Introduction to Modern Time Series Analysis (Springer Texts in Business and Economics)

Kirchgässner, Gebhard, Wolters, Jürgen, Hassler, Uwe

ISBN 10: 3642440290 / ISBN 13: 9783642440298

Editore: Springer, 2014

Like New. Codice articolo ERICA77336424402906

Riassunto:

This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series, bridging the gap between methods and realistic applications. It presents the most important approaches to the analysis of 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 autogressive models are presented. As the modelling of nonstationary uni- or multivariate time series is most important for real applied work, unit root and cointegration analysis as well as vector error correction models are a central topic. Tools for analysing nonstationary data are then transferred to the panel framework. Modelling the (multivariate) volatility of financial time series with autogressive conditional heteroskedastic models is also treated.

Dalla quarta di copertina:

This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series, bridging the gap between methods and realistic applications. It presents the most important approaches to the analysis of 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 autogressive models are presented. As the modelling of nonstationary uni- or multivariate time series is most important for real applied work, unit root and cointegration analysis as well as vector error correction models are a central topic. Tools for analysing nonstationary data are then transferred to the panel framework. Modelling the (multivariate) volatility of financial time series with autogressive conditional heteroskedastic models is also treated.

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Titolo: Introduction to Modern Time Series Analysis ...
Casa editrice: Springer
Data di pubblicazione: 2014
Legatura: Paperback
Condizione: Like New
Edizione: seconda edizione
Tipologia articolo: book