This paper reviews some of the phenomenological models which have been introduced to incorporate the scaling properties of financial data. It also illustrates a microscopic model, based on heterogeneous interacting agents, which provides a possible explanation for the complex dynamics of market returns. Scaling and multiscaling analysis performed on simulated data is in good quantitative agreement with empirical results.

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