RATS Handbook to Accompany Introductory Econometrics for Finance

by Chris Brooks

Overview

Written to complement the second edition of best-selling textbook Introductory Econometrics for Finance, this book provides a comprehensive introduction to the use of the Regression Analysis of Time Series (RATS) software for modelling in finance and beyond. It provides numerous worked examples with carefully annotated code and detailed explanations of the outputs, giving readers the knowledge and confidence to use the software for their own research and to interpret their own results. A wide variety of important modelling approaches are covered, including such topics as time-series analysis and forecasting, volatility modelling, limited dependent variable and panel methods, switching models and simulations methods. The book is supported by an accompanying website containing freely downloadable data and RATS instructions.

Product Details

ISBN-13:	9780521896955
Publisher:	Cambridge University Press
Publication date:	11/06/2008
Pages:	214
Product dimensions:	7.50(w) x 9.70(h) x 0.70(d)

About the Author

Chris Brooks is Professor of Finance at the ICMA Centre, University of Reading, UK, where he also obtained his PhD. He has published over 60 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.

Table of Contents

Preface; 1. Introduction; 2. The classical linear regression model; 3. Further development and analysis of the classical linear regression model; 4. Diagnostic testing; 5. Formulating and estimating ARMA models; 6. Multivariate models; 7. Modelling long-run relationships; 8. Modelling volatility and correlation; 9. Switching models; 10. Panel data; 11. Limited dependent variable models; 12. Simulations methods; References; Index.