Introductory Econometrics for Finance
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.
1100594036
Introductory Econometrics for Finance
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.
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Introductory Econometrics for Finance

Introductory Econometrics for Finance

by Chris Brooks
Introductory Econometrics for Finance

Introductory Econometrics for Finance

by Chris Brooks

Paperback(Revised Edition)

$78.00 
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Overview

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.

Product Details

ISBN-13: 9780521694681
Publisher: Cambridge University Press
Publication date: 05/22/2008
Edition description: Revised Edition
Pages: 674
Product dimensions: 7.40(w) x 9.60(h) x 1.60(d)

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 Ph.D. 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 Contents

Preface to the fourth edition; 1. Introduction and mathematical foundations; 2. Statistical foundations and dealing with data; 3. A brief overview of the classical linear regression; 4. Further development of classical linear regression; 5. Classical linear regression model assumptions; 6. Univariate time-series modelling and forecasting; 7. Multivariate models; 8. Modelling volatility and correlation; 10. Switching and state space models; 11. Panel data; 12. Limited dependent variable models; 13. Simulation methods; 14. Additional econometric techniques for financial research; 15. Conducting empirical research; Appendix 1. Sources of data used in this book and the accompanying software manuals; Appendix 2. Tables of statistical distributions; Glossary; References; Index.
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