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

$ 63.61

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

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, 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.