Real Estate Modelling and Forecasting

The first book to provide a practical introduction to the econometric analysis of real estate for students and practitioners.

Chris Brooks (Author), Sotiris Tsolacos (Author)

9780521873390, Cambridge University Press

Hardback, published 15 April 2010

474 pages, 104 b/w illus. 89 tables
25.1 x 19.5 x 3.2 cm, 1.18 kg

'This comprehensive text addresses the application of econometric modeling to real estate and has high value for both students and practitioners … The text is well written for both undergraduate and graduate students and is also well suited to real estate professionals with an interest in this area. The authors do an excellent job of illustrating the practical application of the concepts to real estate.' Journal of Real Estate Literature

As 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.

List of figures
List of tables
List of boxes
Preface
Acknowledgements
1. 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.

Subject Areas: Finance [KFF], Econometrics [KCH], Economics, finance, business & management [K]