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

$ 63.61

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

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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.