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

$ 63.61

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

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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, Brand New, 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, Brand New, 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.