Building a House Prices Forecasting Model in Hong Kong

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dc.contributor.author Lam, Kai-Chi en_US
dc.contributor.author Ge, Janet en_US
dc.contributor.editor en_US
dc.date.accessioned 2010-05-28T09:52:12Z
dc.date.available 2010-05-28T09:52:12Z
dc.date.issued 2002 en_US
dc.identifier 2006006565 en_US
dc.identifier.citation Ge Xin Janet and Lam Kai-Chi 2002, 'Building a House Prices Forecasting Model in Hong Kong', Australian Institute of Quantity Surveyors, vol. 2, no. 2, pp. 57-70. en_US
dc.identifier.issn 1445-2634 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/9834
dc.description.abstract The purpose of building a house prices forecasting model is to estimate the impact of housing demand and housing supply in Hong Kong. The property market plays a very important role in the economy of Hong Kong. The real estate sector contributed approximately 10.2 per cent of GOP in 1996 (Hong Kong Government, 1998). More than 45 per cent of all bank loans, over HK$500 billion as at the end of 1997, were directly tied to properties (Hong Kong Government, 1998). Income from land auctions, rates and stamp duties accounted for approximately 24 per cent of total Government revenue in 1997/1998 (Chan, et al., 2001). Property and construction company stocks contributed 25 per cent to Hong Kong's stock market capitalization as well as to over 60 per cent of capital investment expenditures (Newell and Chau, 1996). Smooth changes in house prices thus help to maintain stable economic growth in Hong Kong. To achieve a stable house price level, housing supply must match the demand for houses. However, house prices have at ti mes been very volatile as a result of mismatched housing demand and supply in Hong Kong. en_US
dc.language en_US
dc.publisher Australian Institute of Quantity Surveyors en_US
dc.relation.isbasedon en_US
dc.title Building a House Prices Forecasting Model in Hong Kong en_US
dc.parent The Australian Journal of Construction Economics and Building en_US
dc.journal.volume 2 en_US
dc.journal.number 2 en_US
dc.publocation Sydney, Australia en_US
dc.identifier.startpage 57 en_US
dc.identifier.endpage 70 en_US
dc.cauo.name DAB.School of Built Environment en_US
dc.conference Verified OK en_US
dc.for 120200 en_US
dc.personcode 100820 en_US
dc.personcode 0000030397 en_US
dc.percentage 100 en_US
dc.classification.name Building en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords en_US


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