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Visualization of Relations Between Financial Indices Using Multidimensional Scalling
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This paper applies Multidimensional scaling techniques for visualizing possible time-varying correlations between twenty five stock market values. The method is useful for observing stable or emerging clusters of stock markets with similar behavior. The graphs may also guide the construction of multivariate econometric models.