TY - JOUR T1 - Fluctuations in the European Housing Market: Forecasting the House Price Index Change with Time-Series Models TT - Avrupa Konut Piyasasındaki Dalgalanmalar: Zaman Serisi Modelleriyle Konut Fiyat Endeksi Değişiminin Tahmini AU - Nalici, Mehmet Eren AU - Soylemez, İsmet AU - Ünlü, Ramazan PY - 2025 DA - August Y2 - 2025 DO - 10.2339/politeknik.1724043 JF - Politeknik Dergisi PB - Gazi University WT - DergiPark SN - 2147-9429 SP - 1 EP - 1 LA - en AB - This study presents a comparative analysis of a time series models for forecasting changes in the Housing Price Index (HPI) in 27 European countries. Accurate HPI forecasting is essential for the development of effective policies and investment strategies. The study uses quarterly data from Q4 2013 to Q3 2024. Methodologically, the stationarity of the data is tested using the Dickey–Fuller test and differencing is applied to non-stationary series. The ARIMA, Holt Linear Trend, Additive Damped Trend and Exponential Smoothing models are evaluated based on the lowest mean squared error (MSE) value for each country. The findings confirmed the heterogeneous structure of the European housing market, showing that no single model is suitable for all countries. The ARIMA model provided the most accurate results for nine countries, while the Holt Linear Trend and Additive Damped Trend models performed best in seven countries each. Forecasts for the period 2025–2026 are generated based on these results. This study highlights the importance of adopting country-specific and adaptable forecasting approaches to accommodate the varying dynamics of European housing markets. KW - House Price Index Change KW - Time Series Forecasting KW - ARIMA KW - Housing Market Dynamics N2 - Bu çalışma, 27 Avrupa ülkesinde Konut Fiyat Endeksi değişikliklerini tahmin etmek için zaman serisi modellerinin karşılaştırmalı bir analizini sunmaktadır. Doğru Konut Fiyat Endeksi tahmini, etkili politikalar ve yatırım stratejileri geliştirmek için gereklidir. Çalışma, 2013 yılının 4. çeyreğinden 2024 yılının 3. çeyreğine kadar olan veriler kullanmaktadır. Metodolojik olarak, verilerin durağanlığı Dickey–Fuller testi ile test edilmiş ve durağan olmayan serilere fark alma uygulanmıştır. ARIMA, Holt Doğrusal Trend, Katkılı Sönümlü Trend ve Üstel Düzeltme modelleri, her ülke için en düşük ortalama karesel hata (MSE) değerine göre değerlendirilmiştir. Bulgular, Avrupa konut piyasasının heterojen yapısını doğrulamış ve tek bir modelin tüm ülkeler için uygun olmadığını göstermiştir. ARIMA modeli dokuz ülke için en doğru sonuçları verirken, Holt Doğrusal Trend ve Katkılı Sönümlü Trend modelleri yedi ülkede en iyi performansı gösterdi. 2025–2026 dönemi için tahminler bu sonuçlara dayalı olarak oluşturulmuştur. 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UR - https://doi.org/10.2339/politeknik.1724043 L1 - https://dergipark.org.tr/en/download/article-file/4977646 ER -