We examine several named subsets of the wealthiest individuals in the US and the UK that are compiled by Forbes Magazine and Sunday Times. The data support conventional wisdom of a wealth distribution with power law-distributed right tail, and they allow us to calibrate a statistical equilibrium...

In this paper, a simulation of high-frequency market data is performed with the Genoa Artificial Stock Market. In the market model, heterogeneous agents trade a risky asset in exchange for cash. Agents have zero intelligence and issue random limit or market orders depending on their budget...

The fast increase in computing power makes it possible to rapidly generate synthetic high frequency financial time series by Monte Carlo with any desired distribution of the increments and of the waiting times between increments, even for sets of securities as large as those traded on a whole...

The stylised facts of financial data, such as fat tails, volatility clustering, and long memory, have been successfully described within the paradigm of interacting agent hypothesis. However, a common problem that characterizes the dynamics of agent-based models is the necessary fine tuning of...