... of the homebuyers’ sociodemographic characteristics on their preferences for SAH; and to develop regression models predicting the relationship between homebuyers’ sociodemographic factors and their preferences for SAH . This study addresses a significant gap in the literature by predicting...

... in the real estate market better and take the necessary decisions in a timely manner, if necessary. Originality/value This study considerably adds to the existing literature by providing a better understanding of external factors that affect the housing price in Lithuania and let predict the changes...

...Rotimi Boluwatife Abidoye; Albert P.C. Chan; Funmilayo Adenike Abidoye; Olalekan Shamsideen Oshodi Hong Kong Prediction Artificial neural network (ANN) Property price index Autoregressive integrated moving average (ARIMA) Support vector machine (SVM) The price of a property is usually...