Time Series Econometrics

Klaus Neusser (Autor)

Buch | Hardcover

XXIV, 409 Seiten

2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-32861-4 (ISBN)

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This text presents modern developments in time series analysis and focuses on their application to economic problems. The book first introduces the fundamental concept of a stationary time series and the basic properties of covariance, investigating the structure and estimation of autoregressive-moving average (ARMA) models and their relations to the covariance structure. The book then moves on to non-stationary time series, highlighting its consequences for modeling and forecasting and presenting standard statistical tests and regressions. Next, the text discusses volatility models and their applications in the analysis of financial market data, focusing on generalized autoregressive conditional heteroskedastic (GARCH) models. The second part of the text devoted to multivariate processes, such as vector autoregressive (VAR) models and structural vector autoregressive (SVAR) models, which have become the main tools in empirical macroeconomics. The text concludes with a discussionof co-integrated models and the Kalman Filter, which is being used with increasing frequency. Mathematically rigorous, yet application-oriented, this self-contained text will help students develop a deeper understanding of theory and better command of the models that are vital to the field. Assuming a basic knowledge of statistics and/or econometrics, this text is best suited for advanced undergraduate and beginning graduate students.

Prof. Klaus Neusser

1. Introduction.- 2. ARMA models.- 3. Forecasting stationary processes.- 4. Estimation of Mean and Autocovariance Function.- 5.Estimation of ARMA Models.- 6. Spectral Analysis and Linear Filters.- 7. Integrated Processes.- 8. Models of Volatility.- 9. Multivariate Time series.- 10. Estimation of Covariance Function.- 11. VARMA Processes.- 12. Estimation of VAR Models.- 13. Forecasting with VAR Models.- 14. Interpretation of VAR Models.- 15. Co-integration.- 16. The Kalman Filter.- 17. Appendices.

"Neusser offers an important addition to the market for books on time series econometrics, and definitely fills a gap within the market and complements existing offerings. This is an excellent effort, and I have enjoyed the book." (Benjamin Wong, Economic Record, Vol. 95 (310), September, 2019)

"The present monograph is a practical and comprehensive introduction to an area that lies at the core of econometrics. ... It requires minimal prerequisites, and is almost surely accessible to senior undergraduate or beginning graduate students, and certainly to independent researchers ... . I find this book to be a valuable addition to the monographic literature on time series." (Giuseppe Castellacci, Mathematical Reviews, October, 2017)

Erscheinungsdatum	08.10.2016
Reihe/Serie	Springer Texts in Business and Economics
Zusatzinfo	XXIV, 409 p. 66 illus., 64 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik
	Wirtschaft ► Allgemeines / Lexika
	Wirtschaft ► Volkswirtschaftslehre ► Finanzwissenschaft
	Wirtschaft ► Volkswirtschaftslehre ► Makroökonomie
	Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie
Schlagworte	ARMA • Beveridge-Nelson • Co-integration • Econometrics • Economics and finance • GARCH • Kalman Filter • Macroeconomics/Monetary Economics//Financial Econo • Statistics for Business/Economics/Mathematical Fin • SVAR • Time Series Analysis • VaR
ISBN-10	3-319-32861-1 / 3319328611
ISBN-13	978-3-319-32861-4 / 9783319328614
Zustand	Neuware