This introduction to contemporary topics in the modelling of financial time series is data and problem driven, giving students the skills to estimate and interpret models, and intuitively grasp the underlying theoretical econometrics. An introductory knowledge of calculus, algebra, statistics and regression analysis is assumed. The book focuses on the needs of finance students and uses pedagogic textbook features throughout, notably in the later chapters, which offer advice on planning and executing a project in empirical finance, and which also evaluates sources of on-line financial information.
|Publisher:||Cambridge University Press|
|Sold by:||Barnes & Noble|
|File size:||131 MB|
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About the Author
Chris Brooks is Professor of Finance and Director of Research at the ICMA Centre, Henley Business School, University of Reading, where he also obtained his PhD. He has diverse research interests and has published over a hundred articles in leading academic and practitioner journals, and six books. He is Associate Editor of several journals, including the Journal of Business Finance and Accounting, the International Journal of Forecasting and the British Accounting Review. He acts as consultant and advisor for various banks, corporations and professional bodies in the fields of finance, real estate, and econometrics.
Table of ContentsPreface to the third edition; Acknowledgements; 1. Introduction; 2. Mathematical and statistical foundations; 3. A brief overview of the classical linear regression model; 4. Further development and analysis of the classical linear regression model; 5. Classical linear regression model assumptions and diagnostic tests; 6. Univariate time series modelling and forecasting; 7. Multivariate models; 8. Modelling long-run relationships in finance; 9. Modelling volatility and correlation; 10. Switching models; 11. Panel data; 12. Limited dependent variable models; 13. Simulation methods; 14. Conducting empirical research or doing a project or dissertation in finance; Appendix 1. Sources of data used in this book; Appendix 2. Tables of statistical distributions; Glossary; References; Index.