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
In recent years, there has been a rise of interest in the use of various spectral methods in economi...
The thesis deals with a brief compilation of the theory of Fourier transform, linear filtration and ...
Los métodos wavelet poseen algunas características que los hacen una herramienta con gran potencial ...
This book deals with the application of wavelet and spectral methods for the analysis of nonlinear a...
In this paper, we examine the applications of wavelet analysis on finance and related fields. We go...
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...
An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified ...
This chapter presents a set of tools, which allow gathering information about the frequency componen...
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...
This paper presents a set of tools, which allow gathering information about the frequency components...
After I survey some papers about time-frequency for economic data, I found that wavelet is a new met...
In the last decades, more and more approaches of economic issues have used mathematical tools, and a...
The use of wavelet analysis is very common in a large variety of disciplines, such as signal and ima...
This thesis presents a number of innovative techniques that can be used in the analysis of econometr...
In this paper I review what insights we have gained about economic and financial relationships from ...
In recent years, there has been a rise of interest in the use of various spectral methods in economi...
The thesis deals with a brief compilation of the theory of Fourier transform, linear filtration and ...
Los métodos wavelet poseen algunas características que los hacen una herramienta con gran potencial ...
This book deals with the application of wavelet and spectral methods for the analysis of nonlinear a...
In this paper, we examine the applications of wavelet analysis on finance and related fields. We go...
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...
An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified ...
This chapter presents a set of tools, which allow gathering information about the frequency componen...
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...
This paper presents a set of tools, which allow gathering information about the frequency components...
After I survey some papers about time-frequency for economic data, I found that wavelet is a new met...
In the last decades, more and more approaches of economic issues have used mathematical tools, and a...
The use of wavelet analysis is very common in a large variety of disciplines, such as signal and ima...
This thesis presents a number of innovative techniques that can be used in the analysis of econometr...
In this paper I review what insights we have gained about economic and financial relationships from ...
In recent years, there has been a rise of interest in the use of various spectral methods in economi...
The thesis deals with a brief compilation of the theory of Fourier transform, linear filtration and ...
Los métodos wavelet poseen algunas características que los hacen una herramienta con gran potencial ...