The definitive work explaining this complex but important field of academic endeavor. Oh, and by the way, it's not just academic. The big question that financial econometircs addresses is: What can you learn about the future from the financial data available from the past? This broad issue can be specified in many different ways, and all the important ones are discussed in the book. . . . The vast literature on all the topics examined is assessed, rendered coherent, and then analysed by three men who themselves have made significant advances in the field. (Ruben Lee London Financial Market )
This book is sophisticated, yet accessible; full of details, yet intriguing. . . . Instructors will appreciate the attempt to make each chapter as self contained as possible which leaves them free to choose specified sequences of topics. Professionals will be pleased with the quick and authoritative introductions to important areas of Finance. . . . [A] well written introduction (indeed, something more) to Financial Econometrics. It is alert, explicit and articulate about assumptions. . . a splendid offering. . . . (Maurizio Tiso Review of Financial Studies )
Written by the "A" team of financial empiricism, it is a long awaited book. It covers many topics one could only usually find couched in the technical jargon of research papers, presented in this volume with pedagogical intentions. The language, while remaining technical, is quite accessible. It can be effortlessly read by scientific traders with standard knowledge of statistical methods. . . . This book should be made mandatory reading in research departments. (Derivative Strategies )
This book is a very good basic textbook for econometrics in analyzing financial markets. I think this book might need some updating though, especially the copyright is 1998. There are a lot of later papers applying the concepts which deserve inclusion in a potential later edition.
Nevertheless, it is still a formidable book. Best for specialists in the field.
I was also skeptical of the negative reviews surrounding this book ("CML"). However after buying and reading this book, I now believe they had merit.
Simply stated, this book does not cater to its readers. If you have the prerequisites that the authors demand, then this book is comprehensive but ultimately below what ought to challenge you. And if you don't, then I guarantee you will be very lost. Unlike many similar volumes, CML is not self-contained (nor does it claim to be). And unlike many books that build a self-contained "model" of asset pricing dynamics, CML is full of literature-specific jargon and inconsistent notation. In fact much of this notation changes intrachapter.
Suppose you are a reader at the level CML insist their readers be. Then all the better to spend more time understanding Duffie's "Dynamic Asset Pricing," or Cochrane's veritable tour-de-force, "Asset Pricing." Both books are more contemporary and also at a better level for the readers CLM had in mind.
If you don't have the requisite knowledge, please ignore CML and try Luenenberger and Casella/Berger, as well as Greene for econometric-specific stats, Hamilton for time-series. You will not regret these purchases.
CML claims to fill a gaping hole in the secondary literature. But in reality, CML sits right in the middle of two types of readers, and caters effectively to none.
This book used to be a must the first time it has been published but after ten years it is getting old and the topic is now better covered by some others authors. The arch/garch section is really weak and this book by its sole is not enough to implement advanced models.
The authors also forgot to include practical implementation of the models with Splus or Matlab or whatever language, which is now almost a standard in many financial engineering related books.
For the past ten years, this boook was the standard of financial time series and cross sectional analysis. There are several more recent books on the subject, but as the first good book in the field, it is still keeping up. Lot of the derivation in the book is a bit spotty - but that is expected at this level of sophistication and originality. There are some frustrating parts in the book, but if you cannot chew through that material, you should probably read an easier book.
I'm not sure what the audience for this extremely poorly written book is. Is it graduate-level students? If so, this book will drive them totally crazy and depressed, thanks to its confusing structure, lack of contextual motivation for the topics covered, and nonsensical, semi-rigorous mathematical treatment of the subject. Is it "quant" practitioners? If so, it'll leave them more confused and pessimistic about their trade than ever -- or just leave them feeling disappointed and frustrated, which was how I felt when I tried to read this book.
This book is so bad it serves as neither a textbook nor a reference. It has no value whatsoever. Want to know the technical details of VAR models and when to use them and when not to use them? You won't find it here. Ditto for GARCH models. Ditto for ECM models. Ditto for dynamic pricing models. I'm pretty well-grounded in advanced math, statistics, econometrics, and financial economics, and I have to confess I had no clue what the word and sentences and math notations in this book meant. The contents are totally incoherent.
Please do everyone a favor and don't buy this absolutely worthless book, so publishers won't be encouraged to kills trees in order to print such trash.
I just used this book in my master in finance course and think its very good but a bit outdated and incomplete. I was able to benefit from it, but only because of my previous strong finance, econometrics and computing knowledge. Without any of my skills i would be surely lost. The sad part is i cant remember another book filling its niche. Maybe only John Cochrane "Asset Pricing" overlaps well in some subjects.
The book outline the econometrics of major finance issues, but doesnt give detailed descriptions of main results. As an example, the Maximum likelihood formulas for multifactor asset pricing models are simply shown, but they dont explain how they got there (the likelihood function), so additional effort is needed if one wants to modify something - [A Critic : If you need to work on the econometrics of something yourself you dont need to buy the book, just learn finance and econometrics and put it together yourself !!]
The book maybe useful as a reference on many subjects, but to actually implement the models (as a practictioner or analyst) you will most likely need additional knowledge/books on a given subject. They also dont show any kind of algorithms/computing techniques or codes to do implement it, so you must be skilled enough at computing to crack it.
As an improving suggestion, the authors should reduce the number of chapters/subjects, completing it with more detailed formulas and computer codes/guides to actual implementation.
This book seems to have written to cash in on the fame of the authors and the stampede in academia and industry towards financial econometrics.
The book already assumes you are proficent in basic and advanced econometrics, derivatives pricing, fixed income, microstructure, neural networks etc. If you already familiar with those fields, why do you need this book? For example, Chapter 10 on Fixed Income Securities covers a grand total of 28 pages beginning with "Basic Concepts" and ending with "Yield Spreads and Interest Rate forecasts". Meanwhile there are whole tomes devoted to every one of those sections in Chapter 10. Nonparameteric Estimation merits a grand total of 9 pages and Neural networks merits 7 pages in Chapter 12.
The chapter on Microstructure, virtue of the book being published in 1997 is thoroughly dated. Even for its 1997 publication the chapter is thoroughly lacking. It is neither a survey nor a exposition of theory or practial uses of microstructure theory. Today there are excellent theoretical and practical books devoted to every topic covered in this book.
Save your money for one of those.
This is really a classic book on financial econometrics. I like the design of the book. The content is also pretty up-to-date. A little bit advanced - requires solid background in econometrics, analysis, statistics, and some stochastic calculus. The only problem I have is the authors did not provide background data, so it's really hard for people to do self-study like me. If the authors could include a preferred computer program (i.e. Matlab, GAUSS, EViews, etc.) with codes and data, that will make the book a true bible of financial econometrics.
This is a concise treatment of major foundation topics in financial economics. Although my interest is in monetary economics and macro, I finally have a book I will keep and use on financial economics. It closely blends the insight and "wisdom" behind the various theories with parsimonious amounts of math. Careful, patient reading and a comfortable grasp of econometrics is required but will be rewarded. Notation changes were a bit of a problem, though the authors address this issue early on. The end of chapter questions are good but it would've helped to have answers. Overall, it is intuitive "page turner" material.
It takes time to work yourself through this book. The authors assume a good background in econometric theory. If you take your time though (a lot of time), you will like it. I was frustrated with it at first (it is my first econometrics book), but having spent a full semester with it, I now feel quite comfortable with the subject matter. This is not a book you can just read at night before you go to bed. This book needs to be studied carefully. Buy it only if you are a graduate student in econ or finance, or a practitioner in the field. This book is no fun and you will only read it (and learn to appreciate its depth) if you absolutely have to.
It is a good book, but there are some aspects which I find lacking in the book which could be helpful. For example, brief outline answers to some of the problems at the end of the chapter will help most readers no doubt. Also, a more comprehensive cover on the rational bubbles and GARCH type models for asset returns will help no doubt, as well as problems that may arise during implementation. This book is aimed at the advance graduate student who is pretty proficient in theoretical finance and advance econometric issues already.
In recent years, the economist have used various econometric method in analyses financial market, but though you can discover some excellent book for financial theory,such as Darrell Duffie's "Dynamic Asset Pricing Theory",there is few comprehensive book on the theories and applications of econometric tools for emprirical finance. So when I found this book, I was so excited. Only having read several chapters, I think it an excellent book, though some difficult, and can't help to introduce it. I think every student who is interested in financial market should read it, at least scan it to know the content of this book. If you have this book, then you can throw all other book on this subject, don't waste time to read them, what you need is just this excellent book. Unfortunely I havn't it,and I hope to own it some day. At last, I have to say thank you to Prof. Gregory Chow who brough this book to my University, so I have chance to read such an excellent book.
Product Details :
Hardcover: 632 pages
Publisher: Princeton University Press (December 9, 1996)
Language: English
ISBN-10: 0691043019
ISBN-13: 978-0691043012
Product Dimensions: 6 x 1.6 x 9 inches
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