,有一个函数依赖于一组值中地籍价值的各种指标,你可以设置各种指标之间的关系,这在引入地籍价值制度之前是不可能的。本文在分析市场统计数据和地籍档案数据库的基础上,提出了房地产估价中交易折扣的计算方法。提出了交易折扣与报价相关性的分析公式。该方法不仅允许我们为广告数据库中包含的对象设置折扣级别,还允许我们为任何经过地籍登记的对象设置打折级别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of the trading discount based on market data and cadastral value
The introduction of the institution of cadastral value in the Russian Federation opens up new opportunities in real estate valuation. In this regard, the new focus for appraisers is statistical analysis of multidimensional empirical distributions that were not previously available, because the real estate market does not have pairwise and multidimensional observations concentrated in unified databases. Data of interest to analysts is usually concentrated in different sources from different owners and pertains to different objects. The goal of combining them can be solved by comparing such data with the data of cadastral records, namely the cadastral number as a unique identifier of the object. Since the cadastral value corresponds to each cadastral number, it is possible to compare the cadastral value with important indicators such as the market price of the offer, the transaction price, the rental rate, the annual price indices, the capitalization rate, the discount rate, the trading discount and many other indicators, the formation of which involves more than two random variables. The construction of the model involves the principle of following the prices formed by pair comparisons to geometric Brownian motion, and hence the formation of lognormal population. As it turned out, as a result of large-scale cadastral work carried out in the Russian Federation in 2014, the cadastral value is also subject to lognormal distribution of prices (in each class of objects). For the market value (as the most probable price of the transaction under conditions of perfect competition), this leads to functional dependences from the cadastral value of the power type. Similarly, many other indicators will also be subject to dependences in the form of power functions. Obviously, having a function depending from the various indicators of cadastral value across the set of values, you can set the relationship between the various indicators, which was impossible before the introduction of the institution of cadastral value. This article proposes a method of calculating the trading discount when appraising real estate based on analysis of market statistics and databases of cadastral records. An analytical formula of the dependence of trading discounts from the offer price is proposed. The method allows us to set the level of the discount not only for objects included in an advertising database, but also for any object that has undergone cadastral registration.
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