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....

In the paper, I simulate the games with a joint presence of 95% VaR-rule and return-rule groups of agents in the game. Simulations highlighted the level of omniscience, next being the rule, which agents follow at the decision-making, and the third the presence of liquidity agents in the game....

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...

In the paper, we put some foundations for studying asset pricing and finance as a stochastic and behavioral process. In such process, preferences and psychology of agents represent the most important factor in the decision-making of people. Individuals have their own ways of acquiring the...

In the paper, I simulate the games with a joint presence of 95% VaR-rule and return-rule groups of agents. Simulations highlighted the level of omniscience, next being the rule, which agents follow at the decision-making, and the third the presence of liquidity agents in the game. Omniscient...

In the paper, I simulate the games with a joint presence of 95% VaR-rule and return-rule groups of agents. Simulations highlighted the level of omniscience, next being the rule, which agents follow at the decision-making, and the third the presence of liquidity agents in the game. Omniscient...

In the paper, I simulate the games with a joint presence of 95% VaR-rule and return-rule groups of agents. Simulations highlighted the level of omniscience, next being the rule, which agents follow at the decision-making, and the third the presence of liquidity agents in the game. Omniscient...

In the paper, I simulate the social network games of a portfolio selection where agents consider VaR when managing their portfolios. Such agents behave quite differently from the agents considering only the expected returns of the alternatives that are available to them in time. The level of...