Analysis of financial indexes with computational techniques

Abstract

This paper applies Multidimensional scaling techniques and Fourier Transform for visualizing possible timevarying 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.