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Titlebook: Introduction to Modern Time Series Analysis; Gebhard Kirchg?ssner,Jürgen Wolters,Uwe Hassler Textbook 2013Latest edition Springer-Verlag G

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書目名稱Introduction to Modern Time Series Analysis
編輯Gebhard Kirchg?ssner,Jürgen Wolters,Uwe Hassler
視頻videohttp://file.papertrans.cn/474/473926/473926.mp4
概述Presents modern methods of time series econometrics and their applications to macroeconomics and finance.With numerous examples and analyses based on real economic data.Helps to acquire a rigorous und
叢書名稱Springer Texts in Business and Economics
圖書封面Titlebook: Introduction to Modern Time Series Analysis;  Gebhard Kirchg?ssner,Jürgen Wolters,Uwe Hassler Textbook 2013Latest edition Springer-Verlag G
描述.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..?.
出版日期Textbook 2013Latest edition
關(guān)鍵詞Cointegration; Granger Causality; Time Series Analysis; Unit Roots; Vector Autogressive Models; Volatilit
版次2
doihttps://doi.org/10.1007/978-3-642-33436-8
isbn_softcover978-3-642-44029-8
isbn_ebook978-3-642-33436-8Series ISSN 2192-4333 Series E-ISSN 2192-4341
issn_series 2192-4333
copyrightSpringer-Verlag GmbH Germany, part of Springer Nature 2013
The information of publication is updating

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Springer Texts in Business and Economicshttp://image.papertrans.cn/i/image/473926.jpg
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Granger Causality,ased on these models. However, the world does not consist of independent stochastic processes. Just the contrary: in accordance with general equilibrium theory, economists usually assume that everything depends on everything else. Therefore, the next question that arises is about (causal) relationships between different time series.
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Nonstationary Processes,DP series investigated in .. We tried to eliminate the trend by using first differences or growth rates. These filtered series can be investigated by employing the concepts that were developed for the analysis of stationary time series.
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Cointegration,increases over time, the series exhibits persistent behaviour and its first difference is stationary. For many economic time series, such a data generating process is a sufficient approximation, so that, in the following, we only consider processes which are integrated of order one (I(1)).
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er development should profit from integrated laboratory, meso- and macrocosm studies to deal with more specific and complex questions in early fish population dynamics. This strategy permits studies including post-metamorphosed stages. Larger programs within this field should utilize international c
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Gebhard Kirchg?ssner,Jürgen Wolters,Uwe Hasslering at a time when the holders of such obsolete tenures as leases for lives and copyholds of inheritance (formerly included among the yeomen) had recently been, or were still being, bought out by their landlords and their tenancies exchanged for annual agreements or leases for terms of years..
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