Introductory Econometrics for Finance

Introductory Econometrics for Finance

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Description

This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. Key features: * Thoroughly revised and updated, including two new chapters on panel data and limited dependent variable models * Problem-solving approach assumes no prior knowledge of econometrics emphasising intuition rather than formulae, giving students the skills and confidence to estimate and interpret models * Detailed examples and case studies from finance show students how techniques are applied in real research * Sample instructions and output from the popular computer package EViews enable students to implement models themselves and understand how to interpret results * Gives advice on planning and executing a project in empirical finance, preparing students for using econometrics in practice * Covers important modern topics such as time-series forecasting, volatility modelling, switching models and simulation methods * Thoroughly class-tested in leading finance schools. Bundle with EViews student version 6 available. Please contact us for more details.

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Product details

  • Paperback | 674 pages
  • 188 x 246 x 36mm | 1,437.88g
  • CAMBRIDGE UNIVERSITY PRESS
  • Cambridge, United Kingdom
  • English
  • Revised
  • 2nd Revised edition
  • 109 b/w illus. 65 tables
  • 052169468X
  • 9780521694681
  • 92,508

Review quote

'Very comprehensive, and it does a sound job of covering the territory.' The Times Higher Education Supplement

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About Chris Brooks

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 has also acted as consultant for various banks and professional bodies in the fields of finance, econometrics and real estate.

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Table of contents

List of figures; List of tables; List of boxes; List of screenshots; Preface to the second edition; Acknowledgements; 1. Introduction; 2. The classical linear regression model; 3. Further development and analysis of the classical linear regression model; 4. Classical linear regression model assumptions and diagnostic tests; 5. Univariate time series modelling and forecasting; 6. Multivariate models; 7. Modelling long-run relationships in finance; 8. Modelling volatility and correlation; 9. Switching models; 10. Panel data; 11. Limited dependent variable models; 12. Simulation methods; 13. Empirical research and doing a project or dissertation; 14. Recent and future developments; Appendix 1: A review of some fundamental mathematical and statistical concepts; Appendix 2: Tables of statistical distributions; Appendix 3: Sources of data used in this book; Index.

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