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Automated Valuation Methods in Atypical Real Estate Markets Using the Mono-parametric Approach

机译：使用单参数方法的非典型房地产市场中的自动估值方法

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The appraisal objectivity depends on the possibility to quickly and easily access to reliable real estate data in order to apply appropriate appraisal approaches. In order to ensure the objectivity of the real estate appraisals, in recent years Automated Valuation Methods (AVM) have been developed, integrating computerized real estate databases and programming languages. The Automated Valuation Methods proposed at international level usually recur to regression models, aimed to return appraisal equations based on reliable real estate databases. This approach is not applicable in some markets where lack of data does not allow the implementation of regression models. This paper proposes to implement a valuation automatic method in order to appraise properties located in atypical markets, structuring a procedural algorithm based on the mono-parametric approach and able to return punctual values related to the subject's specifics and to the market peculiarities in a very limited area. The paper proposes also the application of similarity degree coefficients in order to take into account the differences between the amounts of the real estate features, leading to the possibility to use the mono-parametric approach also when lack of data would not recommend it.
机译：评估的客观性取决于能否快速，轻松地访问可靠的房地产数据，以应用适当的评估方法。为了确保房地产评估的客观性，近年来，开发了自动评估方法（AVM），将计算机化的房地产数据库和编程语言集成在一起。国际上提出的自动评估方法通常会回归到回归模型，旨在基于可靠的房地产数据库返回评估方程。这种方法不适用于某些缺乏数据不允许执行回归模型的市场。本文提出了一种实施自动估值的方法，以评估位于非典型市场中的房产，构造基于单参数方法的程序算法，并且能够在非常有限的范围内返回与主体的具体情况和市场特殊性有关的守时值。区域。本文还提出了相似度系数的应用，以考虑房地产特征量之间的差异，从而导致在缺乏数据的情况下也建议使用单参数方法的可能性。

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