ENGLISH

Introduction to Modern Time Series Analysis

By Gebhard Kirchgässner , Jürgen Wolters

Book information

Publisher
Springer
Year
2007
ISBN
354073290X, 9783540732907, 9783540732914
Open Library ID
OL12810601M
Language
english
Format
PDF
Filesize
1 MB (1520151 bytes)
Edition
1
Pages
277\277
Library
kolxoz
Time added
2009-07-20 03:45:11

Description

This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series. It attempts to bridge the gap between methods and realistic applications. This book contains the most important approaches to analyse time series which may be stationary or nonstationary. Modelling and forecasting univariate time series is the starting point. For multiple stationary time series Granger causality tests and vector autoregressive models are presented. For real applied work the modelling of nonstationary uni- or multivariate time series is most important. Therefore, unit root and cointegration analysis as well as vector error correction models play a central part. Modelling volatilities of financial time series with autoregressive conditional heteroskedastic models is also treated.

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