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Nonparametric Procedures for Testing Dynamics of Market Graph Degree of Vertices

Student: Kislitsyna Anastasiia

Supervisor: Petr Koldanov

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Final Grade: 9

Year of Graduation: 2021

The network model of a complex system is a complete weighted graph, where vertices correspond to the elements of the system. The edge weights are some similarity measures between the elements. Studying such network models, their network structures, or subgraphs, is analyzed. In this study, nonparametric procedures for checking the dynamics of network structures are proposed. The procedure under the study is based on the Wilcoxon sum of ranks test. This method is applied to random vectors from a multivariate normal distribution and to the stock returns of the American stock market. It is assumed that this tests have high power, and therefore can be used to analyze the network model of the stock market.

Full text (added May 20, 2021)

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