An Introduction to Wavelets
and Other Filtering Methods in Finance and Economics
Overview
An Introduction to Wavelets
and Other Filtering Methods in Finance and Economics presents a unified view of filtering
techniques with a special focus on wavelet analysis in finance and economics. It
emphasizes the methods and explanations of the theory that underlies them. It also
concentrates on exactly what wavelet analysis (and filtering methods in general) can
reveal about a time series. It offers testing issues which can be performed with wavelets
in conjunction with the multi-resolution analysis. The descriptive focus of the book
avoids proofs and provides easy access to a wide spectrum of parametric and nonparametric
filtering methods. Examples and empirical applications will show readers the capabilities,
advantages, and disadvantages of each method.
CONTENTS:
Preface Introduction Linear
Filters Optimum Linear Estimation Discrete Wavelet Transforms Wavelets and Stationary
Processes Wavelet Denoising Wavelets for Variance-Covariance Estimation Artificial Neural
Networks
"This timely volume
will be of interest to anyone who wants to understand the latest technology for analyzing
economic and financial time series. The authors are to be commended for their clear and
comprehensive presentation of a fascinating and powerful approach to time-series
analysis." Halbert White, University OF California, San Diego
What can wavelet analysis
tell us about time series? Filled with empirical applications from economics and finance,
this book presents a unified view of filtering techniques. It provides easy access to a
wide spectrum of parametric and nonparametric filtering methods, moving from older,
well-known methods to newer ones, including neural networks. Avoiding proofs as much as
possible and emphasizing explanations and underlying theories, the authors ensure that
both those who are familiar with wavelets and those who ought to be have a definitive book
that reveals the capabilities, advantages, and disadvantages of each method.
358 pages