Description
Eric Zivot – Modeling Financial Time Series with S-Plus
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. It 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.Eric Zivot – Modeling Financial Time Series with S-Plus
Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts. This edition covers S+FinMetrics 2.0 and includes new chapters. Eric Zivot – Modeling Financial Time Series with S-Plus
From the reviews of the second edition:
“It provides theoretical and empirical discussions on exhaustive topics in modern financial econometrics, statistics and time series. … it is definitely a good reference book for use in studying and/or researching in modern empirical finance … .” (T. S. Wirjanto, Short Book Reviews, Vol. 26 (1), 2006) Eric Zivot – Modeling Financial Time Series with S-Plus
“…It is a pleasure to strongly recommend this text, and to include statisticians such as myself among the pleased audience.” (Thomas L. Burr for Techommetrics, Vol. 49, No. 1, February 2007)
“This book has a double function. First, it serves as a guide to models and estimation methods for extracting information from financial time series, and second, as a user’s guide for Insightful’s S+FinMetrics package. That makes it interesting for mainly two communities of readers: the academic community in econometrics, statistics and finance, and the pracitioners in the finance industry. …In summary this book is excellent to learn key methods and corresponding S+FinMetrics functions to analyze financial time series.” (Valerie Chavez-Dumoulin for Journal of Statistical Software, Vol. 17, February 2007)
“This is the second edition of the book devoted to a new 2.0 version of S+FinMetrix module of statistical functions for financial time series analysis and financial econometrics. It can be used as the users guide for S+FinMetrix and as a general reference for financial statistics on S-Plus. The book covers a variety of topics in statistical analysis and visualization of time series … .” (R. E. Maiboroda, Zentralblatt MATH, Vol. 1092 (18), 2006)
“Analyzing financial time series has been enjoying increasing popularity over the last decade. … The book under review covers many of these different theories and methods. … The intended audience comprises both researchers and practitioners in the finance industry, academic researchers in financial econometrics, but also advanced and graduate students. … As almost every relevant topic from financial econometrics is under consideration, this book is a must for every person with empirical interest who has decided to use S, S-PLUS and S+FinMetrics as underlying platform.” (Matthias Fischer, Allgemeines Statistisches Archiv, Vol. 90, 2006)
“This book is a guide on how to analyze and model financial time series data using S-PLUS and S-FinMetrics. … The book is aimed for a wide audience of workers in the areas of empirical finance … and many researchers in economics and finance, marketing, and even management. This publication can also be an important tool for graduate students in the areas of statistics, economics, finance, and operations research. … In conclusion … a much needed book on financial time series … .” (Stergios B. Fotopoulos, Technometrics, Vol. 49 (3), August, 2007)
“This second edition is a compilation of methods for analyzing financial time series using S-PLUS and the S-PLUS module S+FinMetrics. … The sheer number of time series topics covered by the book is impressive … . if you are a knowledgeable reader looking for a brief exposition of many common and current results, along with illuminating applications and illustrations with S-PLUS and S+FinMetrics, you will be pleased.” (Jane L. Harvill, Sky & Telescope, November, 2007)
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