Modeling Financial Time Series with S-PLUS [Paperback]

Eric Zivot (Author), Jiahui Wang (Author)

Book Description

Publication Date: September 12, 2003

The field of financial econometrics has exploded over the last decade This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. This is the first book to show the power of S-PLUS for the analysis of time series data. It is written for researchers and practitioners in the finance industry, academic researchers in economics and finance, and advanced MBA and graduate students in economics and finance. Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts. Eric Zivot is an associate professor and Gary Waterman Distinguished Scholar in the Economics Department at the University of Washington, and is co-director of the nascent Professional Master's Program in Computational Finance. He regularly teaches courses on econometric theory, financial econometrics and time series econometrics, and is the recipient of the Henry T. Buechel Award for Outstanding Teaching. He is an associate editor of the Journal of Business and Economic Statistics and Studies in Nonlinear Dynamics and Econometrics. He has published papers in the leading econometrics journals, including Econometrica, Econometric Theory, the Journal of Business and Economic Statistics, Journal of Econometrics, and the Review of Economics and Statistics. Jiahui Wang is a Research Scientist at Insightful Corporation. He received a Ph.D. in Economics from the university of Washington in 1997. He has published in leading econometrics journals such as Econometrica and Journal of Business and Economic Statistics, and is the Principal Investigator of National Science Foundation SBIR grants. In 2002 Dr. Wang was selected as one of the "2000 Outstanding Scholars of the 21st Century" by International Biographical Centre.

Editorial Reviews

Review

"Certainly this book is far more than a software manual to S+FinMetrics and I believe it deserves to be read widely by people with an academic or professional interest in the analysis of financial time series…I consider Modeling Financial Time Series with S-PLUS one of the most useful additions to my bookshelf in recent years." Journal of the American Statistical Association, June 2004

"With Modeling Financial Time Series with S-PLUS, Zivot and Wang deliver an impressive tour de force covering many relevant topics in modern financial econometrics. As the table of contents outlines, the bookincludes anything from modern time series methods to recent advances in risk management, multivariate data analysis as applied to portfolio management, yiled-curve modeling to two detailed chapters on the already classic unvariate and multivariate GARCH-type volatitlity models. The topics are genereally introduced in a succint manner with brief formal discussions complemented by

 

From the Back Cover

The field of financial econometrics has exploded over the last decade. This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. This is the first book to show the power of S-PLUS for the analysis of time series data. It is written for researchers and practitioners in the finance industry, academic researchers in economics and finance, and advanced MBA and graduate students in economics and finance. Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts. This second edition is updated to cover S+FinMetrics 2.0 and includes new chapters on copulas, nonlinear regime switching models, continuous-time financial models, generalized method of moments, semi-nonparametric conditional density models, and the efficient method of moments. Eric Zivot is an associate professor and Gary Waterman Distinguished Scholar in the Economics Department, and adjunct associate professor of finance in the Business School at the University of Washington. He regularly teaches courses on econometric theory, financial econometrics and time series econometrics, and is the recipient of the Henry T. Buechel Award for Outstanding Teaching. He is an associate editor of Studies in Nonlinear Dynamics and Econometrics. He has published papers in the leading econometrics journals, including Econometrica, Econometric Theory, the Journal of Business and Economic Statistics, Journal of Econometrics, and the Review of Economics and Statistics. Jiahui Wang is a Principal and Trading Research Officer at Barclays Global Investors. He received a Ph.D. in Economics from the University of Washington in 1997. He has published in leading econometrics journals such as Econometrica and Journal of Business and Economic Statistics, and is the Principal Investigator of National Science Foundation SBIR grants. In 2002 Dr. Wang was selected as one of the "2000 Outstanding Scholars of the 21st Century" by International Biographical Centre. --This text refers to an alternate Paperback edition.

See all Editorial Reviews

Product Details

• Paperback: 632 pages
• Publisher: Springer (September 12, 2003)
• Language: English
• ISBN-10: 0387955496
• ISBN-13: 978-0387955490
• Product Dimensions: 7.8 x 5.1 x 1 inches
• Shipping Weight: 1 pounds
• Average Customer Review: 4.0 out of 5 stars  See all reviews (8 customer reviews)
• Amazon Best Sellers Rank: #2,688,552 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

16 of 21 people found the following review helpful:

5.0 out of 5 stars This is the best applied financial econometrics book., October 28, 2002

By 

"yin_luo" (Toronto, ON CANADA) - See all my reviews

This review is from: Modeling Financial Time Series with S-PLUS (Paperback)

This is an excellent book on financial econometrics, very practical yet rigorous. I wish all econometrics/statistics textbook could like this. Basic theory followed by practical examples - real life examples, not simplified ones like in other books. The authors gave detailed instructions on how to implement various econometric models, i.e. multi-factor models, GARCH, MGARCH, long memory models, state-space, etc. Most econometrics textbooks are at two extremes, they are either too theoretical (you still don't know how to put those models in real life), or too simple (lack of mathematical rigor and without advanced applications). This book is a combination of both worlds, computer codes/math models, and real life examples (some really good ones). A lot of cutting-edge techniques and advanced topics are also covered.

6 of 7 people found the following review helpful:

5.0 out of 5 stars Great applied econometrics book, even without FinMetrics!, October 8, 2006

By 

B. Peterson (Chicago, IL USA) - See all my reviews
(REAL NAME)   

This review is from: Modeling Financial Time Series with S-PLUS® (Paperback)

Zivot and Wang have done a phenomenal job of covering intermediate to advanced topics in econometrics along with the S programming language. Extensive literature reviews are coupled with robust examples and mathematics, and topped off with S code. I am a quantitative hedge fund manager, and I use the Open Source R package [..] and RMetrics [..]. I can adapt every single excercise in "Modeling Financial Time Series with S-PLUS" to use in R, and make use of them in my work. If I have one complaint it is that the book does not cover non-linear models like quantile regression or least squares, or optimization for much more than trivial two or three asset portfolios.

3 of 3 people found the following review helpful:

5.0 out of 5 stars Indispensible, October 26, 2008

By 

Scott C. Nelson (San Diego, CA) - See all my reviews
(REAL NAME)   

This review is from: Modeling Financial Time Series with S-PLUS® (Paperback)

Just to be clear: buying this book does not mean you are buying S+Finmetrics. You need to purchase Splus base + the Finmetrics module separately. Unfortunately I tried to call SPLUS (twice) to obtain an academic license, and no one ever called me back. I ended up getting a copy from my university.

I wish SPLUS would set up an online download, where I can simply pay with a credit card and download the product immediately, instead of dealing with sales people. That's a very archaic distribution system in my opinion.

But this review is about this book. In fact, this book is AMAZING. It is basically a unique combination of a S+Finmetrics userguide and a primer on financial econometrics. It covers virtually all aspects of modern financial econometrics with an emphasis on practical examples. Theory is discussed to illustrate and motivate the examples. There are no proofs. If you want understand, say, a Vector Autoregression foreasting error decomposition, are you going to slog through Hamilton's "Time Series Analysis" and try to implement it on your own? No, you are going to turn to the nice tidy description in Ch11 of this book, and then call the "fevd" method, so you know what is doing and how to interpret the results.

A note on R vs. S+Finmetrics: much of the functionality in S+ Finmetrics is available in R, it's just spread across a lot of different packages. The advantage of a commercial product such as S+ Finmetrics is that it consolidates these packages, and provides (more or less) standardized methods and classes to support them.

For example, in R it is possible to fit a long memory ARIMA model using the function fracdiff. However in R the function fracdiff does not return residuals, the inclusion of exogenous x variables or support forecasting (no predict method). In SPLUS, the same function (FARIMA) returns all of these.