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

$ 63.61

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

Description

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.