We propose a graphical method to visualize possible time-varying correlations between fifteen stock market values. The method is useful for observing stable or emerging clusters of stock markets with similar behaviour. The graphs, originated from applying multidimensional scaling techniques (MDS), may also guide the construction of multivariate econometric models
The scaling properties encompass in a simple analysis many of the volatility characteristics of fina...
Using a metric related to the returns correlation, a method is proposed to reconstruct an economic s...
This paper applied MDS and Fourier transform to analyze different periods of the business cycle. W...
We propose a graphical method to visualize possible time-varying correlations be- tween fifteen sto...
We propose a graphical method to visualize possible time-varying correlations between fifteen stock...
This paper applies Multidimensional scaling techniques for visualizing possible time-varying correla...
This paper applies Multidimensional scalling techniques and Fourier Transform for visualizing possib...
Classifying stocks by measuring the similarity between them can provide investors with a reliable re...
The aim of this article is to briefly review and make new studies of correlations and co-movements o...
In this paper, we apply multidimensional scaling (MDS) and parametric similarity indices (PSI) in th...
International audienceThe aim of this article is to briefly review and make new studies of correlati...
In this paper we have analyzed scaling properties of time series of stock market indices (...
The core of stock portfolio diversification is to pick stocks from different correlation clusters wh...
This paper studies complex systems using a generalized multidimensional scaling (MDS) technique. Com...
Long before we started with the 21st millennium, Stephen Hawking saw the current millennium as the m...
The scaling properties encompass in a simple analysis many of the volatility characteristics of fina...
Using a metric related to the returns correlation, a method is proposed to reconstruct an economic s...
This paper applied MDS and Fourier transform to analyze different periods of the business cycle. W...
We propose a graphical method to visualize possible time-varying correlations be- tween fifteen sto...
We propose a graphical method to visualize possible time-varying correlations between fifteen stock...
This paper applies Multidimensional scaling techniques for visualizing possible time-varying correla...
This paper applies Multidimensional scalling techniques and Fourier Transform for visualizing possib...
Classifying stocks by measuring the similarity between them can provide investors with a reliable re...
The aim of this article is to briefly review and make new studies of correlations and co-movements o...
In this paper, we apply multidimensional scaling (MDS) and parametric similarity indices (PSI) in th...
International audienceThe aim of this article is to briefly review and make new studies of correlati...
In this paper we have analyzed scaling properties of time series of stock market indices (...
The core of stock portfolio diversification is to pick stocks from different correlation clusters wh...
This paper studies complex systems using a generalized multidimensional scaling (MDS) technique. Com...
Long before we started with the 21st millennium, Stephen Hawking saw the current millennium as the m...
The scaling properties encompass in a simple analysis many of the volatility characteristics of fina...
Using a metric related to the returns correlation, a method is proposed to reconstruct an economic s...
This paper applied MDS and Fourier transform to analyze different periods of the business cycle. W...