Introduction to Modern Time Series Analysis.

Kirchgässner, Gebhard and Jürgen Wolters:

ISBN 10: 354073290X / ISBN 13: 9783540732907

Published by Springer, 2007

About this Item

274 Seiten; Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 560.

Seller Inventory # 2092685

Bibliographic Details

• Title: Introduction to Modern Time Series Analysis.
• Publisher: Springer
• Publication Date: 2007
• Language: English
• ISBN 10: 354073290X
• ISBN 13: 9783540732907
• Binding: gebundene Ausgabe
• Condition: Gut
• Weight: 560 grams
• Seller catalogs:
  • 200 Mathematik

About this title

Synopsis

This book contains the most important approaches to analyze time series which may be stationary or nonstationary. It starts with modeling and forecasting univariate time series and then presents Granger causality tests and vector autoregressive models for multiple stationary time series. It also covers modeling volatilities of financial time series with autoregressive conditional heteroskedastic models.

Review

From the reviews: "This excellent textbook presents an introduction to the time series analysis. It provides a good source of information for graduate and master students in economics and statistics. It is a well-written and easy to read book, illustrated by 56 good examples. Also, many important references are listed at the end of each chapter." (Miroslav M. Ristic, Zentralblatt MATH, Vol. 1148, 2008) "This book presents to beginners a readable and easily accessible introduction to modern developments in time series econometrics and financial time series with an emphasis on basic concepts and practical applications. The book is a textbook consisting of seven chapters ... . the greatest merit of this textbook is that it enables readers to grasp the basic framework of time-series econometrics without relying on extensive reading." (Yuzo Hosoya, Mathematical Reviews, Issue 2009 k)