Topic of the thesis: Social networks in finance, Implementation of Agent Based Models of diffusion and exchange on empirically sampled networks.

Abstract: In this research we want to study the network of financial advisors in Milan, Italy, in order to understand the causes behind its emergence, how actors take strategic decisions to navigate and exploit their surrounding environment and, finally, how the emergent structure could influence the distribution of financial products to clients. Indeed, in the last twenty years, we have witnessed an increasing interest from sociologists and computational social scientists in finance and in the dynamics of the financial world, particularly by leveraging on the means of network theory. The resulting research output is principally focused on macro ties between relevant financial players (for example, between banks or between directors in the boards of big corporations) and on connections in small and isolated groups of financial actors (like clubs of retail investors and online platforms of traders). However, little attention has been given to the study of an intermediate dimension, like the one of professional financial advisors, which helps connect the macro with the micro, and whose importance for the investing public has risen since the economic crisis. For these reasons, our research aims at filling the gap in this intermediate dimension, in terms of size and positioning in the financial world, by employing a mix of network, statistical inference and simulation tools.

Research interests: Social and Complex Networks Analysis and Inference – Agent Based Models.

Graduated from: University of Brescia.

Degrees obtained: BS in Economics and Business Administration – MS in International Business.

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