PREDICTING HOUSING SALES IN TURKEY USING ARIMA, LSTM AND HYBRID MODELS
Yükleniyor...
Dosyalar
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Vilnius Gediminas Tech Univ
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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 prediction plan cannot be created, the studies conducted both in Turkey and different countries about the housing sector are focused more on estimating housing prices. Especially the developing technological advances allow making estimations in many areas. That is why the purpose of this study is both to provide guiding information to the companies in the sector and to contribute to the literature. In this study, a 124-month data set belonging to the 2008 (1)-2018 (4) period has been taken into account for total housing sales in Turkey. In order to estimate the time series of sales, ARIMA (Auto Regressive Integrated Moving Average as linear model), LSTM (Long Short-Term Memory as nonlinear model) has been used. As to increase the estimation, a HYBRID (LSTM and ARIMA) model created has been used in the application. When MAPE (Mean Absolute Percentage Error) and MSE (Mean Squared Error) values obtained from each of these methods were compared, the best performance with the lowest error rate proved to be the HYBRID model, and the fact that all the application models have very close results shows the success of predictability. This is an indication that our study will contribute significantly to the literature.
Açıklama
Temur, Gunay/0000-0002-7197-5804
WOS: 000485882100006
WOS: 000485882100006
Anahtar Kelimeler
house sales forecast, hybrid model, recurrent neural network, ARIMA, LSTM network, data estimation methodology, time series analysis, housing sales in Turkey
Kaynak
Journal Of Business Economics And Management
WoS Q Değeri
Q2
Scopus Q Değeri
Q2
Cilt
20
Sayı
5
