Long memory properties and agents’ behavior: an interesting connection

Abstract

The aim of this work is to establish an interesting connection between the behavior of economic agents and the long memory features that generally occur in a wide set of time series found in economic/financial problems. It is shown that heterogeneity between agents, local interactions and spatial complexity plays a major role in the rise of long memory features, by means of extensive usage of computational multi-agent based models, stochastic analysis and Monte Carlo simulations. Despite the fact that heterogeneity is a widely known characteristic that affects the rise of long memory, the other two factors are not.