Simple measure of similarity for the market graph construction
Grigory Bautin (),
Valery Kalyagin (),
Alexander Koldanov (),
Petr Koldanov () and
Panos Pardalos ()
Computational Management Science, 2013, vol. 10, issue 2, 105-124
A simple measure of similarity for the construction of the market graph is proposed. The measure is based on the probability of the coincidence of the signs of the stock returns. This measure is robust, has a simple interpretation, is easy to calculate and can be used as measure of similarity between any number of random variables. For the case of pairwise similarity the connection of this measure with the sign correlation of Fechner is noted. The properties of the proposed measure of pairwise similarity in comparison with the classic Pearson correlation are studied. The simple measure of pairwise similarity is applied (in parallel with the classic correlation) for the study of Russian and Swedish market graphs. The new measure of similarity for more than two random variables is introduced and applied to the additional deeper analysis of Russian and Swedish markets. Some interesting phenomena for the cliques and independent sets of the obtained market graphs are observed. Copyright Springer-Verlag Berlin Heidelberg 2013
Keywords: Measure of dependence of random variables; Pearson correlation; Sign correlation; Market graph; Stock returns; Independent sets; Cliques (search for similar items in EconPapers)
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