Customer Reviews

Introductory Econometrics for Finance

5 star:		(11)
4 star:		(7)
3 star:		(1)
2 star:		(0)
1 star:		(0)

 

 

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.

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.

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.

This is the book I would recommend for every student who wants to start using econometrics in finance. From OLS regressions to garch and Markov-switching models, this book covers a lot of key econometric materials. It's short, very clear and well-written. It is the best introductory book to financial econometrics I've read so far. The first part of the book (on the OLS model) can be read by students who have no particular background in econometrics. The second part of the book (mainly on time series models) is very convenient for final year BSc / 1st year MSc students in finance. Math is used only when it is strictly required. Focus is really placed on the intuition behind the model. There are a lot of finance papers that are discussed (related to the author's work) and a lot of detailed applications using Eviews and RATS (with a nice and short introduction to these softwares in chapter 1). The programs are available free on the editor's website while the data are NOT! (Datastream did not want the data to be downloadable free of charge...No comment) That's why I do not give 5 stars to the book. And there is nothing on intraday data.

I would recommend this for beginners not only in econometrics, but also who do not have much knowledge in Maths or need a refresher along the way. This book is the best for introduction, the most user accessible text on this topic I know of. For example, it even explains what a trace of a matrix, so that one does not have to back and forth between books.

I cant exactly review the whole book because I haven't read it all.....

but chapter 5 and 7.1 helped me tremendously in a financial econometrics subject.
What the lecturer covered in 6 weeks, chris brooks covers in 1 chapter and a little bit that's even greater detail. Definitions, examples, and can follow the discussion a lot easier by telling you exactly what you need to know that's not too simple yet not to detailed.
Especially since the assignment required us to complete ARIMA modelling in eviews, this book almost does it for you.
I must have a bad lecturer, because her notes were all over the place, no structure at all and the subject was made a lot harder than it really was.

I will get to reading more of the book very soon...but for now can only say good things about it

I have taught this subject from undergraduate to post grad level but this is the best text I have taught...!
This is equally good for the beginners of the field and also for the persons who are searching for intutive explanations of financial models.....
Apart from above there are one or two printing errors in the book...

Dr. Syed Alamdar Ali

An impresive number of applications and technics are developed accross this extensive book. The language is very clear without losing theoretical rigorousness. A chapter or annex about panel data analysis will complete the book, as long as it is an introductory book and should present all basic themes (something in the book's website could be useful). Is a great book, I'm very satisfied.

Unlike the vast majority of econometrics texts, this book combines solid economic theory with a thorough grounding in basic mathematical statistics.

it is the book i was looking for, it has all the specific topics about econometrics which help me a lot in college. and the chapter about simulation is really good