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dc.contributor.advisor Prodan Boul, Ruxandra
dc.creator Seth, Jaweria
dc.date.accessioned 2012-04-19T14:05:01Z
dc.date.accessioned 2012-04-19T14:05:02Z
dc.date.available 2012-04-19T14:05:01Z
dc.date.available 2012-04-19T14:05:02Z
dc.date.created 2011-08
dc.date.issued 2012-04-19
dc.date.submitted August 2011
dc.identifier.uri http://hdl.handle.net/10657/246
dc.description.abstract Research has shown that a decline in residential investments signals an impending decline in economic activity. Sources of demand for both residential and commercial real estate sectors are similar and this should move the markets in the same direction over the long-run. Since the residential market has already collapsed, the study of real estate investments is important. This paper utilizes real estate and macroeconomic data to forecast investment loans. Cointegration methods are used for the forecast because the data displays a tendency to move together. The results show that the forecast is inconsistent with the positive relationship between both real estate markets; the residential market will continue to decline, whereas the commercial market with see a positive growth from 2011-2012.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subject Cointegration, Real Estate
dc.subject Forecasting
dc.title FORECASTING THE REAL ESTATE MARKET: A COINTEGRATED APPROACH
dc.date.updated 2012-04-19T14:05:02Z
dc.type.material text *
dc.type.genre thesis *
thesis.degree.name Applied Economics
thesis.degree.level Masters
thesis.degree.discipline Applied Economics
thesis.degree.grantor University of Houston
thesis.degree.department Economics
dc.contributor.committeeMember Jiu, Brett
dc.contributor.committeeMember Nikolsko-Rzhevskyy, Alex

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