Predicting housing sales in Turkey using ARIMA, LSTM and hybrid models

Predicting housing sales in Turkey using ARIMA, LSTM and hybrid models

Having forecast of real estate sales done correctly is very important for balancing supply and demand in the housing market. However, it is very difficult for housing companies or real estate professionals to determine how many houses they will sell next year. Although this does not mean that a pre...

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Bibliographic Details
Main Authors: Ayşe Soy Temür, Melek Akgün, Günay Temür
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2019-07-01
Series:Journal of Business Economics and Management
Subjects:
house sales forecast
hybrid model
recurrent neural network
ARIMA
LSTM network
data estimation methodology
Online Access:https://journals.vgtu.lt/index.php/JBEM/article/view/10190

Internet

https://journals.vgtu.lt/index.php/JBEM/article/view/10190

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