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Titlebook: Wavelet Applications in Economics and Finance; Marco Gallegati,Willi Semmler Book 2014 Springer International Publishing Switzerland 2014

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书目名称Wavelet Applications in Economics and Finance
编辑Marco Gallegati,Willi Semmler
视频video
概述Applies wavelet and spectral methods to nonlinear and dynamic processes in economics and finance.Covers a wide range of economic and financial applications.Includes applications of time-frequency deco
丛书名称Dynamic Modeling and Econometrics in Economics and Finance
图书封面Titlebook: Wavelet Applications in Economics and Finance;  Marco Gallegati,Willi Semmler Book 2014 Springer International Publishing Switzerland 2014
描述This book deals with the application of wavelet and spectral methods for the analysis of nonlinear and dynamic processes in economics and finance. It reflects some of the latest developments in the area of wavelet methods applied to economics and finance. The topics include business cycle analysis, asset prices, financial econometrics, and forecasting. An introductory paper by James Ramsey, providing a personal retrospective of a decade‘s research on wavelet analysis, offers an excellent overview over the field.
出版日期Book 2014
关键词Business cycle analysis; Dynamic and nonlinear processes; Financial econometrics; Time-frequency analys
版次1
doihttps://doi.org/10.1007/978-3-319-07061-2
isbn_softcover978-3-319-38299-9
isbn_ebook978-3-319-07061-2Series ISSN 1566-0419 Series E-ISSN 2363-8370
issn_series 1566-0419
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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Does Productivity Affect Unemployment? A Time-Frequency Analysis for the USe relevant US time series data in different time scale components and consider co-movements of productivity and unemployment over different time horizons. In a nutshell, we conclude that, according to US post-war data, productivity creates unemployment in the short and medium terms, but employment in the long run.
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Nonlinear Dynamics and Wavelets for Business Cycle Analysiss cycle. A comprehensive analysis of the feasibility of this approach is provided. Our results coincide with the business cycles peaks and troughs dates published by the National Bureau of Economic Research (NBER).
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Measuring the Impact Intradaily Events Have on the Persistent Nature of Volatilityty associated with infrequent structural changes, but is a integral part of the volatility process. Over most of the sample period, volatility exhibits the strong persistence of a long-memory process. It is only after a market surprise or unanticipated economic news announcement that volatility briefly sheds its strong persistence.
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