000			02782nam a2200361 i 4500
001			CR9780511814235
003			UkCbUP
005			20240919173720.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			141103s2010||||enk o ||1 0|eng|d
020			_a9780511814235 (ebook)
020			_z9780521873390 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aHD1382.5 _b.B756 2010
082	0	0	_a332.63/2401 _222
100	1		_aBrooks, Chris, _d1971- _eauthor.
245	1	0	_aReal estate modelling and forecasting / _cChris Brooks, Sotiris Tsolacos.
246	3		_aReal Estate Modelling & Forecasting
264		1	_aCambridge : _bCambridge University Press, _c2010.
300			_a1 online resource (xix, 453 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_a1. Introduction -- 2. Mathematical building blocks for real estate analysis -- 3. Statistical tools for real estate analysis -- 4. An overview of regression analysis -- 5. Further issues in regression analysis -- 6. Diagnostic testing -- 7. Applications of regression analysis -- 8. Time series models -- 9. Forecasting evaluation -- 10. Multi-equation structural models -- 11. Vector autoregressive models -- 12. Cointegration in real estate markets -- 13. Real estate forecasting in practice -- 14. The way forward for real estate modelling and forecasting -- Index.
520			_aAs real estate forms a significant part of the asset portfolios of most investors and lenders, it is crucial that analysts and institutions employ sound techniques for modelling and forecasting the performance of real estate assets. Assuming no prior knowledge of econometrics, this book introduces and explains a broad range of quantitative techniques that are relevant for the analysis of real estate data. It includes numerous detailed examples, giving readers the confidence they need to estimate and interpret their own models. Throughout, the book emphasises how various statistical techniques may be used for forecasting and shows how forecasts can be evaluated. Written by a highly experienced teacher of econometrics and a senior real estate professional, both of whom are widely known for their research, Real Estate Modelling and Forecasting is the first book to provide a practical introduction to the econometric analysis of real estate for students and practitioners.
650		0	_aReal estate investment _xStatistical methods.
700	1		_aTsolacos, Sotiris, _eauthor.
776	0	8	_iPrint version: _z9780521873390
856	4	0	_uhttps://doi.org/10.1017/CBO9780511814235
942			_2ddc _cEB
999			_c9612 _d9612