The complexity of the financial markets, represents a big challenge to the specialist in the area. The traditional way of coping with the analysis of such systems is the use of analytical models. However, the analytical models present some difficulties and this has leaded to the development of...

In this paper, we investigate the out-of-sample forecasting ability of a genetic program to approach the dynamic evolution of the Yen/US$ and Pound Sterling/US$ exchange rates, and verify whether the method can beat the random walk model. Later on, we use the predicted values to generate a...

The issue regarding the influence of intelligence on market efficiency has been discussed for a long time. Gode and Sunder (1993) mentioned that the aggregate behavior of zero-intelligence traders is able to generate an efficient market. They introduced two types of markets composed of...

Background This paper is a continuation of our investigation of the paradox of technical analysis in the stock market (Fyfe, Marney and Tarbert (1999), Marney et. al (2000)). The Efficient Markets Hypothesis (hereafter the EMH) holds that there should be no discernible pattern in share price...

This paper proposes agent-based formulation of a Supply Chain Management(SCM) system for manufacturing firms. We model each firm as an intelligent agent, which communicates each other through the blackboard architecture in distributed artificial intelligence. To overcome the issues of...

Since the end of the 1960s, price limits has been employed by many futures markets and stock markets around the world. In the literature, the effectiveness of price limits is still under debate. The main purpose of price limit is to reduce price volatility. The rationale for supporting price...