scholarly journals BRE INDEX FOR THE HONG KONG RESIDENTIAL PROPERTY MARKET

2004 ◽  
Vol 8 (2) ◽  
pp. 105-119 ◽  
Author(s):  
Eddie Chi Man Hui ◽  
Joe Tak Yun Wong

This paper examines housing price trends and prediction, of homeowners and potential home buyers, and establishes an independent index (the BRE Index) based on longitudinal telephone surveys collected. The Index, first of this kind in Hong Kong, measures price expectations and benchmarks the level of housing actors’ confidence in the residential market. This is the first paper delivered as part of a government‐funded research project. It synthesizes the key findings of the first survey mounted from 17th to 20th December, 2003. The results show that confidence among housing actors has begun to grow since the property crash in late 1997 with the “overall” BRE Index standing at 564 (0–1000 range). In general, homeowners, people with higher educational level and higher income are optimistic about the market outlook. Residential property prices are expected to rise marginally in the short term. Statistically, there is no significant difference in housing price expectations between homeowners and non‐owners. In their minds, economic condition is the most important factor affecting housing decisions. Apparently, the rising trends in the immediate past have been used to form expectations. The strength of the association between actual capital gains and forecast capital gains is moderately strong, and there appears co‐movement between them. This leads us to believe that hope‐led expectations increase the likelihood of sustaining price increases. The current market is largely driven by expectations. If households formed their expectations in a similar manner in other periods, there would be similar “positive hit” results, which might render the Index more powerful.

Author(s):  
Olgun Aydin ◽  
Krystian Zielinski

Although the residential property market has strong connections with various sectors, such as construction, logistics, and investment, it works through different dynamics than do other markets; thus, it can be analysed from various perspectives. Researchers and investors are mostly interested in price trends, the impact of external factors on residential property prices, and price prediction. When analysing price trends, it is beneficial to consider multidimensional data that contain attributes of residential properties, such as number of rooms, number of bathrooms, floor number, total floors, and size, as well as proximity to public transport, shops, and banks. Knowing a neighbourhood's key aspects and properties could help investors, real estate development companies, and people looking to buy or rent properties to investigate similar neighbourhoods that may have unusual price trends. In this study, the self-organizing map method was applied to residential property listings in the Trójmiasto area of Poland, where the residential market has recently been quite active. The study aims to group together neighbourhoods and subregions to find similarities between them in terms of price trends and stock. Moreover, this study presents relationships between attributes of residential properties.


2005 ◽  
Vol 23 (7) ◽  
pp. 757-765 ◽  
Author(s):  
Joe Tak‐Yun Wong ◽  
Eddie C. M. Hui ◽  
William Seabrooke ◽  
John Raftery

2019 ◽  
Vol 38 (2) ◽  
pp. 157-175
Author(s):  
Peng Yew Wong ◽  
Woon-Weng Wong ◽  
Kwabena Mintah

Purpose The purpose of this paper is to validate and uncover the key determinants revolving around the Australian residential market downturn towards the 2020s. Design/methodology/approach Applying well-established time series econometric methods over a decade of data set provided by Australian Bureau of Statistics, Reserve Bank of Australia and Real Capital Analytics, the significant and emerging drivers impacting the Australian residential property market performance are explored. Findings Besides changes in the significant levels of some key traditional market drivers, housing market capital liquidity and cross-border investment fund were found to significantly impact the Australian residential property market between 2017 and 2019. The presence of some major positive economic conditions such as low interest rate, sustainable employment and population growth was perceived inadequate to uplift the Australian residential property market. The Australian housing market has performed negatively during this period mainly due to diminishing capital liquidity, excess housing supplies and retreating foreign investors. Practical implications A better understanding of the leading and emerging determinants of the residential property market will assist the policy makers to make sound decisions and effective policy changes based on the latest development in the Australian housing market. The results also provide a meaningful path for future property investments and investigations that explore country-specific effects through a comparative analysis. Originality/value The housing market determinants examined in this study revolve around the wider economic conditions in Australia that are not new. However, the coalesce analysis on the statistical results and the current housing market trends revealed some distinguishing characteristics and developments towards the 2020s Australian residential property market downturn.


2013 ◽  
Vol 28 ◽  
pp. 115-124 ◽  
Author(s):  
Matthew S. Yiu ◽  
Jun Yu ◽  
Lu Jin

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