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...

While the paper lacks an abstract, it argues that the proportion of a portfolio devoted to cash decreases as wealth grows. This is consistent with decreasing relative risk aversion and with a money demand that is normal, but not superior.

While there is no abstract for this paper, it makes an argument that relative risk aversion is decreasing in wealth rather than increasing in wealth as hypothesized by Arrow, using the money demand findings of Friedman.

In the paper we present a proposal of augmenting portfolio analysis for the infinitely divisible distributions of returns - so that the prices of assets can follow Lévy processes. In this article we propose a model in which asset prices follow multidimensional Lévy process and the...

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,...

A new approach to portfolio analysis of financial market risks by random set tools is considered. Despite many attempts, the consistent and global modeling of financial markets remains an open problem. In particular it remains a challenge to find a simple and tractable economic and probabilistic...

The main idea of this paper is to introduce Tradeable Measures of Risk as an objective and model independent way of measuring risk. The present methods of risk measurement, such as the standard Value-at-Risk supported by BASEL II, are based on subjective assumptions of future returns. Therefore...

Conditional Value-at-Risk (CVaR) measures the expected loss amount beyond VaR. It has vast advantage over VaR because of its property of coherence. This paper gives an analytical solution in a complete market setting to the risk reward problem faced by a portfolio manager whose portfolio needs...