Wavelet analysis allows for a much more flexible approach than spectral analysis, being highly utilized in many fields, it is a natural evolution from the Fourier analysis. Unifying both time domain and frequency domain in its analysis, it gives the researcher the ability to observe relations that were previously inaccessible and its flexibility makes it recommended to analyze series with structural changes. This work contains a chronological and theoretical introduction of the technique, focusing on what will be used, presenting some successful applications in economics. Lastly, it is created a measure of economic activity by denoising, in both global and specific scales, the seasonally adjusted GDP series and utilizing this measure in a P...
Este trabalho apresenta um método de predição não linear de séries temporais econômicas. O método ba...
Multiresolution wavelet analysis is a natural way to decompose economic time series into components ...
The aim of this article is to present original application wavelets to the prediction of short-term ...
This paper implements a wavelets-based analysis of the Phillips curve hypothesis — as formulated by ...
The use of wavelet analysis is very common in a large variety of disciplines, such as signal and ima...
In the last decades, more and more approaches of economic issues have used mathematical tools, and a...
Wavelets são descritas como sendo capazes de dar tanto resolução em frequência como resoluçãao tempo...
This paper surveys the techniques of wavelets analysis and the associated methods of denoising. The ...
International audienceThe purpose of the paper is to revisit the inflation-output gap relationship u...
This thesis presents a number of innovative techniques that can be used in the analysis of econometr...
Economic agents simultaneously operate at different horizons. Many economic processes are the result...
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...
The goal of this work project is to discuss and analyze the relation between the components of the P...
Orientadores : Sonia Maria Gomes, Marco Antonio RaupTese (doutorado) - Universidade Estadual de Camp...
In this paper we apply wavelet analysis to the detection of long waves in wholesale price index for ...
Este trabalho apresenta um método de predição não linear de séries temporais econômicas. O método ba...
Multiresolution wavelet analysis is a natural way to decompose economic time series into components ...
The aim of this article is to present original application wavelets to the prediction of short-term ...
This paper implements a wavelets-based analysis of the Phillips curve hypothesis — as formulated by ...
The use of wavelet analysis is very common in a large variety of disciplines, such as signal and ima...
In the last decades, more and more approaches of economic issues have used mathematical tools, and a...
Wavelets são descritas como sendo capazes de dar tanto resolução em frequência como resoluçãao tempo...
This paper surveys the techniques of wavelets analysis and the associated methods of denoising. The ...
International audienceThe purpose of the paper is to revisit the inflation-output gap relationship u...
This thesis presents a number of innovative techniques that can be used in the analysis of econometr...
Economic agents simultaneously operate at different horizons. Many economic processes are the result...
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...
The goal of this work project is to discuss and analyze the relation between the components of the P...
Orientadores : Sonia Maria Gomes, Marco Antonio RaupTese (doutorado) - Universidade Estadual de Camp...
In this paper we apply wavelet analysis to the detection of long waves in wholesale price index for ...
Este trabalho apresenta um método de predição não linear de séries temporais econômicas. O método ba...
Multiresolution wavelet analysis is a natural way to decompose economic time series into components ...
The aim of this article is to present original application wavelets to the prediction of short-term ...