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Introductory Econometrics for Finance, by Chris Brooks
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This bestselling and thoroughly classroom-tested textbook is a complete resource for finance students. A comprehensive and illustrated discussion of the most common empirical approaches in finance prepares students for using econometrics in practice, while detailed case studies help them understand how the techniques are used in relevant financial contexts. Worked examples from the latest version of the popular statistical software EViews guide students to implement their own models and interpret results. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Building on the successful data- and problem-driven approach of previous editions, this third edition has been updated with new data, extensive examples and additional introductory material on mathematics, making the book more accessible to students encountering econometrics for the first time. A companion website, with numerous student and instructor resources, completes the learning package.
- Sales Rank: #135161 in Books
- Published on: 2014-06-16
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x 1.22" w x 7.44" l, 3.50 pounds
- Binding: Paperback
- 740 pages
Review
Review of previous edition:
"Very comprehensive, and it does a sound job of covering the territory."
The Times Higher Education Supplement
"... there is an ever greater need for a textbook like this that applies relevant econometric topics to the field of finance. The book explains difficult concepts in a clear and easily understandable way, with plenty of real-world practical illustrations. A particularly welcome feature, and extremely helpful to students, is the use of examples with computer printouts on how to estimate models using the Eviews software. I highly recommend it."
Bruce Morley, University of Bath
"... essential reading for my courses in both applied and financial econometrics. The topics cut across both the conventional and the modern. The exploration of the subject matter is in-depth and reflective of both rigour and simplicity."
Tapas Mishra, Swansea University
"The book adopts an extremely reader-friendly approach to discuss a challenging field."
Nikolaos Voukelatos, Kent Business School
"This excellent book provides practical econometric solutions for empirical finance. It is an ideal textbook for introductory courses on financial econometrics ..."
Minjoo Kim, Adam Smith Business School, University of Glasgow
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.
Most helpful customer reviews
35 of 36 people found the following review helpful.
A practical approach to financial econometrics
By OTAVIO R MEDEIROS, PhD
As a professor of financial econometrics in a master's degree course in accounting, I was eagerly searching for a book which should be comprehensive, understandable, and practical. Professor Brooks book came to me as a auspicious surprise. It is very readable, it contains chapters on the main topics of modern empirical studies in finance and accounting, and it brings a lot of exercises not only at the conceptual level, but also exercises with software applications, which are described in detail throughout the book. The only problem is that the software exercises are carried out with data taken from a British company that does not supply them freely. Therefore, unless someone is willing to spend a little fortune, one must reproduce the exercises using alternative data (in my case, data for Brazilian companies or the Brazilian stock market). Of course, it is not possible to get to the results presented in the book, so that the reader's analysis and conclusions might be different from the book's, which may bring doubts about the correctness of the reader's exercise. Despite this, the book is really very good as a text and exercise book for a financial econometrics course at the MSc level, and also a good starting point for those willing to embark on empirical studies in finance and accounting.
12 of 13 people found the following review helpful.
Wonderful contribution to undergraduate econometrics and time series
By G. Yanez
This book is the perfect textbook to get undergraduate students motivated with the subject.
It is simple and readable, yet provides a complete treatment of the econometrics of financial series.
I would also recommend this textbook for MBA students, since it contains valuable applications to Eviews and RATS.
If you are interested in an introductory course to econometrics for economists, you will probably prefer Wooldridge's intro book. It has more information on panel data and limited dependent variables.
This one has a terrific and desirable bias towards students particularly interested in finance. The book quickly departs from econometrics towards time series, a topic much more relevant in business schools and is far better in this subject than Wooldridge's.
6 of 6 people found the following review helpful.
Great introductory and practical book
By Erick Ramos Murillo
My life would have been way easier if I had read this book while in college. It has what many other books lack, and that is explanations on how to carry out the different estimation methods in commonly used software packages such as E-Views and RATS. As for its contents, it has an excellent coverage on the topics that concern those who work with financial time series. It is a good summary of the econometric techniques used for high-frequency data. The explanations are simple and clear and it has a very practical approach. I would only add to this book a CD with the time series with which the estimations were run.
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