We simulate social network games of a portfolio selection to analyze how knowledge, preferences of agents and their level of omniscience affect their decision-making. The key feature of the paper is that preferences and the level of omniscience of agents very much determine the ways agents make...

A social network has been used to simulate how agents of different levels of risk aversion under different circumstances behave in financial markets when deciding between risk-free and a risky asset. This is done by a discrete time version evolutionary game of risk-loving and risk-averse agents....

We simulate social network games of a portfolio selection to analyze the role of liquidity individuals for the developments in individuals’ decision-making in financial markets. Liquidity individuals prove to be a significant element in the decision-making process of the entire network, as...

This paper analyzes the field of investors’ decision-making on a multi-asset market. It does it through a simulation games on a social network framework. It has been demonstrated that more stocks there are in the game and more changing alternatives investors have available to choose from,...