Detecting bubbles in Hong Kong residential property market

By M. Yiu, Jun Yu, Lu Jin. 2013

143 citations recorded by the source corpus.

This study uses a newly developed bubble detection method (Phillips, Shi, and Yu, 2011) to identify real estate bubbles in the Hong Kong residential property market. Our empirical results reveal several positive bubbles in the Hong Kong residential property market, including one in 1995, a stronger one in 1997, yet another one in 2004, and a more recent one in 2008. In addition, the method identifies two negative bubbles in the data, one in 2000 and the other one in 2001. These empirical results continue to be valid for the mass segment and the luxury segment. However, this method has also found a bubble in early 2011 in the overall market, and in the mass segment but not in the luxury segment. This result suggests that the bubble in early 2011 in the Hong Kong real estate market was caused primarily by the mass segment under the demand pressure from end-users of small-to-medium sized apartments.

Subfields: Economics and Econometrics, Finance

View Paper: https://www.semanticscholar.org/paper/f51a361aca0d465b32fae18645fb9711d92a406b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

  1. Peter C. B. Phillips
  2. Shuping Shi
  3. Jun Yu
  4. C. Gilbert
  5. Alisa Yusupova
  6. David Peel
  7. Adrienne Mack
  8. Enrique Martínez-García

In Finance

  1. Jun Yu
  2. Peter C. B. Phillips
  3. Shuping Shi
  4. Alisa Yusupova
  5. Adrienne Mack
  6. Enrique Martínez-García
  7. Valerie Grossman
  8. I. Paya

Citations in the corpus