After I survey some papers about time-frequency for economic data, I found that wavelet is a new method to improve models on economic model. It can analyze financial variable which is stock returns or S&P500 and economic data which is US industrial production, then we compare them with cross-correlations. The results show that stock market returns trend to lead the level of economic activity, but only at the highest scales(long periodic time)which is also a lowest frequencies. 1
International audienceVarious forms of instability can be observed in macroeconomic and financial da...
textabstractWe briefly describe the major advantages of using the wavelet transform for the processi...
This paper adds to the literature on the information content of different spreads for real activity ...
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...
The relationship between stock market returns and economic activity is investigated using signal dec...
This book deals with the application of wavelet and spectral methods for the analysis of nonlinear a...
This chapter presents a set of tools, which allow gathering information about the frequency componen...
The use of wavelet analysis is very common in a large variety of disciplines, such as signal and ima...
In this paper I review what insights we have gained about economic and financial relationships from ...
This paper presents a set of tools, which allow gathering information about the frequency components...
In this paper, we examine the applications of wavelet analysis on finance and related fields. We go...
The thesis deals with a brief compilation of the theory of Fourier transform, linear filtration and ...
Multiresolution wavelet analysis is a natural way to decompose economic time series into components ...
In the last decades, more and more approaches of economic issues have used mathematical tools, and a...
International audienceVarious forms of instability can be observed in macroeconomic and financial da...
textabstractWe briefly describe the major advantages of using the wavelet transform for the processi...
This paper adds to the literature on the information content of different spreads for real activity ...
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...
The relationship between stock market returns and economic activity is investigated using signal dec...
This book deals with the application of wavelet and spectral methods for the analysis of nonlinear a...
This chapter presents a set of tools, which allow gathering information about the frequency componen...
The use of wavelet analysis is very common in a large variety of disciplines, such as signal and ima...
In this paper I review what insights we have gained about economic and financial relationships from ...
This paper presents a set of tools, which allow gathering information about the frequency components...
In this paper, we examine the applications of wavelet analysis on finance and related fields. We go...
The thesis deals with a brief compilation of the theory of Fourier transform, linear filtration and ...
Multiresolution wavelet analysis is a natural way to decompose economic time series into components ...
In the last decades, more and more approaches of economic issues have used mathematical tools, and a...
International audienceVarious forms of instability can be observed in macroeconomic and financial da...
textabstractWe briefly describe the major advantages of using the wavelet transform for the processi...
This paper adds to the literature on the information content of different spreads for real activity ...