Housing prices have a huge impact on social well being. There have been suggestions that bursts of housing price bubbles resemble phase transitions in physics. By comparing the price data of several metropolitan cities such as Taipei, Singapore and Hong Kong, we found interesting similarities. We will explore how such similarities can be quantified and how they can give early warning signals to bursts of bubbles. This project is a collaboration with Profs. Sai Ping Li in Taiwan and Siew Ann Cheong in Singapore.
Remark: For ongoing members only.
UROP1000 UROP1100 UROP2100 UROP3100 UROP4100
The applicants will have chance to process and analyze housing price data in obtained from databases in Hong Kong, extract informative quantitative parameters for predictions.
Applicant's Learning Objectives:
To extract meaningful descriptive parameters from large volume of data.
To identify key indicators signaling bursts of housing price bubbles.