This paper proposes a pragmatic, discrete time indicator to gauge the performance of portfolios over time. Integrating the shortage function (Luenberger, 1995) into a Luenberger portfolio productivity indicator (Chambers, 2002), this study estimates the changes in the relative positions of...

Randomness and regularities in finance are usually treated in probabilistic terms. In this paper, we develop a different approach in using a non-probabilistic framework based on the algorithmic information theory initially developed by Kolmogorov (1965). We develop a generic method to estimate...

Aims to give a view of the scientific production in the fields of Agent-based Computational Economics, mainly in Market Finance and Game Theory. Based on communications given at AE'2005 (Lille, USTL, France), this book offers a panorama of advances in ACE, both theoretical and methodological...

This paper presents the results of a series of experiments in a simulated double-auction stock market driven by orders. It is shown that two small groups of traders should adopt a similar behavior when subjected to identical stimuli in the laboratory. To achieve this homogenous behavior, it is...

This paper proposes a new method for determining the upper bound of any investment strategy's maximum profit, applied in a given time window [0, T]. This upper bound is defined once all the prices are known at time T and therefore represents the ex-post maximum efficiency of any investment...

Since the first multi-agents based market simulations in the nineties, many different artificial stock market models have been developped. There are mainly used to reproduce and understand real markets statistical properties such as fat tails, volatility clustering and positive auto-correlation...