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Introductory Econometrics for Finance
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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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Second edition of best-selling introduction to econometrics specifically written for finance students.

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

Reviews

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

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