Wavelet Applications in Economics and Finance, Paperback by Gallegati, Marco ...

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Book Title: Wavelet Applications in Economics and Finance Type: Textbook Language: English width: 6.1 in Subject: System Theory, Econometrics, Statistics, Mathematical Analysis Number of Pages: Xvi, 261 Pages Publication Year: 2016 Publisher: Springer International Publishing A&G Format: Trade Paperback ISBN: 9783319382999 Publication Name: Wavelet Applications in Economics and Finance Item Width: 6.1 in Item Length: 9.3 in Subject Area: Mathematics, Science, Business & Economics Item Weight: 150.9 Oz Series: Dynamic Modeling and Econometrics in Economics and Finance Ser. Author: Willi Semmler

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Wavelet Applications in Economics and Finance, Paperback by Gallegati, Marco .... Wavelet Applications in Economics and Finance, Paperback by Gallegati, Marco (EDT); Semmler, Willi (EDT), ISBN 3319382993, ISBN-13 9783319382999, Like New Used, Free shipping in the US 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. Wavelet Applications in Economics and Finance, Paperback by Gallegati, Marco (EDT); Semmler, Willi (EDT), ISBN 3319382993, ISBN-13 9783319382999, Like New Used, Free shipping in the US 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.