High dimensional composite index makes experts' preferences in setting weights a hard task. In the literature, one of the approaches to derive weights from a data set is Principal Component or Factor Analysis that, although conceptually different, they are similar in results when FA is based on...

The general purpose of a dynamic factor model (DFM) is to summarize a large number of time series into a few common factors. Here we explore a number of DFM specifications applied to 80 granular, non-overlapping indexes of commercial property prices in the US, quarterly from 2001 to 2017. We...

In this paper, the factor model is used to explore the importance of the monthly macroeconomic variables and Google Trend index in forecasting the Taipei House Price Index. In particular, We consider different settings of constructing the factors, including the traditional factor model, squared...