Capture the abrupt changes in Asian residential property markets. (August 2016)

• Record Type: Journal Article
• Authors: Hui, Eddie C.M.; Liang, Cong; Zhong, Jiawei; Ip, Wai-Cheung
• Is Part Of: Habitat international. Volume 56(2016)
• Page Start: 235
• Page End: 244
• Publication Date: 2016-08
• Subjects: Wavelet analysis -- Jump point -- Property market -- Economic events -- Emerging market -- CUSUM test; Human settlements -- Periodicals; 307
• DOI: 10.1016/j.habitatint.2016.06.005
• Languages: English
• ISSNs: 0197-3975

Abstract

Abstract: In this paper, studies on the real estate markets mainly focused on the relationship between abrupt change points and corresponding political issues and economic collapse. Within the past statistical framework, change-point detection technique was widely considered based on large and long data sets. Few studies considered the situation where a limited size of time-series data sets is available in the real estate markets. To fill in this gap, the wavelet analysis with minimax threshold is introduced in this paper. By comparing Daubechies LA(8), wavelet analysis with minimax threshold is a versatile and powerful approach to the analysis of residential data as they are flexible in their function form and provide a robust computational method even with a small sample size. The detected change points reflect some significant political issues and economic collapses. It can be shown from the empirical result that a "diffusion relationship" happened from one location to another. Highlights: The study focuses on the relationship between abrupt change points and corresponding events for property markets. The study aims to detect change points hidden in residential price index for four Asian cities. The findings reflect some significant political issues and economic collapses.