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Informationen zum Autor Chris Brooks is Professor of Finance at the ICMA Centre, University of Reading, where he also obtained his PhD. He has published over sixty articles in leading academic and practitioner journals including the Journal of Business, the Journal of Banking and Finance, the Journal of Empirical Finance, the Review of Economics and Statistics and the Economic Journal. He is associate editor of a number of journals including the International Journal of Forecasting. He has also acted as consultant for various banks and professional bodies in the fields of finance, econometrics and real estate. He is the author of the bestselling textbook Introducing Econometrics for Finance (Cambridge, 2009), now in its second edition. Sotiris Tsolacos is Director of European Research at Property and Portfolio Research. He has previously held positions with Jones Lang LaSalle Research and the University of Reading, where he also obtained his PhD. He has carried out extensive research work on modelling and forecasting real estate markets with over forty papers published in major international real estate research and applied economics journals. He is also a regular commentator on topical themes in the real estate market, with numerous contributions to practitioner journals. Klappentext The first book to provide a practical introduction to the econometric analysis of real estate for students and practitioners. Zusammenfassung Assuming only a basic understanding 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. Inhaltsverzeichnis 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....
