通过机器学习方法预测土耳其的房价

IF 0.8 Q3 ECONOMICS

Aestimum Pub Date : 2022-03-27 DOI:10.36253/aestim-12320

M. Kayakuş, M. Terzioğlu, Filiz Yetiz

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引用次数: 3

摘要

本研究采用决策树回归、人工神经网络(ANN)和支持向量机(SVM)方法，利用2013-2020年期间的月度数据对土耳其的住房销售进行估计。在分析中，使用了银行提供的个人抵押贷款数量，宏观经济和市场变量的抵押贷款平均年利率，消费者价格指数(CPI)， BIST 100指数，基准债券利率，黄金价格以及美元和欧元土耳其里拉的价值以及土耳其每平方米房屋销售价格。由于对所创建的模型进行了分析，成功地估计了土耳其住房市场的房屋销售价格，根据这些估计，确定银行可以指导银行制定各种信贷方案和适当的贷款目标，以支持住房部门。

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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Forecasting housing prices in Turkey by machine learning methods

In this study, decision tree regression, artificial neural networks (ANN) and support vector machines (SVM) methods are applied by using monthly data for the period 2013-2020 in the estimation of housing sales in Turkey. In the analysis, the volume of individual mortgage loans offered by banks, the average annual interest rate of mortgage loans from macroeconomic and market variables, the consumer price index (CPI), the BIST 100 index, the benchmark bond interest rate, gold prices and the values of the US dollar and Euro Turkish lira and the housing sales price per square meter in Turkey are used. As a result of the analysis carried out on the model created house sales prices in the Turkish housing market have been successfully estimated and in the light of these estimates, it is determined that banks can guide banks in the creation of various credit packages and appropriate loan targets to support the housing sector.

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来源期刊

Aestimum ECONOMICS-

CiteScore

2.30

自引率

0.00%

发文量

审稿时长

12 weeks

期刊介绍： Aestimum is a peer-reviewed Journal dedicated to the methodological study of appraisal and land economics. Established in 1976 by the Italian Association of Appraisers and Land Economists, which was legally recognized by Ministerial Decree, March 1993. Topics of interests comprise rural, urban and environmental appraisal, evaluation of public investments and land use planning. All the areas under discussion are addressed to the International scene. The interdisciplinary approach is one of the mainstays of this editorial project and all of the above mentioned topics are developed taking into consideration the economic, legal and urban planning aspects. Aestimum is biannual Journal and publishes articles both in Italian and English. Articles submitted are subjected to a double blind peer review process.